[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
2016-09-22 17:49:53,902 Epoch[0] Batch [150] Speed: 10.96 samples/sec Train-Accuracy=0.000000
2016-09-22 17:50:30,405 Epoch[0] Batch [200] Speed: 10.96 samples/sec Train-Accuracy=0.000000
2016-09-22 17:51:06,854 Epoch[0] Batch [250] Speed: 10.97 samples/sec Train-Accuracy=0.000000
2016-09-22 17:51:43,406 Epoch[0] Batch [300] Speed: 10.94 samples/sec Train-Accuracy=0.000000
2016-09-22 17:52:19,986 Epoch[0] Batch [350] Speed: 10.94 samples/sec Train-Accuracy=0.000000
2016-09-22 17:52:56,588 Epoch[0] Batch [400] Speed: 10.93 samples/sec Train-Accuracy=0.000000
2016-09-22 17:53:33,142 Epoch[0] Batch [450] Speed: 10.94 samples/sec Train-Accuracy=0.000000
2016-09-22 17:54:11,064 Epoch[0] Batch [500] Speed: 10.55 samples/sec Train-Accuracy=0.000000
2016-09-22 17:54:48,304 Epoch[0] Batch [550] Speed: 10.74 samples/sec Train-Accuracy=0.000000
2016-09-22 17:55:24,839 Epoch[0] Batch [600] Speed: 10.95 samples/sec Train-Accuracy=0.000000
2016-09-22 17:56:03,908 Epoch[0] Batch [650] Speed: 10.24 samples/sec Train-Accuracy=0.000000
2016-09-22 17:56:42,971 Epoch[0] Batch [700] Speed: 10.24 samples/sec Train-Accuracy=0.000000
2016-09-22 17:57:19,396 Epoch[0] Batch [750] Speed: 10.98 samples/sec Train-Accuracy=0.000000
2016-09-22 17:57:55,939 Epoch[0] Batch [800] Speed: 10.95 samples/sec Train-Accuracy=0.000000
2016-09-22 17:58:32,733 Epoch[0] Batch [850] Speed: 10.87 samples/sec Train-Accuracy=0.000000
2016-09-22 17:59:09,241 Epoch[0] Batch [900] Speed: 10.96 samples/sec Train-Accuracy=0.000000
2016-09-22 17:59:45,865 Epoch[0] Batch [950] Speed: 10.92 samples/sec Train-Accuracy=0.000000
2016-09-22 18:00:22,453 Epoch[0] Batch [1000] Speed: 10.93 samples/sec Train-Accuracy=0.000000
2016-09-22 18:01:02,497 Epoch[0] Batch [1050] Speed: 9.99 samples/sec Train-Accuracy=0.000000
2016-09-22 18:01:44,637 Epoch[0] Batch [1100] Speed: 9.49 samples/sec Train-Accuracy=0.000000
2016-09-22 18:02:25,207 Epoch[0] Batch [1150] Speed: 9.86 samples/sec Train-Accuracy=0.000000
2016-09-22 18:03:03,049 Epoch[0] Batch [1200] Speed: 10.57 samples/sec Train-Accuracy=0.000000
2016-09-22 18:03:40,364 Epoch[0] Batch [1250] Speed: 10.72 samples/sec Train-Accuracy=0.000000
2016-09-22 18:04:17,672 Epoch[0] Batch [1300] Speed: 10.72 samples/sec Train-Accuracy=0.000000
2016-09-22 18:04:54,962 Epoch[0] Batch [1350] Speed: 10.73 samples/sec Train-Accuracy=0.000000
2016-09-22 18:05:32,276 Epoch[0] Batch [1400] Speed: 10.72 samples/sec Train-Accuracy=0.001429
2016-09-22 18:06:09,653 Epoch[0] Batch [1450] Speed: 10.70 samples/sec Train-Accuracy=0.000000
2016-09-22 18:06:46,992 Epoch[0] Batch [1500] Speed: 10.71 samples/sec Train-Accuracy=0.000000
2016-09-22 18:07:24,343 Epoch[0] Batch [1550] Speed: 10.71 samples/sec Train-Accuracy=0.000000
2016-09-22 18:08:01,667 Epoch[0] Batch [1600] Speed: 10.72 samples/sec Train-Accuracy=0.000000
2016-09-22 18:08:39,002 Epoch[0] Batch [1650] Speed: 10.71 samples/sec Train-Accuracy=0.000000
2016-09-22 18:09:18,033 Epoch[0] Batch [1700] Speed: 10.25 samples/sec Train-Accuracy=0.000000
2016-09-22 18:09:55,497 Epoch[0] Batch [1750] Speed: 10.68 samples/sec Train-Accuracy=0.000000
2016-09-22 18:10:35,531 Epoch[0] Batch [1800] Speed: 9.99 samples/sec Train-Accuracy=0.000000
2016-09-22 18:11:16,699 Epoch[0] Batch [1850] Speed: 9.72 samples/sec Train-Accuracy=0.000000
2016-09-22 18:11:59,166 Epoch[0] Batch [1900] Speed: 9.42 samples/sec Train-Accuracy=0.000000
2016-09-22 18:12:41,509 Epoch[0] Batch [1950] Speed: 9.45 samples/sec Train-Accuracy=0.000000
2016-09-22 18:13:22,941 Epoch[0] Batch [2000] Speed: 9.65 samples/sec Train-Accuracy=0.000000
2016-09-22 18:14:03,330 Epoch[0] Batch [2050] Speed: 9.90 samples/sec Train-Accuracy=0.000000
2016-09-22 18:14:43,615 Epoch[0] Batch [2100] Speed: 9.93 samples/sec Train-Accuracy=0.000000
2016-09-22 18:15:23,754 Epoch[0] Batch [2150] Speed: 9.97 samples/sec Train-Accuracy=0.000000
2016-09-22 18:16:04,202 Epoch[0] Batch [2200] Speed: 9.89 samples/sec Train-Accuracy=0.001429
2016-09-22 18:16:45,033 Epoch[0] Batch [2250] Speed: 9.80 samples/sec Train-Accuracy=0.001429
2016-09-22 18:17:22,543 Epoch[0] Batch [2300] Speed: 10.66 samples/sec Train-Accuracy=0.001429
2016-09-22 18:17:59,712 Epoch[0] Batch [2350] Speed: 10.76 samples/sec Train-Accuracy=0.000000
2016-09-22 18:18:36,900 Epoch[0] Batch [2400] Speed: 10.76 samples/sec Train-Accuracy=0.000000
2016-09-22 18:19:14,177 Epoch[0] Batch [2450] Speed: 10.73 samples/sec Train-Accuracy=0.001429
2016-09-22 18:19:52,122 Epoch[0] Batch [2500] Speed: 10.54 samples/sec Train-Accuracy=0.000000
2016-09-22 18:20:30,469 Epoch[0] Batch [2550] Speed: 10.43 samples/sec Train-Accuracy=0.001429
2016-09-22 18:21:08,231 Epoch[0] Batch [2600] Speed: 10.59 samples/sec Train-Accuracy=0.000000
2016-09-22 18:21:47,075 Epoch[0] Batch [2650] Speed: 10.30 samples/sec Train-Accuracy=0.004286
2016-09-22 18:22:24,753 Epoch[0] Batch [2700] Speed: 10.62 samples/sec Train-Accuracy=0.001429
2016-09-22 18:23:02,630 Epoch[0] Batch [2750] Speed: 10.56 samples/sec Train-Accuracy=0.000000
2016-09-22 18:23:43,390 Epoch[0] Batch [2800] Speed: 9.81 samples/sec Train-Accuracy=0.000000
2016-09-22 18:24:20,725 Epoch[0] Batch [2850] Speed: 10.71 samples/sec Train-Accuracy=0.000000
2016-09-22 18:24:58,637 Epoch[0] Batch [2900] Speed: 10.55 samples/sec Train-Accuracy=0.001429
2016-09-22 18:25:35,650 Epoch[0] Batch [2950] Speed: 10.81 samples/sec Train-Accuracy=0.000000
2016-09-22 18:26:12,055 Epoch[0] Batch [3000] Speed: 10.99 samples/sec Train-Accuracy=0.002857
2016-09-22 18:26:48,428 Epoch[0] Batch [3050] Speed: 11.00 samples/sec Train-Accuracy=0.004286
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
2016-09-22 18:28:43,370 Epoch[0] Batch [3200] Speed: 10.71 samples/sec Train-Accuracy=0.005714
2016-09-22 18:29:20,208 Epoch[0] Batch [3250] Speed: 10.86 samples/sec Train-Accuracy=0.007143
2016-09-22 18:29:58,116 Epoch[0] Batch [3300] Speed: 10.55 samples/sec Train-Accuracy=0.000000
2016-09-22 18:30:35,468 Epoch[0] Batch [3350] Speed: 10.71 samples/sec Train-Accuracy=0.004286
2016-09-22 18:31:13,559 Epoch[0] Batch [3400] Speed: 10.50 samples/sec Train-Accuracy=0.004286
2016-09-22 18:31:50,855 Epoch[0] Batch [3450] Speed: 10.73 samples/sec Train-Accuracy=0.007143
2016-09-22 18:32:28,365 Epoch[0] Batch [3500] Speed: 10.66 samples/sec Train-Accuracy=0.004286
2016-09-22 18:33:05,487 Epoch[0] Batch [3550] Speed: 10.78 samples/sec Train-Accuracy=0.007143
2016-09-22 18:33:42,216 Epoch[0] Batch [3600] Speed: 10.89 samples/sec Train-Accuracy=0.002857
2016-09-22 18:34:19,006 Epoch[0] Batch [3650] Speed: 10.87 samples/sec Train-Accuracy=0.010000
2016-09-22 18:34:55,776 Epoch[0] Batch [3700] Speed: 10.88 samples/sec Train-Accuracy=0.008571
2016-09-22 18:35:33,245 Epoch[0] Batch [3750] Speed: 10.68 samples/sec Train-Accuracy=0.007143
2016-09-22 18:36:13,332 Epoch[0] Batch [3800] Speed: 9.98 samples/sec Train-Accuracy=0.005714
2016-09-22 18:36:51,957 Epoch[0] Batch [3850] Speed: 10.36 samples/sec Train-Accuracy=0.008571
2016-09-22 18:37:32,768 Epoch[0] Batch [3900] Speed: 9.80 samples/sec Train-Accuracy=0.005714
2016-09-22 18:38:12,471 Epoch[0] Batch [3950] Speed: 10.08 samples/sec Train-Accuracy=0.018571
2016-09-22 18:38:52,362 Epoch[0] Batch [4000] Speed: 10.03 samples/sec Train-Accuracy=0.010000
2016-09-22 18:39:31,124 Epoch[0] Batch [4050] Speed: 10.32 samples/sec Train-Accuracy=0.014286
2016-09-22 18:40:08,382 Epoch[0] Batch [4100] Speed: 10.74 samples/sec Train-Accuracy=0.008571
2016-09-22 18:40:46,291 Epoch[0] Batch [4150] Speed: 10.55 samples/sec Train-Accuracy=0.011429
2016-09-22 18:41:23,238 Epoch[0] Batch [4200] Speed: 10.83 samples/sec Train-Accuracy=0.011429
2016-09-22 18:41:59,300 Epoch[0] Batch [4250] Speed: 11.09 samples/sec Train-Accuracy=0.014286
2016-09-22 18:42:35,408 Epoch[0] Batch [4300] Speed: 11.08 samples/sec Train-Accuracy=0.015714
2016-09-22 18:43:11,533 Epoch[0] Batch [4350] Speed: 11.07 samples/sec Train-Accuracy=0.014286
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
2016-09-22 18:46:11,810 Epoch[0] Batch [4600] Speed: 11.08 samples/sec Train-Accuracy=0.014286
2016-09-22 18:46:48,001 Epoch[0] Batch [4650] Speed: 11.05 samples/sec Train-Accuracy=0.024286
2016-09-22 18:47:24,952 Epoch[0] Batch [4700] Speed: 10.83 samples/sec Train-Accuracy=0.024286
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
2016-09-22 18:49:13,507 Epoch[0] Batch [4850] Speed: 11.10 samples/sec Train-Accuracy=0.022857
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
2016-09-22 18:53:09,043 Epoch[0] Batch [5150] Speed: 9.78 samples/sec Train-Accuracy=0.018571
2016-09-22 18:53:48,539 Epoch[0] Batch [5200] Speed: 10.13 samples/sec Train-Accuracy=0.022857
2016-09-22 18:54:32,153 Epoch[0] Batch [5250] Speed: 9.17 samples/sec Train-Accuracy=0.031429
2016-09-22 18:55:15,021 Epoch[0] Batch [5300] Speed: 9.33 samples/sec Train-Accuracy=0.024286
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
2016-09-22 18:57:03,311 Epoch[0] Batch [5450] Speed: 11.10 samples/sec Train-Accuracy=0.024286
2016-09-22 18:57:44,184 Epoch[0] Batch [5500] Speed: 9.79 samples/sec Train-Accuracy=0.028571
2016-09-22 18:58:21,103 Epoch[0] Batch [5550] Speed: 10.83 samples/sec Train-Accuracy=0.032857
2016-09-22 18:59:00,053 Epoch[0] Batch [5600] Speed: 10.27 samples/sec Train-Accuracy=0.030000
2016-09-22 18:59:37,545 Epoch[0] Batch [5650] Speed: 10.67 samples/sec Train-Accuracy=0.032857
2016-09-22 19:00:13,700 Epoch[0] Batch [5700] Speed: 11.06 samples/sec Train-Accuracy=0.028571
2016-09-22 19:00:50,122 Epoch[0] Batch [5750] Speed: 10.98 samples/sec Train-Accuracy=0.027143
2016-09-22 19:01:27,764 Epoch[0] Batch [5800] Speed: 10.63 samples/sec Train-Accuracy=0.045714
2016-09-22 19:02:09,026 Epoch[0] Batch [5850] Speed: 9.69 samples/sec Train-Accuracy=0.041429
2016-09-22 19:02:48,329 Epoch[0] Batch [5900] Speed: 10.18 samples/sec Train-Accuracy=0.037143
2016-09-22 19:03:24,634 Epoch[0] Batch [5950] Speed: 11.02 samples/sec Train-Accuracy=0.045714
2016-09-22 19:04:00,849 Epoch[0] Batch [6000] Speed: 11.05 samples/sec Train-Accuracy=0.045714
2016-09-22 19:04:36,970 Epoch[0] Batch [6050] Speed: 11.07 samples/sec Train-Accuracy=0.040000
2016-09-22 19:05:13,006 Epoch[0] Batch [6100] Speed: 11.10 samples/sec Train-Accuracy=0.050000
2016-09-22 19:05:49,057 Epoch[0] Batch [6150] Speed: 11.10 samples/sec Train-Accuracy=0.040000
2016-09-22 19:06:25,161 Epoch[0] Batch [6200] Speed: 11.08 samples/sec Train-Accuracy=0.038571
2016-09-22 19:07:01,700 Epoch[0] Batch [6250] Speed: 10.95 samples/sec Train-Accuracy=0.051429
2016-09-22 19:07:37,778 Epoch[0] Batch [6300] Speed: 11.09 samples/sec Train-Accuracy=0.037143
2016-09-22 19:08:13,967 Epoch[0] Batch [6350] Speed: 11.05 samples/sec Train-Accuracy=0.047143
2016-09-22 19:08:50,214 Epoch[0] Batch [6400] Speed: 11.04 samples/sec Train-Accuracy=0.045714
2016-09-22 19:09:26,442 Epoch[0] Batch [6450] Speed: 11.04 samples/sec Train-Accuracy=0.051429
2016-09-22 19:10:06,406 Epoch[0] Batch [6500] Speed: 10.01 samples/sec Train-Accuracy=0.041429
2016-09-22 19:10:50,072 Epoch[0] Batch [6550] Speed: 9.16 samples/sec Train-Accuracy=0.052857
2016-09-22 19:11:28,403 Epoch[0] Batch [6600] Speed: 10.44 samples/sec Train-Accuracy=0.042857
2016-09-22 19:12:04,774 Epoch[0] Batch [6650] Speed: 11.00 samples/sec Train-Accuracy=0.047143
2016-09-22 19:12:41,153 Epoch[0] Batch [6700] Speed: 11.00 samples/sec Train-Accuracy=0.052857
2016-09-22 19:13:17,730 Epoch[0] Batch [6750] Speed: 10.94 samples/sec Train-Accuracy=0.038571
2016-09-22 19:13:55,371 Epoch[0] Batch [6800] Speed: 10.63 samples/sec Train-Accuracy=0.042857
2016-09-22 19:14:31,720 Epoch[0] Batch [6850] Speed: 11.00 samples/sec Train-Accuracy=0.065714
2016-09-22 19:15:08,410 Epoch[0] Batch [6900] Speed: 10.90 samples/sec Train-Accuracy=0.040000
2016-09-22 19:15:44,826 Epoch[0] Batch [6950] Speed: 10.98 samples/sec Train-Accuracy=0.055714
2016-09-22 19:16:27,114 Epoch[0] Batch [7000] Speed: 9.46 samples/sec Train-Accuracy=0.041429
2016-09-22 19:17:05,907 Epoch[0] Batch [7050] Speed: 10.31 samples/sec Train-Accuracy=0.061429
2016-09-22 19:17:47,790 Epoch[0] Batch [7100] Speed: 9.55 samples/sec Train-Accuracy=0.058571
2016-09-22 19:18:24,517 Epoch[0] Batch [7150] Speed: 10.89 samples/sec Train-Accuracy=0.055714
2016-09-22 19:19:00,731 Epoch[0] Batch [7200] Speed: 11.05 samples/sec Train-Accuracy=0.064286
2016-09-22 19:19:36,979 Epoch[0] Batch [7250] Speed: 11.03 samples/sec Train-Accuracy=0.064286
2016-09-22 19:20:13,117 Epoch[0] Batch [7300] Speed: 11.07 samples/sec Train-Accuracy=0.061429
2016-09-22 19:20:49,200 Epoch[0] Batch [7350] Speed: 11.09 samples/sec Train-Accuracy=0.071429
2016-09-22 19:21:25,610 Epoch[0] Batch [7400] Speed: 10.99 samples/sec Train-Accuracy=0.077143
2016-09-22 19:22:02,079 Epoch[0] Batch [7450] Speed: 10.97 samples/sec Train-Accuracy=0.065714
2016-09-22 19:22:38,621 Epoch[0] Batch [7500] Speed: 10.95 samples/sec Train-Accuracy=0.055714
2016-09-22 19:23:18,211 Epoch[0] Batch [7550] Speed: 10.10 samples/sec Train-Accuracy=0.052857
2016-09-22 19:23:54,665 Epoch[0] Batch [7600] Speed: 10.97 samples/sec Train-Accuracy=0.070000
2016-09-22 19:24:30,900 Epoch[0] Batch [7650] Speed: 11.04 samples/sec Train-Accuracy=0.060000
2016-09-22 19:25:07,419 Epoch[0] Batch [7700] Speed: 10.95 samples/sec Train-Accuracy=0.080000
2016-09-22 19:25:43,756 Epoch[0] Batch [7750] Speed: 11.01 samples/sec Train-Accuracy=0.064286
2016-09-22 19:26:20,089 Epoch[0] Batch [7800] Speed: 11.01 samples/sec Train-Accuracy=0.067143
2016-09-22 19:26:56,225 Epoch[0] Batch [7850] Speed: 11.07 samples/sec Train-Accuracy=0.064286
2016-09-22 19:27:32,457 Epoch[0] Batch [7900] Speed: 11.04 samples/sec Train-Accuracy=0.068571
2016-09-22 19:28:09,039 Epoch[0] Batch [7950] Speed: 10.93 samples/sec Train-Accuracy=0.062857
2016-09-22 19:28:45,267 Epoch[0] Batch [8000] Speed: 11.04 samples/sec Train-Accuracy=0.080000
2016-09-22 19:29:21,582 Epoch[0] Batch [8050] Speed: 11.01 samples/sec Train-Accuracy=0.070000
2016-09-22 19:29:57,916 Epoch[0] Batch [8100] Speed: 11.01 samples/sec Train-Accuracy=0.065714
2016-09-22 19:30:34,258 Epoch[0] Batch [8150] Speed: 11.01 samples/sec Train-Accuracy=0.070000
2016-09-22 19:31:10,995 Epoch[0] Batch [8200] Speed: 10.89 samples/sec Train-Accuracy=0.072857
2016-09-22 19:31:48,492 Epoch[0] Batch [8250] Speed: 10.67 samples/sec Train-Accuracy=0.074286
2016-09-22 19:32:25,051 Epoch[0] Batch [8300] Speed: 10.94 samples/sec Train-Accuracy=0.074286
2016-09-22 19:33:01,302 Epoch[0] Batch [8350] Speed: 11.03 samples/sec Train-Accuracy=0.087143
2016-09-22 19:33:37,478 Epoch[0] Batch [8400] Speed: 11.06 samples/sec Train-Accuracy=0.078571
2016-09-22 19:34:13,621 Epoch[0] Batch [8450] Speed: 11.07 samples/sec Train-Accuracy=0.075714
2016-09-22 19:34:49,720 Epoch[0] Batch [8500] Speed: 11.08 samples/sec Train-Accuracy=0.077143
2016-09-22 19:35:29,457 Epoch[0] Batch [8550] Speed: 10.07 samples/sec Train-Accuracy=0.085714
2016-09-22 19:36:12,528 Epoch[0] Batch [8600] Speed: 9.29 samples/sec Train-Accuracy=0.080000
2016-09-22 19:36:50,515 Epoch[0] Batch [8650] Speed: 10.53 samples/sec Train-Accuracy=0.084286
2016-09-22 19:37:26,716 Epoch[0] Batch [8700] Speed: 11.05 samples/sec Train-Accuracy=0.091429
2016-09-22 19:38:02,828 Epoch[0] Batch [8750] Speed: 11.08 samples/sec Train-Accuracy=0.085714
2016-09-22 19:38:39,050 Epoch[0] Batch [8800] Speed: 11.04 samples/sec Train-Accuracy=0.088571
2016-09-22 19:39:15,304 Epoch[0] Batch [8850] Speed: 11.03 samples/sec Train-Accuracy=0.074286
2016-09-22 19:39:51,511 Epoch[0] Batch [8900] Speed: 11.05 samples/sec Train-Accuracy=0.092857
2016-09-22 19:40:29,755 Epoch[0] Batch [8950] Speed: 10.46 samples/sec Train-Accuracy=0.092857
2016-09-22 19:41:05,914 Epoch[0] Batch [9000] Speed: 11.06 samples/sec Train-Accuracy=0.097143
2016-09-22 19:41:42,256 Epoch[0] Batch [9050] Speed: 11.01 samples/sec Train-Accuracy=0.084286
2016-09-22 19:42:18,375 Epoch[0] Batch [9100] Speed: 11.07 samples/sec Train-Accuracy=0.082857
2016-09-22 19:42:54,546 Epoch[0] Batch [9150] Speed: 11.06 samples/sec Train-Accuracy=0.097143
2016-09-22 19:43:30,752 Epoch[0] Batch [9200] Speed: 11.05 samples/sec Train-Accuracy=0.087143
2016-09-22 19:44:06,985 Epoch[0] Batch [9250] Speed: 11.04 samples/sec Train-Accuracy=0.102857
2016-09-22 19:44:43,114 Epoch[0] Batch [9300] Speed: 11.07 samples/sec Train-Accuracy=0.095714
2016-09-22 19:45:19,409 Epoch[0] Batch [9350] Speed: 11.02 samples/sec Train-Accuracy=0.094286
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
2016-09-22 21:10:47,772 Epoch[0] Batch [16150] Speed: 10.75 samples/sec Train-Accuracy=0.240000
2016-09-22 21:11:24,412 Epoch[0] Batch [16200] Speed: 10.92 samples/sec Train-Accuracy=0.241429
2016-09-22 21:12:00,934 Epoch[0] Batch [16250] Speed: 10.95 samples/sec Train-Accuracy=0.232857
2016-09-22 21:12:37,842 Epoch[0] Batch [16300] Speed: 10.84 samples/sec Train-Accuracy=0.231429
2016-09-22 21:13:14,107 Epoch[0] Batch [16350] Speed: 11.03 samples/sec Train-Accuracy=0.208571
2016-09-22 21:13:50,402 Epoch[0] Batch [16400] Speed: 11.02 samples/sec Train-Accuracy=0.241429
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
2016-09-22 21:19:54,465 Epoch[0] Batch [16900] Speed: 10.66 samples/sec Train-Accuracy=0.254286
2016-09-22 21:20:35,041 Epoch[0] Batch [16950] Speed: 9.86 samples/sec Train-Accuracy=0.235714
2016-09-22 21:21:15,821 Epoch[0] Batch [17000] Speed: 9.81 samples/sec Train-Accuracy=0.254286
2016-09-22 21:21:55,683 Epoch[0] Batch [17050] Speed: 10.03 samples/sec Train-Accuracy=0.252857
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
2016-09-22 21:27:26,117 Epoch[0] Batch [17500] Speed: 10.68 samples/sec Train-Accuracy=0.252857
2016-09-22 21:28:02,984 Epoch[0] Batch [17550] Speed: 10.85 samples/sec Train-Accuracy=0.255714
2016-09-22 21:28:44,798 Epoch[0] Batch [17600] Speed: 9.57 samples/sec Train-Accuracy=0.248571
2016-09-22 21:29:25,146 Epoch[0] Batch [17650] Speed: 9.91 samples/sec Train-Accuracy=0.251429
2016-09-22 21:30:03,108 Epoch[0] Batch [17700] Speed: 10.54 samples/sec Train-Accuracy=0.252857
2016-09-22 21:30:42,677 Epoch[0] Batch [17750] Speed: 10.11 samples/sec Train-Accuracy=0.274286
2016-09-22 21:31:23,105 Epoch[0] Batch [17800] Speed: 9.89 samples/sec Train-Accuracy=0.240000
2016-09-22 21:32:00,557 Epoch[0] Batch [17850] Speed: 10.68 samples/sec Train-Accuracy=0.242857
2016-09-22 21:32:37,252 Epoch[0] Batch [17900] Speed: 10.90 samples/sec Train-Accuracy=0.267143
2016-09-22 21:33:16,534 Epoch[0] Batch [17950] Speed: 10.18 samples/sec Train-Accuracy=0.270000
2016-09-22 21:33:55,026 Epoch[0] Batch [18000] Speed: 10.39 samples/sec Train-Accuracy=0.245714
2016-09-22 21:34:35,473 Epoch[0] Batch [18050] Speed: 9.89 samples/sec Train-Accuracy=0.290000
2016-09-22 21:35:16,484 Epoch[0] Batch [18100] Speed: 9.75 samples/sec Train-Accuracy=0.264286
2016-09-22 21:35:55,409 Epoch[0] Batch [18150] Speed: 10.28 samples/sec Train-Accuracy=0.280000
2016-09-22 21:36:31,397 Epoch[0] Batch [18200] Speed: 11.12 samples/sec Train-Accuracy=0.284286
2016-09-22 21:37:07,434 Epoch[0] Batch [18250] Speed: 11.10 samples/sec Train-Accuracy=0.272857
2016-09-22 21:37:43,661 Epoch[0] Batch [18300] Speed: 11.04 samples/sec Train-Accuracy=0.257143
2016-09-22 21:38:19,916 Epoch[0] Batch [18350] Speed: 11.03 samples/sec Train-Accuracy=0.277143
2016-09-22 21:38:56,113 Epoch[0] Batch [18400] Speed: 11.05 samples/sec Train-Accuracy=0.268571
2016-09-22 21:39:34,162 Epoch[0] Batch [18450] Speed: 10.51 samples/sec Train-Accuracy=0.258571
2016-09-22 21:40:10,264 Epoch[0] Batch [18500] Speed: 11.08 samples/sec Train-Accuracy=0.262857
2016-09-22 21:40:46,441 Epoch[0] Batch [18550] Speed: 11.06 samples/sec Train-Accuracy=0.287143
2016-09-22 21:41:22,444 Epoch[0] Batch [18600] Speed: 11.11 samples/sec Train-Accuracy=0.278571
2016-09-22 21:41:58,483 Epoch[0] Batch [18650] Speed: 11.10 samples/sec Train-Accuracy=0.284286
2016-09-22 21:42:34,503 Epoch[0] Batch [18700] Speed: 11.10 samples/sec Train-Accuracy=0.302857
2016-09-22 21:43:11,446 Epoch[0] Batch [18750] Speed: 10.83 samples/sec Train-Accuracy=0.287143
2016-09-22 21:43:51,201 Epoch[0] Batch [18800] Speed: 10.06 samples/sec Train-Accuracy=0.291429
2016-09-22 21:44:27,957 Epoch[0] Batch [18850] Speed: 10.88 samples/sec Train-Accuracy=0.252857
2016-09-22 21:45:07,284 Epoch[0] Batch [18900] Speed: 10.17 samples/sec Train-Accuracy=0.294286
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
2016-09-22 21:47:11,020 Epoch[0] Batch [19050] Speed: 9.79 samples/sec Train-Accuracy=0.270000
2016-09-22 21:47:51,338 Epoch[0] Batch [19100] Speed: 9.92 samples/sec Train-Accuracy=0.278571
2016-09-22 21:48:29,033 Epoch[0] Batch [19150] Speed: 10.61 samples/sec Train-Accuracy=0.275714
2016-09-22 21:49:05,476 Epoch[0] Batch [19200] Speed: 10.98 samples/sec Train-Accuracy=0.282857
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
2016-09-22 21:51:39,271 Epoch[0] Batch [19400] Speed: 9.32 samples/sec Train-Accuracy=0.265714
2016-09-22 21:52:16,341 Epoch[0] Batch [19450] Speed: 10.79 samples/sec Train-Accuracy=0.287143
2016-09-22 21:52:58,571 Epoch[0] Batch [19500] Speed: 9.47 samples/sec Train-Accuracy=0.262857
2016-09-22 21:53:36,675 Epoch[0] Batch [19550] Speed: 10.50 samples/sec Train-Accuracy=0.272857
2016-09-22 21:54:12,924 Epoch[0] Batch [19600] Speed: 11.04 samples/sec Train-Accuracy=0.305714
2016-09-22 21:54:49,006 Epoch[0] Batch [19650] Speed: 11.09 samples/sec Train-Accuracy=0.297143
2016-09-22 21:55:25,422 Epoch[0] Batch [19700] Speed: 10.98 samples/sec Train-Accuracy=0.291429
2016-09-22 21:56:01,673 Epoch[0] Batch [19750] Speed: 11.03 samples/sec Train-Accuracy=0.272857
2016-09-22 21:56:37,873 Epoch[0] Batch [19800] Speed: 11.05 samples/sec Train-Accuracy=0.284286
2016-09-22 21:57:19,267 Epoch[0] Batch [19850] Speed: 9.66 samples/sec Train-Accuracy=0.268571
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
2016-09-22 22:04:53,939 Epoch[0] Batch [20450] Speed: 11.04 samples/sec Train-Accuracy=0.301429
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
2016-09-22 22:10:06,992 Epoch[0] Batch [20850] Speed: 10.13 samples/sec Train-Accuracy=0.297143
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
2016-09-22 22:47:15,687 Epoch[0] Batch [23850] Speed: 10.58 samples/sec Train-Accuracy=0.348571
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
2016-09-22 22:55:14,257 Epoch[0] Batch [24500] Speed: 10.68 samples/sec Train-Accuracy=0.348571
2016-09-22 22:55:51,607 Epoch[0] Batch [24550] Speed: 10.71 samples/sec Train-Accuracy=0.355714
2016-09-22 22:56:30,169 Epoch[0] Batch [24600] Speed: 10.37 samples/sec Train-Accuracy=0.348571
2016-09-22 22:57:08,737 Epoch[0] Batch [24650] Speed: 10.37 samples/sec Train-Accuracy=0.337143
2016-09-22 22:57:46,341 Epoch[0] Batch [24700] Speed: 10.64 samples/sec Train-Accuracy=0.347143
2016-09-22 22:58:23,625 Epoch[0] Batch [24750] Speed: 10.73 samples/sec Train-Accuracy=0.354286
2016-09-22 22:59:00,946 Epoch[0] Batch [24800] Speed: 10.72 samples/sec Train-Accuracy=0.378571
2016-09-22 22:59:38,248 Epoch[0] Batch [24850] Speed: 10.72 samples/sec Train-Accuracy=0.345714
2016-09-22 23:00:16,090 Epoch[0] Batch [24900] Speed: 10.57 samples/sec Train-Accuracy=0.375714
2016-09-22 23:00:53,249 Epoch[0] Batch [24950] Speed: 10.76 samples/sec Train-Accuracy=0.355714
2016-09-22 23:01:30,354 Epoch[0] Batch [25000] Speed: 10.78 samples/sec Train-Accuracy=0.388571
2016-09-22 23:02:07,497 Epoch[0] Batch [25050] Speed: 10.77 samples/sec Train-Accuracy=0.362857
2016-09-22 23:02:44,763 Epoch[0] Batch [25100] Speed: 10.73 samples/sec Train-Accuracy=0.351429
2016-09-22 23:03:22,004 Epoch[0] Batch [25150] Speed: 10.74 samples/sec Train-Accuracy=0.362857
2016-09-22 23:04:00,309 Epoch[0] Batch [25200] Speed: 10.44 samples/sec Train-Accuracy=0.344286
2016-09-22 23:04:37,682 Epoch[0] Batch [25250] Speed: 10.70 samples/sec Train-Accuracy=0.381429
2016-09-22 23:05:14,898 Epoch[0] Batch [25300] Speed: 10.75 samples/sec Train-Accuracy=0.362857
2016-09-22 23:05:52,161 Epoch[0] Batch [25350] Speed: 10.73 samples/sec Train-Accuracy=0.378571
2016-09-22 23:06:29,833 Epoch[0] Batch [25400] Speed: 10.62 samples/sec Train-Accuracy=0.385714
2016-09-22 23:07:07,097 Epoch[0] Batch [25450] Speed: 10.73 samples/sec Train-Accuracy=0.354286
2016-09-22 23:07:44,372 Epoch[0] Batch [25500] Speed: 10.73 samples/sec Train-Accuracy=0.372857
2016-09-22 23:08:21,574 Epoch[0] Batch [25550] Speed: 10.75 samples/sec Train-Accuracy=0.395714
2016-09-22 23:09:01,892 Epoch[0] Batch [25600] Speed: 9.92 samples/sec Train-Accuracy=0.370000
2016-09-22 23:09:40,378 Epoch[0] Batch [25650] Speed: 10.39 samples/sec Train-Accuracy=0.352857
2016-09-22 23:10:19,052 Epoch[0] Batch [25700] Speed: 10.34 samples/sec Train-Accuracy=0.368571
2016-09-22 23:10:56,403 Epoch[0] Batch [25750] Speed: 10.71 samples/sec Train-Accuracy=0.357143
2016-09-22 23:11:33,673 Epoch[0] Batch [25800] Speed: 10.73 samples/sec Train-Accuracy=0.370000
2016-09-22 23:12:11,685 Epoch[0] Batch [25850] Speed: 10.52 samples/sec Train-Accuracy=0.375714
2016-09-22 23:12:52,662 Epoch[0] Batch [25900] Speed: 9.76 samples/sec Train-Accuracy=0.340000
2016-09-22 23:13:33,042 Epoch[0] Batch [25950] Speed: 9.91 samples/sec Train-Accuracy=0.372857
2016-09-22 23:14:13,805 Epoch[0] Batch [26000] Speed: 9.81 samples/sec Train-Accuracy=0.367143
2016-09-22 23:14:54,921 Epoch[0] Batch [26050] Speed: 9.73 samples/sec Train-Accuracy=0.362857
2016-09-22 23:15:34,138 Epoch[0] Batch [26100] Speed: 10.20 samples/sec Train-Accuracy=0.360000
2016-09-22 23:16:12,976 Epoch[0] Batch [26150] Speed: 10.30 samples/sec Train-Accuracy=0.394286
2016-09-22 23:16:50,593 Epoch[0] Batch [26200] Speed: 10.63 samples/sec Train-Accuracy=0.381429
2016-09-22 23:17:27,945 Epoch[0] Batch [26250] Speed: 10.71 samples/sec Train-Accuracy=0.401429
2016-09-22 23:18:05,229 Epoch[0] Batch [26300] Speed: 10.73 samples/sec Train-Accuracy=0.362857
2016-09-22 23:18:42,489 Epoch[0] Batch [26350] Speed: 10.74 samples/sec Train-Accuracy=0.377143
2016-09-22 23:19:19,655 Epoch[0] Batch [26400] Speed: 10.76 samples/sec Train-Accuracy=0.372857
2016-09-22 23:19:58,768 Epoch[0] Batch [26450] Speed: 10.23 samples/sec Train-Accuracy=0.354286
2016-09-22 23:20:36,530 Epoch[0] Batch [26500] Speed: 10.59 samples/sec Train-Accuracy=0.372857
2016-09-22 23:21:14,190 Epoch[0] Batch [26550] Speed: 10.62 samples/sec Train-Accuracy=0.371429
2016-09-22 23:21:51,394 Epoch[0] Batch [26600] Speed: 10.75 samples/sec Train-Accuracy=0.355714
2016-09-22 23:22:28,648 Epoch[0] Batch [26650] Speed: 10.74 samples/sec Train-Accuracy=0.372857
2016-09-22 23:23:07,950 Epoch[0] Batch [26700] Speed: 10.18 samples/sec Train-Accuracy=0.392857
2016-09-22 23:23:45,475 Epoch[0] Batch [26750] Speed: 10.66 samples/sec Train-Accuracy=0.362857
2016-09-22 23:24:23,338 Epoch[0] Batch [26800] Speed: 10.56 samples/sec Train-Accuracy=0.364286
2016-09-22 23:25:01,065 Epoch[0] Batch [26850] Speed: 10.60 samples/sec Train-Accuracy=0.385714
2016-09-22 23:25:38,907 Epoch[0] Batch [26900] Speed: 10.57 samples/sec Train-Accuracy=0.394286
2016-09-22 23:26:16,474 Epoch[0] Batch [26950] Speed: 10.65 samples/sec Train-Accuracy=0.365714
2016-09-22 23:26:53,622 Epoch[0] Batch [27000] Speed: 10.77 samples/sec Train-Accuracy=0.410000
2016-09-22 23:27:31,142 Epoch[0] Batch [27050] Speed: 10.66 samples/sec Train-Accuracy=0.364286
2016-09-22 23:28:08,260 Epoch[0] Batch [27100] Speed: 10.78 samples/sec Train-Accuracy=0.364286
2016-09-22 23:28:45,518 Epoch[0] Batch [27150] Speed: 10.74 samples/sec Train-Accuracy=0.345714
2016-09-22 23:29:23,349 Epoch[0] Batch [27200] Speed: 10.57 samples/sec Train-Accuracy=0.397143
2016-09-22 23:30:01,562 Epoch[0] Batch [27250] Speed: 10.47 samples/sec Train-Accuracy=0.352857
2016-09-22 23:30:39,599 Epoch[0] Batch [27300] Speed: 10.52 samples/sec Train-Accuracy=0.390000
2016-09-22 23:31:18,756 Epoch[0] Batch [27350] Speed: 10.22 samples/sec Train-Accuracy=0.387143
2016-09-22 23:31:58,021 Epoch[0] Batch [27400] Speed: 10.19 samples/sec Train-Accuracy=0.380000
2016-09-22 23:32:40,069 Epoch[0] Batch [27450] Speed: 9.51 samples/sec Train-Accuracy=0.394286
2016-09-22 23:33:21,622 Epoch[0] Batch [27500] Speed: 9.63 samples/sec Train-Accuracy=0.355714
2016-09-22 23:33:58,879 Epoch[0] Batch [27550] Speed: 10.74 samples/sec Train-Accuracy=0.381429
2016-09-22 23:34:36,160 Epoch[0] Batch [27600] Speed: 10.73 samples/sec Train-Accuracy=0.367143
2016-09-22 23:35:13,343 Epoch[0] Batch [27650] Speed: 10.76 samples/sec Train-Accuracy=0.392857
2016-09-22 23:35:50,554 Epoch[0] Batch [27700] Speed: 10.75 samples/sec Train-Accuracy=0.395714
2016-09-22 23:36:30,610 Epoch[0] Batch [27750] Speed: 9.99 samples/sec Train-Accuracy=0.411429
2016-09-22 23:37:09,651 Epoch[0] Batch [27800] Speed: 10.25 samples/sec Train-Accuracy=0.380000
2016-09-22 23:37:46,817 Epoch[0] Batch [27850] Speed: 10.76 samples/sec Train-Accuracy=0.410000
2016-09-22 23:38:23,285 Epoch[0] Batch [27900] Speed: 10.97 samples/sec Train-Accuracy=0.388571
2016-09-22 23:39:00,053 Epoch[0] Batch [27950] Speed: 10.88 samples/sec Train-Accuracy=0.397143
2016-09-22 23:39:36,708 Epoch[0] Batch [28000] Speed: 10.91 samples/sec Train-Accuracy=0.375714
2016-09-22 23:40:13,533 Epoch[0] Batch [28050] Speed: 10.86 samples/sec Train-Accuracy=0.410000
2016-09-22 23:40:50,057 Epoch[0] Batch [28100] Speed: 10.95 samples/sec Train-Accuracy=0.391429
2016-09-22 23:41:26,808 Epoch[0] Batch [28150] Speed: 10.88 samples/sec Train-Accuracy=0.384286
2016-09-22 23:42:03,430 Epoch[0] Batch [28200] Speed: 10.92 samples/sec Train-Accuracy=0.385714
2016-09-22 23:42:41,923 Epoch[0] Batch [28250] Speed: 10.39 samples/sec Train-Accuracy=0.414286
2016-09-22 23:43:18,971 Epoch[0] Batch [28300] Speed: 10.80 samples/sec Train-Accuracy=0.408571
2016-09-22 23:43:56,405 Epoch[0] Batch [28350] Speed: 10.69 samples/sec Train-Accuracy=0.404286
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
2016-09-23 01:09:26,850 Epoch[0] Batch [35150] Speed: 10.67 samples/sec Train-Accuracy=0.441429
2016-09-23 01:10:04,389 Epoch[0] Batch [35200] Speed: 10.66 samples/sec Train-Accuracy=0.458571
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
2016-09-23 01:28:50,875 Epoch[0] Batch [36700] Speed: 10.56 samples/sec Train-Accuracy=0.468571
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
2016-09-23 01:31:22,801 Epoch[0] Batch [36900] Speed: 10.50 samples/sec Train-Accuracy=0.472857
2016-09-23 01:32:00,514 Epoch[0] Batch [36950] Speed: 10.61 samples/sec Train-Accuracy=0.461429
2016-09-23 01:32:37,997 Epoch[0] Batch [37000] Speed: 10.67 samples/sec Train-Accuracy=0.481429
2016-09-23 01:33:16,670 Epoch[0] Batch [37050] Speed: 10.34 samples/sec Train-Accuracy=0.460000
2016-09-23 01:33:55,251 Epoch[0] Batch [37100] Speed: 10.37 samples/sec Train-Accuracy=0.470000
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
2016-09-23 01:37:54,078 Epoch[0] Batch [37400] Speed: 9.63 samples/sec Train-Accuracy=0.442857
2016-09-23 01:38:35,561 Epoch[0] Batch [37450] Speed: 9.64 samples/sec Train-Accuracy=0.447143
2016-09-23 01:39:14,018 Epoch[0] Batch [37500] Speed: 10.40 samples/sec Train-Accuracy=0.452857
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
2016-09-23 01:47:20,859 Epoch[0] Batch [38150] Speed: 10.62 samples/sec Train-Accuracy=0.448571
2016-09-23 01:47:57,959 Epoch[0] Batch [38200] Speed: 10.78 samples/sec Train-Accuracy=0.438571
2016-09-23 01:48:35,016 Epoch[0] Batch [38250] Speed: 10.79 samples/sec Train-Accuracy=0.478571
2016-09-23 01:49:14,643 Epoch[0] Batch [38300] Speed: 10.09 samples/sec Train-Accuracy=0.438571
2016-09-23 01:49:53,404 Epoch[0] Batch [38350] Speed: 10.32 samples/sec Train-Accuracy=0.478571
2016-09-23 01:50:30,891 Epoch[0] Batch [38400] Speed: 10.67 samples/sec Train-Accuracy=0.452857
2016-09-23 01:51:08,247 Epoch[0] Batch [38450] Speed: 10.71 samples/sec Train-Accuracy=0.461429
2016-09-23 01:51:45,913 Epoch[0] Batch [38500] Speed: 10.62 samples/sec Train-Accuracy=0.437143
2016-09-23 01:52:23,501 Epoch[0] Batch [38550] Speed: 10.64 samples/sec Train-Accuracy=0.474286
2016-09-23 01:53:01,153 Epoch[0] Batch [38600] Speed: 10.62 samples/sec Train-Accuracy=0.471429
2016-09-23 01:53:38,854 Epoch[0] Batch [38650] Speed: 10.61 samples/sec Train-Accuracy=0.445714
2016-09-23 01:54:16,622 Epoch[0] Batch [38700] Speed: 10.59 samples/sec Train-Accuracy=0.462857
2016-09-23 01:54:54,341 Epoch[0] Batch [38750] Speed: 10.60 samples/sec Train-Accuracy=0.437143
2016-09-23 01:55:32,952 Epoch[0] Batch [38800] Speed: 10.36 samples/sec Train-Accuracy=0.447143
2016-09-23 01:56:10,914 Epoch[0] Batch [38850] Speed: 10.54 samples/sec Train-Accuracy=0.472857
2016-09-23 01:56:48,787 Epoch[0] Batch [38900] Speed: 10.56 samples/sec Train-Accuracy=0.472857
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
2016-09-23 02:03:44,810 Epoch[0] Batch [39450] Speed: 10.32 samples/sec Train-Accuracy=0.467143
2016-09-23 02:04:26,709 Epoch[0] Batch [39500] Speed: 9.55 samples/sec Train-Accuracy=0.475714
2016-09-23 02:05:04,004 Epoch[0] Batch [39550] Speed: 10.73 samples/sec Train-Accuracy=0.447143
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
2016-09-23 02:10:13,917 Epoch[0] Batch [39950] Speed: 10.68 samples/sec Train-Accuracy=0.481429
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
2016-09-23 02:27:47,748 Epoch[0] Batch [41350] Speed: 10.40 samples/sec Train-Accuracy=0.498571
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
2016-09-23 02:59:25,188 Epoch[0] Batch [43850] Speed: 10.59 samples/sec Train-Accuracy=0.482857
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
2016-09-23 03:01:58,060 Epoch[0] Batch [44050] Speed: 10.67 samples/sec Train-Accuracy=0.472857
2016-09-23 03:02:35,322 Epoch[0] Batch [44100] Speed: 10.74 samples/sec Train-Accuracy=0.491429
2016-09-23 03:03:12,543 Epoch[0] Batch [44150] Speed: 10.75 samples/sec Train-Accuracy=0.482857
2016-09-23 03:03:49,902 Epoch[0] Batch [44200] Speed: 10.71 samples/sec Train-Accuracy=0.474286
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
2016-09-23 03:06:56,917 Epoch[0] Batch [44450] Speed: 10.73 samples/sec Train-Accuracy=0.457143
2016-09-23 03:07:34,204 Epoch[0] Batch [44500] Speed: 10.73 samples/sec Train-Accuracy=0.482857
2016-09-23 03:08:12,479 Epoch[0] Batch [44550] Speed: 10.45 samples/sec Train-Accuracy=0.505714
2016-09-23 03:08:52,684 Epoch[0] Batch [44600] Speed: 9.95 samples/sec Train-Accuracy=0.462857
2016-09-23 03:09:31,685 Epoch[0] Batch [44650] Speed: 10.26 samples/sec Train-Accuracy=0.507143
2016-09-23 03:10:10,855 Epoch[0] Batch [44700] Speed: 10.21 samples/sec Train-Accuracy=0.495714
2016-09-23 03:10:50,801 Epoch[0] Batch [44750] Speed: 10.01 samples/sec Train-Accuracy=0.482857
2016-09-23 03:11:28,103 Epoch[0] Batch [44800] Speed: 10.72 samples/sec Train-Accuracy=0.490000
2016-09-23 03:12:05,121 Epoch[0] Batch [44850] Speed: 10.81 samples/sec Train-Accuracy=0.494286
2016-09-23 03:12:42,278 Epoch[0] Batch [44900] Speed: 10.77 samples/sec Train-Accuracy=0.512857
2016-09-23 03:13:19,649 Epoch[0] Batch [44950] Speed: 10.70 samples/sec Train-Accuracy=0.472857
2016-09-23 03:13:56,920 Epoch[0] Batch [45000] Speed: 10.73 samples/sec Train-Accuracy=0.502857
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
2016-09-23 03:15:49,352 Epoch[0] Batch [45150] Speed: 10.71 samples/sec Train-Accuracy=0.455714
2016-09-23 03:16:27,498 Epoch[0] Batch [45200] Speed: 10.49 samples/sec Train-Accuracy=0.472857
2016-09-23 03:17:08,095 Epoch[0] Batch [45250] Speed: 9.85 samples/sec Train-Accuracy=0.491429
2016-09-23 03:17:45,577 Epoch[0] Batch [45300] Speed: 10.67 samples/sec Train-Accuracy=0.465714
2016-09-23 03:18:22,831 Epoch[0] Batch [45350] Speed: 10.74 samples/sec Train-Accuracy=0.508571
2016-09-23 03:19:00,401 Epoch[0] Batch [45400] Speed: 10.65 samples/sec Train-Accuracy=0.512857
2016-09-23 03:19:40,125 Epoch[0] Batch [45450] Speed: 10.07 samples/sec Train-Accuracy=0.478571
2016-09-23 03:20:17,460 Epoch[0] Batch [45500] Speed: 10.71 samples/sec Train-Accuracy=0.478571
2016-09-23 03:20:54,846 Epoch[0] Batch [45550] Speed: 10.70 samples/sec Train-Accuracy=0.497143
2016-09-23 03:21:35,052 Epoch[0] Batch [45600] Speed: 9.95 samples/sec Train-Accuracy=0.472857
2016-09-23 03:22:13,317 Epoch[0] Batch [45650] Speed: 10.45 samples/sec Train-Accuracy=0.468571
2016-09-23 03:22:50,697 Epoch[0] Batch [45700] Speed: 10.70 samples/sec Train-Accuracy=0.505714
2016-09-23 03:23:27,974 Epoch[0] Batch [45750] Speed: 10.73 samples/sec Train-Accuracy=0.542857
2016-09-23 03:24:05,159 Epoch[0] Batch [45800] Speed: 10.76 samples/sec Train-Accuracy=0.501429
2016-09-23 03:24:42,370 Epoch[0] Batch [45850] Speed: 10.75 samples/sec Train-Accuracy=0.514286
2016-09-23 03:25:19,537 Epoch[0] Batch [45900] Speed: 10.76 samples/sec Train-Accuracy=0.494286
2016-09-23 03:25:59,698 Epoch[0] Batch [45950] Speed: 9.96 samples/sec Train-Accuracy=0.487143
2016-09-23 03:26:38,658 Epoch[0] Batch [46000] Speed: 10.27 samples/sec Train-Accuracy=0.518571
2016-09-23 03:27:16,163 Epoch[0] Batch [46050] Speed: 10.67 samples/sec Train-Accuracy=0.492857
2016-09-23 03:27:53,440 Epoch[0] Batch [46100] Speed: 10.73 samples/sec Train-Accuracy=0.477143
2016-09-23 03:28:30,655 Epoch[0] Batch [46150] Speed: 10.75 samples/sec Train-Accuracy=0.510000
2016-09-23 03:29:08,398 Epoch[0] Batch [46200] Speed: 10.60 samples/sec Train-Accuracy=0.508571
2016-09-23 03:29:45,860 Epoch[0] Batch [46250] Speed: 10.68 samples/sec Train-Accuracy=0.487143
2016-09-23 03:30:23,548 Epoch[0] Batch [46300] Speed: 10.61 samples/sec Train-Accuracy=0.504286
2016-09-23 03:31:01,017 Epoch[0] Batch [46350] Speed: 10.68 samples/sec Train-Accuracy=0.490000
2016-09-23 03:31:41,186 Epoch[0] Batch [46400] Speed: 9.96 samples/sec Train-Accuracy=0.521429
2016-09-23 03:32:22,125 Epoch[0] Batch [46450] Speed: 9.77 samples/sec Train-Accuracy=0.507143
2016-09-23 03:33:01,112 Epoch[0] Batch [46500] Speed: 10.26 samples/sec Train-Accuracy=0.472857
2016-09-23 03:33:38,298 Epoch[0] Batch [46550] Speed: 10.76 samples/sec Train-Accuracy=0.494286
2016-09-23 03:34:15,584 Epoch[0] Batch [46600] Speed: 10.73 samples/sec Train-Accuracy=0.521429
2016-09-23 03:34:53,151 Epoch[0] Batch [46650] Speed: 10.65 samples/sec Train-Accuracy=0.491429
2016-09-23 03:35:33,528 Epoch[0] Batch [46700] Speed: 9.91 samples/sec Train-Accuracy=0.510000
2016-09-23 03:36:10,978 Epoch[0] Batch [46750] Speed: 10.68 samples/sec Train-Accuracy=0.492857
2016-09-23 03:36:48,258 Epoch[0] Batch [46800] Speed: 10.73 samples/sec Train-Accuracy=0.451429
2016-09-23 03:37:25,491 Epoch[0] Batch [46850] Speed: 10.74 samples/sec Train-Accuracy=0.520000
2016-09-23 03:38:02,756 Epoch[0] Batch [46900] Speed: 10.73 samples/sec Train-Accuracy=0.511429
2016-09-23 03:38:40,134 Epoch[0] Batch [46950] Speed: 10.70 samples/sec Train-Accuracy=0.492857
2016-09-23 03:39:18,090 Epoch[0] Batch [47000] Speed: 10.54 samples/sec Train-Accuracy=0.484286
2016-09-23 03:39:55,749 Epoch[0] Batch [47050] Speed: 10.62 samples/sec Train-Accuracy=0.524286
2016-09-23 03:40:33,058 Epoch[0] Batch [47100] Speed: 10.72 samples/sec Train-Accuracy=0.521429
2016-09-23 03:41:10,461 Epoch[0] Batch [47150] Speed: 10.69 samples/sec Train-Accuracy=0.497143
2016-09-23 03:41:47,682 Epoch[0] Batch [47200] Speed: 10.75 samples/sec Train-Accuracy=0.478571
2016-09-23 03:42:25,111 Epoch[0] Batch [47250] Speed: 10.69 samples/sec Train-Accuracy=0.490000
2016-09-23 03:43:02,457 Epoch[0] Batch [47300] Speed: 10.71 samples/sec Train-Accuracy=0.511429
2016-09-23 03:43:39,823 Epoch[0] Batch [47350] Speed: 10.71 samples/sec Train-Accuracy=0.532857
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
2016-09-23 03:50:41,293 Epoch[0] Batch [47900] Speed: 10.76 samples/sec Train-Accuracy=0.518571
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
2016-09-23 03:53:53,164 Epoch[0] Batch [48150] Speed: 10.50 samples/sec Train-Accuracy=0.478571
2016-09-23 03:54:33,798 Epoch[0] Batch [48200] Speed: 9.84 samples/sec Train-Accuracy=0.537143
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
2016-09-23 04:39:51,229 Epoch[0] Batch [51800] Speed: 10.66 samples/sec Train-Accuracy=0.508571
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
2016-09-23 04:58:18,721 Epoch[0] Batch [53250] Speed: 9.65 samples/sec Train-Accuracy=0.527143
2016-09-23 04:58:59,633 Epoch[0] Batch [53300] Speed: 9.78 samples/sec Train-Accuracy=0.492857
2016-09-23 04:59:37,800 Epoch[0] Batch [53350] Speed: 10.48 samples/sec Train-Accuracy=0.524286
2016-09-23 05:00:15,148 Epoch[0] Batch [53400] Speed: 10.71 samples/sec Train-Accuracy=0.532857
2016-09-23 05:00:52,320 Epoch[0] Batch [53450] Speed: 10.76 samples/sec Train-Accuracy=0.530000
2016-09-23 05:01:29,374 Epoch[0] Batch [53500] Speed: 10.80 samples/sec Train-Accuracy=0.534286
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
2016-09-23 05:03:21,822 Epoch[0] Batch [53650] Speed: 10.61 samples/sec Train-Accuracy=0.527143
2016-09-23 05:03:58,993 Epoch[0] Batch [53700] Speed: 10.76 samples/sec Train-Accuracy=0.528571
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
2016-09-23 05:06:27,615 Epoch[0] Batch [53900] Speed: 10.76 samples/sec Train-Accuracy=0.528571
2016-09-23 05:07:04,902 Epoch[0] Batch [53950] Speed: 10.73 samples/sec Train-Accuracy=0.522857
2016-09-23 05:07:41,981 Epoch[0] Batch [54000] Speed: 10.79 samples/sec Train-Accuracy=0.528571
2016-09-23 05:08:19,178 Epoch[0] Batch [54050] Speed: 10.75 samples/sec Train-Accuracy=0.537143
2016-09-23 05:08:56,626 Epoch[0] Batch [54100] Speed: 10.68 samples/sec Train-Accuracy=0.487143
2016-09-23 05:09:35,594 Epoch[0] Batch [54150] Speed: 10.26 samples/sec Train-Accuracy=0.484286
2016-09-23 05:10:14,715 Epoch[0] Batch [54200] Speed: 10.22 samples/sec Train-Accuracy=0.514286
2016-09-23 05:10:53,490 Epoch[0] Batch [54250] Speed: 10.32 samples/sec Train-Accuracy=0.517143
2016-09-23 05:11:32,929 Epoch[0] Batch [54300] Speed: 10.14 samples/sec Train-Accuracy=0.502857
2016-09-23 05:12:12,193 Epoch[0] Batch [54350] Speed: 10.19 samples/sec Train-Accuracy=0.521429
2016-09-23 05:12:50,242 Epoch[0] Batch [54400] Speed: 10.51 samples/sec Train-Accuracy=0.544286
2016-09-23 05:13:28,325 Epoch[0] Batch [54450] Speed: 10.50 samples/sec Train-Accuracy=0.534286
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
2016-09-23 05:15:27,961 Epoch[0] Batch [54600] Speed: 10.09 samples/sec Train-Accuracy=0.517143
2016-09-23 05:16:05,150 Epoch[0] Batch [54650] Speed: 10.76 samples/sec Train-Accuracy=0.528571
2016-09-23 05:16:42,357 Epoch[0] Batch [54700] Speed: 10.75 samples/sec Train-Accuracy=0.557143
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
2016-09-23 05:18:33,854 Epoch[0] Batch [54850] Speed: 10.76 samples/sec Train-Accuracy=0.528571
2016-09-23 05:19:11,350 Epoch[0] Batch [54900] Speed: 10.67 samples/sec Train-Accuracy=0.544286
2016-09-23 05:19:48,501 Epoch[0] Batch [54950] Speed: 10.77 samples/sec Train-Accuracy=0.540000
2016-09-23 05:20:25,696 Epoch[0] Batch [55000] Speed: 10.75 samples/sec Train-Accuracy=0.542857
2016-09-23 05:21:02,933 Epoch[0] Batch [55050] Speed: 10.74 samples/sec Train-Accuracy=0.531429
2016-09-23 05:21:40,204 Epoch[0] Batch [55100] Speed: 10.73 samples/sec Train-Accuracy=0.540000
2016-09-23 05:22:17,444 Epoch[0] Batch [55150] Speed: 10.74 samples/sec Train-Accuracy=0.540000
2016-09-23 05:22:54,847 Epoch[0] Batch [55200] Speed: 10.69 samples/sec Train-Accuracy=0.557143
2016-09-23 05:23:32,238 Epoch[0] Batch [55250] Speed: 10.70 samples/sec Train-Accuracy=0.535714
2016-09-23 05:24:09,505 Epoch[0] Batch [55300] Speed: 10.73 samples/sec Train-Accuracy=0.534286
2016-09-23 05:24:46,782 Epoch[0] Batch [55350] Speed: 10.73 samples/sec Train-Accuracy=0.497143
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
2016-09-23 05:26:39,401 Epoch[0] Batch [55500] Speed: 10.75 samples/sec Train-Accuracy=0.538571
2016-09-23 05:27:16,594 Epoch[0] Batch [55550] Speed: 10.75 samples/sec Train-Accuracy=0.532857
2016-09-23 05:27:53,991 Epoch[0] Batch [55600] Speed: 10.70 samples/sec Train-Accuracy=0.540000
2016-09-23 05:28:31,094 Epoch[0] Batch [55650] Speed: 10.78 samples/sec Train-Accuracy=0.515714
2016-09-23 05:29:08,852 Epoch[0] Batch [55700] Speed: 10.59 samples/sec Train-Accuracy=0.531429
2016-09-23 05:29:45,949 Epoch[0] Batch [55750] Speed: 10.78 samples/sec Train-Accuracy=0.495714
2016-09-23 05:30:23,201 Epoch[0] Batch [55800] Speed: 10.74 samples/sec Train-Accuracy=0.540000
2016-09-23 05:31:00,386 Epoch[0] Batch [55850] Speed: 10.76 samples/sec Train-Accuracy=0.535714
2016-09-23 05:31:37,624 Epoch[0] Batch [55900] Speed: 10.74 samples/sec Train-Accuracy=0.534286
2016-09-23 05:32:14,877 Epoch[0] Batch [55950] Speed: 10.74 samples/sec Train-Accuracy=0.517143
2016-09-23 05:32:52,203 Epoch[0] Batch [56000] Speed: 10.72 samples/sec Train-Accuracy=0.527143
2016-09-23 05:33:29,414 Epoch[0] Batch [56050] Speed: 10.75 samples/sec Train-Accuracy=0.540000
2016-09-23 05:34:06,794 Epoch[0] Batch [56100] Speed: 10.70 samples/sec Train-Accuracy=0.510000
2016-09-23 05:34:44,575 Epoch[0] Batch [56150] Speed: 10.59 samples/sec Train-Accuracy=0.545714
2016-09-23 05:35:23,103 Epoch[0] Batch [56200] Speed: 10.38 samples/sec Train-Accuracy=0.541429
2016-09-23 05:36:01,901 Epoch[0] Batch [56250] Speed: 10.31 samples/sec Train-Accuracy=0.502857
2016-09-23 05:36:40,790 Epoch[0] Batch [56300] Speed: 10.29 samples/sec Train-Accuracy=0.524286
2016-09-23 05:37:20,866 Epoch[0] Batch [56350] Speed: 9.98 samples/sec Train-Accuracy=0.558571
2016-09-23 05:38:01,161 Epoch[0] Batch [56400] Speed: 9.93 samples/sec Train-Accuracy=0.512857
2016-09-23 05:38:40,726 Epoch[0] Batch [56450] Speed: 10.11 samples/sec Train-Accuracy=0.541429
2016-09-23 05:39:20,163 Epoch[0] Batch [56500] Speed: 10.14 samples/sec Train-Accuracy=0.545714
2016-09-23 05:39:59,187 Epoch[0] Batch [56550] Speed: 10.25 samples/sec Train-Accuracy=0.567143
2016-09-23 05:40:38,151 Epoch[0] Batch [56600] Speed: 10.27 samples/sec Train-Accuracy=0.520000
2016-09-23 05:41:16,998 Epoch[0] Batch [56650] Speed: 10.30 samples/sec Train-Accuracy=0.552857
2016-09-23 05:41:55,838 Epoch[0] Batch [56700] Speed: 10.30 samples/sec Train-Accuracy=0.554286
2016-09-23 05:42:34,642 Epoch[0] Batch [56750] Speed: 10.31 samples/sec Train-Accuracy=0.570000
2016-09-23 05:43:13,451 Epoch[0] Batch [56800] Speed: 10.31 samples/sec Train-Accuracy=0.525714
2016-09-23 05:43:52,253 Epoch[0] Batch [56850] Speed: 10.31 samples/sec Train-Accuracy=0.527143
2016-09-23 05:44:31,019 Epoch[0] Batch [56900] Speed: 10.32 samples/sec Train-Accuracy=0.540000
2016-09-23 05:45:09,820 Epoch[0] Batch [56950] Speed: 10.31 samples/sec Train-Accuracy=0.522857
2016-09-23 05:45:48,591 Epoch[0] Batch [57000] Speed: 10.32 samples/sec Train-Accuracy=0.511429
2016-09-23 05:46:27,394 Epoch[0] Batch [57050] Speed: 10.31 samples/sec Train-Accuracy=0.557143
2016-09-23 05:47:06,156 Epoch[0] Batch [57100] Speed: 10.32 samples/sec Train-Accuracy=0.558571
2016-09-23 05:47:44,927 Epoch[0] Batch [57150] Speed: 10.32 samples/sec Train-Accuracy=0.510000
2016-09-23 05:48:23,682 Epoch[0] Batch [57200] Speed: 10.32 samples/sec Train-Accuracy=0.508571
2016-09-23 05:49:03,003 Epoch[0] Batch [57250] Speed: 10.17 samples/sec Train-Accuracy=0.557143
2016-09-23 05:49:42,628 Epoch[0] Batch [57300] Speed: 10.09 samples/sec Train-Accuracy=0.521429
2016-09-23 05:50:20,933 Epoch[0] Batch [57350] Speed: 10.44 samples/sec Train-Accuracy=0.544286
2016-09-23 05:50:58,981 Epoch[0] Batch [57400] Speed: 10.51 samples/sec Train-Accuracy=0.510000
2016-09-23 05:51:36,542 Epoch[0] Batch [57450] Speed: 10.65 samples/sec Train-Accuracy=0.552857
2016-09-23 05:52:14,110 Epoch[0] Batch [57500] Speed: 10.65 samples/sec Train-Accuracy=0.542857
2016-09-23 05:52:51,548 Epoch[0] Batch [57550] Speed: 10.68 samples/sec Train-Accuracy=0.505714
2016-09-23 05:53:28,739 Epoch[0] Batch [57600] Speed: 10.76 samples/sec Train-Accuracy=0.528571
2016-09-23 05:54:05,946 Epoch[0] Batch [57650] Speed: 10.75 samples/sec Train-Accuracy=0.552857
2016-09-23 05:54:43,092 Epoch[0] Batch [57700] Speed: 10.77 samples/sec Train-Accuracy=0.548571
2016-09-23 05:55:20,232 Epoch[0] Batch [57750] Speed: 10.77 samples/sec Train-Accuracy=0.522857
2016-09-23 05:55:57,282 Epoch[0] Batch [57800] Speed: 10.80 samples/sec Train-Accuracy=0.527143
2016-09-23 05:56:34,469 Epoch[0] Batch [57850] Speed: 10.76 samples/sec Train-Accuracy=0.520000
2016-09-23 05:57:11,517 Epoch[0] Batch [57900] Speed: 10.80 samples/sec Train-Accuracy=0.514286
2016-09-23 05:57:48,586 Epoch[0] Batch [57950] Speed: 10.79 samples/sec Train-Accuracy=0.547143
2016-09-23 05:58:25,712 Epoch[0] Batch [58000] Speed: 10.77 samples/sec Train-Accuracy=0.538571
2016-09-23 05:59:03,399 Epoch[0] Batch [58050] Speed: 10.61 samples/sec Train-Accuracy=0.520000
2016-09-23 05:59:41,417 Epoch[0] Batch [58100] Speed: 10.52 samples/sec Train-Accuracy=0.545714
2016-09-23 06:00:18,892 Epoch[0] Batch [58150] Speed: 10.67 samples/sec Train-Accuracy=0.532857
2016-09-23 06:00:56,098 Epoch[0] Batch [58200] Speed: 10.75 samples/sec Train-Accuracy=0.518571
2016-09-23 06:01:34,126 Epoch[0] Batch [58250] Speed: 10.52 samples/sec Train-Accuracy=0.555714
2016-09-23 06:02:12,417 Epoch[0] Batch [58300] Speed: 10.45 samples/sec Train-Accuracy=0.545714
2016-09-23 06:02:51,098 Epoch[0] Batch [58350] Speed: 10.34 samples/sec Train-Accuracy=0.512857
2016-09-23 06:03:28,933 Epoch[0] Batch [58400] Speed: 10.57 samples/sec Train-Accuracy=0.542857
2016-09-23 06:04:06,017 Epoch[0] Batch [58450] Speed: 10.79 samples/sec Train-Accuracy=0.528571
2016-09-23 06:04:43,195 Epoch[0] Batch [58500] Speed: 10.76 samples/sec Train-Accuracy=0.518571
2016-09-23 06:05:20,331 Epoch[0] Batch [58550] Speed: 10.77 samples/sec Train-Accuracy=0.511429
2016-09-23 06:05:57,488 Epoch[0] Batch [58600] Speed: 10.77 samples/sec Train-Accuracy=0.508571
2016-09-23 06:06:34,570 Epoch[0] Batch [58650] Speed: 10.79 samples/sec Train-Accuracy=0.541429
2016-09-23 06:07:11,836 Epoch[0] Batch [58700] Speed: 10.73 samples/sec Train-Accuracy=0.515714
2016-09-23 06:07:49,038 Epoch[0] Batch [58750] Speed: 10.75 samples/sec Train-Accuracy=0.521429
2016-09-23 06:08:26,063 Epoch[0] Batch [58800] Speed: 10.80 samples/sec Train-Accuracy=0.551429
2016-09-23 06:09:03,180 Epoch[0] Batch [58850] Speed: 10.78 samples/sec Train-Accuracy=0.535714
2016-09-23 06:09:40,254 Epoch[0] Batch [58900] Speed: 10.79 samples/sec Train-Accuracy=0.544286
2016-09-23 06:10:17,317 Epoch[0] Batch [58950] Speed: 10.79 samples/sec Train-Accuracy=0.558571
2016-09-23 06:10:55,209 Epoch[0] Batch [59000] Speed: 10.56 samples/sec Train-Accuracy=0.571429
2016-09-23 06:11:32,462 Epoch[0] Batch [59050] Speed: 10.74 samples/sec Train-Accuracy=0.568571
2016-09-23 06:12:09,707 Epoch[0] Batch [59100] Speed: 10.74 samples/sec Train-Accuracy=0.537143
2016-09-23 06:12:46,862 Epoch[0] Batch [59150] Speed: 10.77 samples/sec Train-Accuracy=0.547143
2016-09-23 06:13:24,126 Epoch[0] Batch [59200] Speed: 10.73 samples/sec Train-Accuracy=0.544286
2016-09-23 06:14:02,222 Epoch[0] Batch [59250] Speed: 10.50 samples/sec Train-Accuracy=0.531429
2016-09-23 06:14:39,391 Epoch[0] Batch [59300] Speed: 10.76 samples/sec Train-Accuracy=0.525714
2016-09-23 06:15:16,640 Epoch[0] Batch [59350] Speed: 10.74 samples/sec Train-Accuracy=0.522857
2016-09-23 06:15:53,720 Epoch[0] Batch [59400] Speed: 10.79 samples/sec Train-Accuracy=0.567143
2016-09-23 06:16:30,960 Epoch[0] Batch [59450] Speed: 10.74 samples/sec Train-Accuracy=0.522857
2016-09-23 06:17:08,230 Epoch[0] Batch [59500] Speed: 10.73 samples/sec Train-Accuracy=0.530000
2016-09-23 06:17:45,390 Epoch[0] Batch [59550] Speed: 10.76 samples/sec Train-Accuracy=0.521429
2016-09-23 06:18:23,497 Epoch[0] Batch [59600] Speed: 10.50 samples/sec Train-Accuracy=0.530000
2016-09-23 06:19:02,695 Epoch[0] Batch [59650] Speed: 10.20 samples/sec Train-Accuracy=0.545714
2016-09-23 06:19:42,164 Epoch[0] Batch [59700] Speed: 10.13 samples/sec Train-Accuracy=0.535714
2016-09-23 06:20:21,069 Epoch[0] Batch [59750] Speed: 10.28 samples/sec Train-Accuracy=0.562857
2016-09-23 06:20:59,845 Epoch[0] Batch [59800] Speed: 10.32 samples/sec Train-Accuracy=0.552857
2016-09-23 06:21:39,128 Epoch[0] Batch [59850] Speed: 10.18 samples/sec Train-Accuracy=0.537143
2016-09-23 06:22:18,414 Epoch[0] Batch [59900] Speed: 10.18 samples/sec Train-Accuracy=0.537143
2016-09-23 06:22:56,915 Epoch[0] Batch [59950] Speed: 10.39 samples/sec Train-Accuracy=0.557143
2016-09-23 06:23:35,800 Epoch[0] Batch [60000] Speed: 10.29 samples/sec Train-Accuracy=0.552857
2016-09-23 06:24:14,165 Epoch[0] Batch [60050] Speed: 10.43 samples/sec Train-Accuracy=0.540000
2016-09-23 06:24:52,984 Epoch[0] Batch [60100] Speed: 10.30 samples/sec Train-Accuracy=0.544286
2016-09-23 06:25:31,114 Epoch[0] Batch [60150] Speed: 10.49 samples/sec Train-Accuracy=0.552857
2016-09-23 06:26:09,807 Epoch[0] Batch [60200] Speed: 10.34 samples/sec Train-Accuracy=0.524286
2016-09-23 06:26:47,923 Epoch[0] Batch [60250] Speed: 10.49 samples/sec Train-Accuracy=0.534286
2016-09-23 06:27:27,045 Epoch[0] Batch [60300] Speed: 10.22 samples/sec Train-Accuracy=0.544286
2016-09-23 06:28:07,735 Epoch[0] Batch [60350] Speed: 9.83 samples/sec Train-Accuracy=0.574286
2016-09-23 06:28:46,636 Epoch[0] Batch [60400] Speed: 10.28 samples/sec Train-Accuracy=0.545714
2016-09-23 06:29:25,071 Epoch[0] Batch [60450] Speed: 10.41 samples/sec Train-Accuracy=0.540000
2016-09-23 06:30:04,130 Epoch[0] Batch [60500] Speed: 10.24 samples/sec Train-Accuracy=0.515714
2016-09-23 06:30:43,172 Epoch[0] Batch [60550] Speed: 10.25 samples/sec Train-Accuracy=0.508571
2016-09-23 06:31:22,196 Epoch[0] Batch [60600] Speed: 10.25 samples/sec Train-Accuracy=0.568571
2016-09-23 06:32:01,490 Epoch[0] Batch [60650] Speed: 10.18 samples/sec Train-Accuracy=0.581429
2016-09-23 06:32:40,544 Epoch[0] Batch [60700] Speed: 10.24 samples/sec Train-Accuracy=0.550000
2016-09-23 06:33:19,565 Epoch[0] Batch [60750] Speed: 10.25 samples/sec Train-Accuracy=0.565714
2016-09-23 06:33:58,644 Epoch[0] Batch [60800] Speed: 10.24 samples/sec Train-Accuracy=0.552857
2016-09-23 06:34:37,207 Epoch[0] Batch [60850] Speed: 10.37 samples/sec Train-Accuracy=0.554286
2016-09-23 06:35:16,066 Epoch[0] Batch [60900] Speed: 10.29 samples/sec Train-Accuracy=0.551429
2016-09-23 06:35:53,996 Epoch[0] Batch [60950] Speed: 10.55 samples/sec Train-Accuracy=0.555714
2016-09-23 06:36:32,542 Epoch[0] Batch [61000] Speed: 10.38 samples/sec Train-Accuracy=0.530000
2016-09-23 06:37:11,833 Epoch[0] Batch [61050] Speed: 10.18 samples/sec Train-Accuracy=0.531429
2016-09-23 06:37:51,650 Epoch[0] Batch [61100] Speed: 10.05 samples/sec Train-Accuracy=0.530000
2016-09-23 06:38:30,948 Epoch[0] Batch [61150] Speed: 10.18 samples/sec Train-Accuracy=0.547143
2016-09-23 06:39:09,455 Epoch[0] Batch [61200] Speed: 10.39 samples/sec Train-Accuracy=0.544286
2016-09-23 06:39:48,058 Epoch[0] Batch [61250] Speed: 10.36 samples/sec Train-Accuracy=0.557143
2016-09-23 06:40:26,802 Epoch[0] Batch [61300] Speed: 10.32 samples/sec Train-Accuracy=0.555714
2016-09-23 06:41:04,090 Epoch[0] Batch [61350] Speed: 10.73 samples/sec Train-Accuracy=0.531429
2016-09-23 06:41:41,234 Epoch[0] Batch [61400] Speed: 10.77 samples/sec Train-Accuracy=0.575714
2016-09-23 06:42:18,332 Epoch[0] Batch [61450] Speed: 10.78 samples/sec Train-Accuracy=0.522857
2016-09-23 06:42:55,458 Epoch[0] Batch [61500] Speed: 10.77 samples/sec Train-Accuracy=0.574286
2016-09-23 06:43:32,565 Epoch[0] Batch [61550] Speed: 10.78 samples/sec Train-Accuracy=0.537143
2016-09-23 06:44:09,681 Epoch[0] Batch [61600] Speed: 10.78 samples/sec Train-Accuracy=0.548571
2016-09-23 06:44:46,789 Epoch[0] Batch [61650] Speed: 10.78 samples/sec Train-Accuracy=0.531429
2016-09-23 06:45:23,829 Epoch[0] Batch [61700] Speed: 10.80 samples/sec Train-Accuracy=0.494286
2016-09-23 06:46:00,942 Epoch[0] Batch [61750] Speed: 10.78 samples/sec Train-Accuracy=0.580000
2016-09-23 06:46:38,121 Epoch[0] Batch [61800] Speed: 10.76 samples/sec Train-Accuracy=0.558571
2016-09-23 06:47:15,884 Epoch[0] Batch [61850] Speed: 10.59 samples/sec Train-Accuracy=0.545714
2016-09-23 06:47:54,198 Epoch[0] Batch [61900] Speed: 10.44 samples/sec Train-Accuracy=0.571429
2016-09-23 06:48:31,922 Epoch[0] Batch [61950] Speed: 10.60 samples/sec Train-Accuracy=0.552857
2016-09-23 06:49:09,442 Epoch[0] Batch [62000] Speed: 10.66 samples/sec Train-Accuracy=0.571429
2016-09-23 06:49:46,603 Epoch[0] Batch [62050] Speed: 10.76 samples/sec Train-Accuracy=0.511429
2016-09-23 06:50:23,737 Epoch[0] Batch [62100] Speed: 10.77 samples/sec Train-Accuracy=0.582857
2016-09-23 06:51:00,846 Epoch[0] Batch [62150] Speed: 10.78 samples/sec Train-Accuracy=0.552857
2016-09-23 06:51:37,948 Epoch[0] Batch [62200] Speed: 10.78 samples/sec Train-Accuracy=0.578571
2016-09-23 06:52:15,129 Epoch[0] Batch [62250] Speed: 10.76 samples/sec Train-Accuracy=0.535714
2016-09-23 06:52:52,309 Epoch[0] Batch [62300] Speed: 10.76 samples/sec Train-Accuracy=0.570000
2016-09-23 06:53:29,528 Epoch[0] Batch [62350] Speed: 10.75 samples/sec Train-Accuracy=0.534286
2016-09-23 06:54:07,351 Epoch[0] Batch [62400] Speed: 10.58 samples/sec Train-Accuracy=0.540000
2016-09-23 06:54:47,060 Epoch[0] Batch [62450] Speed: 10.07 samples/sec Train-Accuracy=0.542857
2016-09-23 06:55:25,127 Epoch[0] Batch [62500] Speed: 10.51 samples/sec Train-Accuracy=0.552857
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
2016-09-23 06:56:50,174 Epoch[1] Batch [50] Speed: 10.93 samples/sec Train-Accuracy=0.537143
2016-09-23 06:57:27,335 Epoch[1] Batch [100] Speed: 10.76 samples/sec Train-Accuracy=0.541429
2016-09-23 06:58:04,527 Epoch[1] Batch [150] Speed: 10.76 samples/sec Train-Accuracy=0.575714
2016-09-23 06:58:41,735 Epoch[1] Batch [200] Speed: 10.75 samples/sec Train-Accuracy=0.537143
2016-09-23 06:59:18,896 Epoch[1] Batch [250] Speed: 10.76 samples/sec Train-Accuracy=0.544286
2016-09-23 06:59:56,051 Epoch[1] Batch [300] Speed: 10.77 samples/sec Train-Accuracy=0.544286
2016-09-23 07:00:33,259 Epoch[1] Batch [350] Speed: 10.75 samples/sec Train-Accuracy=0.542857
2016-09-23 07:01:10,542 Epoch[1] Batch [400] Speed: 10.73 samples/sec Train-Accuracy=0.590000
2016-09-23 07:01:47,784 Epoch[1] Batch [450] Speed: 10.74 samples/sec Train-Accuracy=0.535714
2016-09-23 07:02:25,016 Epoch[1] Batch [500] Speed: 10.74 samples/sec Train-Accuracy=0.520000
2016-09-23 07:03:02,255 Epoch[1] Batch [550] Speed: 10.74 samples/sec Train-Accuracy=0.540000
2016-09-23 07:03:39,420 Epoch[1] Batch [600] Speed: 10.76 samples/sec Train-Accuracy=0.551429
2016-09-23 07:04:16,567 Epoch[1] Batch [650] Speed: 10.77 samples/sec Train-Accuracy=0.548571
2016-09-23 07:04:54,837 Epoch[1] Batch [700] Speed: 10.45 samples/sec Train-Accuracy=0.534286
2016-09-23 07:05:34,141 Epoch[1] Batch [750] Speed: 10.18 samples/sec Train-Accuracy=0.518571
2016-09-23 07:06:13,710 Epoch[1] Batch [800] Speed: 10.11 samples/sec Train-Accuracy=0.538571
2016-09-23 07:06:52,825 Epoch[1] Batch [850] Speed: 10.23 samples/sec Train-Accuracy=0.542857
2016-09-23 07:07:32,234 Epoch[1] Batch [900] Speed: 10.15 samples/sec Train-Accuracy=0.572857
2016-09-23 07:08:10,729 Epoch[1] Batch [950] Speed: 10.39 samples/sec Train-Accuracy=0.585714
2016-09-23 07:08:50,108 Epoch[1] Batch [1000] Speed: 10.16 samples/sec Train-Accuracy=0.548571
2016-09-23 07:09:27,223 Epoch[1] Batch [1050] Speed: 10.78 samples/sec Train-Accuracy=0.532857
2016-09-23 07:10:04,424 Epoch[1] Batch [1100] Speed: 10.75 samples/sec Train-Accuracy=0.570000
2016-09-23 07:10:41,656 Epoch[1] Batch [1150] Speed: 10.74 samples/sec Train-Accuracy=0.534286
2016-09-23 07:11:18,827 Epoch[1] Batch [1200] Speed: 10.76 samples/sec Train-Accuracy=0.564286
2016-09-23 07:11:56,853 Epoch[1] Batch [1250] Speed: 10.52 samples/sec Train-Accuracy=0.522857
2016-09-23 07:12:36,241 Epoch[1] Batch [1300] Speed: 10.16 samples/sec Train-Accuracy=0.517143
2016-09-23 07:13:14,369 Epoch[1] Batch [1350] Speed: 10.49 samples/sec Train-Accuracy=0.548571
2016-09-23 07:13:51,718 Epoch[1] Batch [1400] Speed: 10.71 samples/sec Train-Accuracy=0.537143
2016-09-23 07:14:28,999 Epoch[1] Batch [1450] Speed: 10.73 samples/sec Train-Accuracy=0.500000
2016-09-23 07:15:06,306 Epoch[1] Batch [1500] Speed: 10.72 samples/sec Train-Accuracy=0.552857
2016-09-23 07:15:43,723 Epoch[1] Batch [1550] Speed: 10.69 samples/sec Train-Accuracy=0.541429
2016-09-23 07:16:21,134 Epoch[1] Batch [1600] Speed: 10.69 samples/sec Train-Accuracy=0.537143
2016-09-23 07:16:58,450 Epoch[1] Batch [1650] Speed: 10.72 samples/sec Train-Accuracy=0.574286
2016-09-23 07:17:35,789 Epoch[1] Batch [1700] Speed: 10.71 samples/sec Train-Accuracy=0.558571
2016-09-23 07:18:13,066 Epoch[1] Batch [1750] Speed: 10.73 samples/sec Train-Accuracy=0.582857
2016-09-23 07:18:50,282 Epoch[1] Batch [1800] Speed: 10.75 samples/sec Train-Accuracy=0.560000
2016-09-23 07:19:27,661 Epoch[1] Batch [1850] Speed: 10.70 samples/sec Train-Accuracy=0.575714
2016-09-23 07:20:04,884 Epoch[1] Batch [1900] Speed: 10.75 samples/sec Train-Accuracy=0.582857
2016-09-23 07:20:42,020 Epoch[1] Batch [1950] Speed: 10.77 samples/sec Train-Accuracy=0.557143
2016-09-23 07:21:19,716 Epoch[1] Batch [2000] Speed: 10.61 samples/sec Train-Accuracy=0.544286
2016-09-23 07:21:57,014 Epoch[1] Batch [2050] Speed: 10.72 samples/sec Train-Accuracy=0.560000
2016-09-23 07:22:34,200 Epoch[1] Batch [2100] Speed: 10.76 samples/sec Train-Accuracy=0.602857
2016-09-23 07:23:11,262 Epoch[1] Batch [2150] Speed: 10.79 samples/sec Train-Accuracy=0.550000
2016-09-23 07:23:49,291 Epoch[1] Batch [2200] Speed: 10.52 samples/sec Train-Accuracy=0.590000
2016-09-23 07:24:28,789 Epoch[1] Batch [2250] Speed: 10.13 samples/sec Train-Accuracy=0.550000
2016-09-23 07:25:06,696 Epoch[1] Batch [2300] Speed: 10.55 samples/sec Train-Accuracy=0.570000
2016-09-23 07:25:43,798 Epoch[1] Batch [2350] Speed: 10.78 samples/sec Train-Accuracy=0.578571
2016-09-23 07:26:20,973 Epoch[1] Batch [2400] Speed: 10.76 samples/sec Train-Accuracy=0.561429
2016-09-23 07:26:58,434 Epoch[1] Batch [2450] Speed: 10.68 samples/sec Train-Accuracy=0.561429
2016-09-23 07:27:35,563 Epoch[1] Batch [2500] Speed: 10.77 samples/sec Train-Accuracy=0.547143
2016-09-23 07:28:12,759 Epoch[1] Batch [2550] Speed: 10.75 samples/sec Train-Accuracy=0.554286
2016-09-23 07:28:52,725 Epoch[1] Batch [2600] Speed: 10.01 samples/sec Train-Accuracy=0.550000
2016-09-23 07:29:31,434 Epoch[1] Batch [2650] Speed: 10.33 samples/sec Train-Accuracy=0.591429
2016-09-23 07:30:09,317 Epoch[1] Batch [2700] Speed: 10.56 samples/sec Train-Accuracy=0.527143
2016-09-23 07:30:47,151 Epoch[1] Batch [2750] Speed: 10.57 samples/sec Train-Accuracy=0.548571
2016-09-23 07:31:25,086 Epoch[1] Batch [2800] Speed: 10.54 samples/sec Train-Accuracy=0.547143
2016-09-23 07:32:02,849 Epoch[1] Batch [2850] Speed: 10.59 samples/sec Train-Accuracy=0.577143
2016-09-23 07:32:40,700 Epoch[1] Batch [2900] Speed: 10.57 samples/sec Train-Accuracy=0.561429
2016-09-23 07:33:18,815 Epoch[1] Batch [2950] Speed: 10.49 samples/sec Train-Accuracy=0.592857
2016-09-23 07:33:58,182 Epoch[1] Batch [3000] Speed: 10.16 samples/sec Train-Accuracy=0.562857
2016-09-23 07:34:38,054 Epoch[1] Batch [3050] Speed: 10.03 samples/sec Train-Accuracy=0.534286
2016-09-23 07:35:16,670 Epoch[1] Batch [3100] Speed: 10.36 samples/sec Train-Accuracy=0.570000
2016-09-23 07:35:54,737 Epoch[1] Batch [3150] Speed: 10.51 samples/sec Train-Accuracy=0.532857
2016-09-23 07:36:32,640 Epoch[1] Batch [3200] Speed: 10.55 samples/sec Train-Accuracy=0.565714
2016-09-23 07:37:09,909 Epoch[1] Batch [3250] Speed: 10.73 samples/sec Train-Accuracy=0.577143
2016-09-23 07:37:48,868 Epoch[1] Batch [3300] Speed: 10.27 samples/sec Train-Accuracy=0.541429
2016-09-23 07:38:28,096 Epoch[1] Batch [3350] Speed: 10.20 samples/sec Train-Accuracy=0.564286
2016-09-23 07:39:07,249 Epoch[1] Batch [3400] Speed: 10.22 samples/sec Train-Accuracy=0.562857
2016-09-23 07:39:46,859 Epoch[1] Batch [3450] Speed: 10.10 samples/sec Train-Accuracy=0.564286
2016-09-23 07:40:26,551 Epoch[1] Batch [3500] Speed: 10.08 samples/sec Train-Accuracy=0.575714
2016-09-23 07:41:06,020 Epoch[1] Batch [3550] Speed: 10.13 samples/sec Train-Accuracy=0.561429
2016-09-23 07:41:45,297 Epoch[1] Batch [3600] Speed: 10.18 samples/sec Train-Accuracy=0.541429
2016-09-23 07:42:24,131 Epoch[1] Batch [3650] Speed: 10.30 samples/sec Train-Accuracy=0.618571
2016-09-23 07:43:03,206 Epoch[1] Batch [3700] Speed: 10.24 samples/sec Train-Accuracy=0.527143
2016-09-23 07:43:42,114 Epoch[1] Batch [3750] Speed: 10.28 samples/sec Train-Accuracy=0.540000
2016-09-23 07:44:20,251 Epoch[1] Batch [3800] Speed: 10.49 samples/sec Train-Accuracy=0.545714
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
2016-09-23 09:08:30,402 Epoch[1] Batch [10550] Speed: 11.05 samples/sec Train-Accuracy=0.561429
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
2016-09-23 09:10:55,747 Epoch[1] Batch [10750] Speed: 10.95 samples/sec Train-Accuracy=0.572857
2016-09-23 09:11:32,714 Epoch[1] Batch [10800] Speed: 10.82 samples/sec Train-Accuracy=0.594286
2016-09-23 09:12:10,134 Epoch[1] Batch [10850] Speed: 10.69 samples/sec Train-Accuracy=0.558571
2016-09-23 09:12:48,508 Epoch[1] Batch [10900] Speed: 10.42 samples/sec Train-Accuracy=0.548571
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
2016-09-23 09:17:08,543 Epoch[1] Batch [11250] Speed: 10.78 samples/sec Train-Accuracy=0.607143
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
2016-09-23 09:19:36,745 Epoch[1] Batch [11450] Speed: 10.81 samples/sec Train-Accuracy=0.574286
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
2016-09-23 09:22:05,691 Epoch[1] Batch [11650] Speed: 10.64 samples/sec Train-Accuracy=0.607143
2016-09-23 09:22:43,181 Epoch[1] Batch [11700] Speed: 10.67 samples/sec Train-Accuracy=0.577143
2016-09-23 09:23:21,492 Epoch[1] Batch [11750] Speed: 10.44 samples/sec Train-Accuracy=0.568571
2016-09-23 09:23:59,863 Epoch[1] Batch [11800] Speed: 10.42 samples/sec Train-Accuracy=0.624286
2016-09-23 09:24:37,518 Epoch[1] Batch [11850] Speed: 10.62 samples/sec Train-Accuracy=0.595714
2016-09-23 09:25:14,647 Epoch[1] Batch [11900] Speed: 10.77 samples/sec Train-Accuracy=0.574286
2016-09-23 09:25:51,761 Epoch[1] Batch [11950] Speed: 10.78 samples/sec Train-Accuracy=0.581429
2016-09-23 09:26:30,517 Epoch[1] Batch [12000] Speed: 10.32 samples/sec Train-Accuracy=0.558571
2016-09-23 09:27:12,209 Epoch[1] Batch [12050] Speed: 9.59 samples/sec Train-Accuracy=0.562857
2016-09-23 09:27:48,560 Epoch[1] Batch [12100] Speed: 11.00 samples/sec Train-Accuracy=0.587143
2016-09-23 09:28:24,771 Epoch[1] Batch [12150] Speed: 11.05 samples/sec Train-Accuracy=0.570000
2016-09-23 09:29:01,082 Epoch[1] Batch [12200] Speed: 11.02 samples/sec Train-Accuracy=0.558571
2016-09-23 09:29:37,328 Epoch[1] Batch [12250] Speed: 11.04 samples/sec Train-Accuracy=0.591429
2016-09-23 09:30:13,518 Epoch[1] Batch [12300] Speed: 11.05 samples/sec Train-Accuracy=0.567143
2016-09-23 09:30:49,739 Epoch[1] Batch [12350] Speed: 11.04 samples/sec Train-Accuracy=0.577143
2016-09-23 09:31:25,831 Epoch[1] Batch [12400] Speed: 11.08 samples/sec Train-Accuracy=0.555714
2016-09-23 09:32:01,930 Epoch[1] Batch [12450] Speed: 11.08 samples/sec Train-Accuracy=0.588571
2016-09-23 09:32:37,982 Epoch[1] Batch [12500] Speed: 11.10 samples/sec Train-Accuracy=0.584286
2016-09-23 09:33:14,205 Epoch[1] Batch [12550] Speed: 11.04 samples/sec Train-Accuracy=0.564286
2016-09-23 09:33:50,468 Epoch[1] Batch [12600] Speed: 11.03 samples/sec Train-Accuracy=0.595714
2016-09-23 09:34:26,747 Epoch[1] Batch [12650] Speed: 11.03 samples/sec Train-Accuracy=0.587143
2016-09-23 09:35:02,964 Epoch[1] Batch [12700] Speed: 11.04 samples/sec Train-Accuracy=0.547143
2016-09-23 09:35:39,206 Epoch[1] Batch [12750] Speed: 11.04 samples/sec Train-Accuracy=0.602857
2016-09-23 09:36:15,419 Epoch[1] Batch [12800] Speed: 11.05 samples/sec Train-Accuracy=0.601429
2016-09-23 09:36:51,685 Epoch[1] Batch [12850] Speed: 11.03 samples/sec Train-Accuracy=0.541429
2016-09-23 09:37:27,989 Epoch[1] Batch [12900] Speed: 11.02 samples/sec Train-Accuracy=0.572857
2016-09-23 09:38:04,112 Epoch[1] Batch [12950] Speed: 11.07 samples/sec Train-Accuracy=0.604286
2016-09-23 09:38:40,655 Epoch[1] Batch [13000] Speed: 10.95 samples/sec Train-Accuracy=0.574286
2016-09-23 09:39:18,401 Epoch[1] Batch [13050] Speed: 10.60 samples/sec Train-Accuracy=0.598571
2016-09-23 09:39:56,206 Epoch[1] Batch [13100] Speed: 10.58 samples/sec Train-Accuracy=0.588571
2016-09-23 09:40:34,046 Epoch[1] Batch [13150] Speed: 10.57 samples/sec Train-Accuracy=0.568571
2016-09-23 09:41:11,512 Epoch[1] Batch [13200] Speed: 10.68 samples/sec Train-Accuracy=0.592857
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
2016-09-23 11:09:02,896 Epoch[1] Batch [20300] Speed: 10.37 samples/sec Train-Accuracy=0.592857
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
2016-09-23 11:16:42,345 Epoch[1] Batch [20900] Speed: 10.61 samples/sec Train-Accuracy=0.607143
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
2016-09-23 11:18:38,672 Epoch[1] Batch [21050] Speed: 9.66 samples/sec Train-Accuracy=0.592857
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
2016-09-23 11:30:43,690 Epoch[1] Batch [22050] Speed: 10.78 samples/sec Train-Accuracy=0.604286
2016-09-23 11:31:20,521 Epoch[1] Batch [22100] Speed: 10.86 samples/sec Train-Accuracy=0.602857
2016-09-23 11:31:59,347 Epoch[1] Batch [22150] Speed: 10.30 samples/sec Train-Accuracy=0.605714
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
2016-09-23 11:36:18,664 Epoch[1] Batch [22500] Speed: 10.98 samples/sec Train-Accuracy=0.611429
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
2016-09-23 15:22:59,271 Epoch[1] Batch [40850] Speed: 10.09 samples/sec Train-Accuracy=0.594286
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
2016-09-23 15:30:05,702 Epoch[1] Batch [41400] Speed: 9.62 samples/sec Train-Accuracy=0.624286
2016-09-23 15:30:42,729 Epoch[1] Batch [41450] Speed: 10.80 samples/sec Train-Accuracy=0.651429
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
2016-09-23 15:33:47,191 Epoch[1] Batch [41700] Speed: 10.64 samples/sec Train-Accuracy=0.647143
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
2016-09-23 16:46:36,175 Epoch[1] Batch [47550] Speed: 11.08 samples/sec Train-Accuracy=0.635714
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
2016-09-23 16:54:03,437 Epoch[1] Batch [48150] Speed: 10.41 samples/sec Train-Accuracy=0.674286
2016-09-23 16:54:42,184 Epoch[1] Batch [48200] Speed: 10.32 samples/sec Train-Accuracy=0.671429
2016-09-23 16:55:18,249 Epoch[1] Batch [48250] Speed: 11.09 samples/sec Train-Accuracy=0.671429
2016-09-23 16:55:54,330 Epoch[1] Batch [48300] Speed: 11.09 samples/sec Train-Accuracy=0.647143
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
2016-09-23 16:57:42,418 Epoch[1] Batch [48450] Speed: 11.10 samples/sec Train-Accuracy=0.651429
2016-09-23 16:58:18,471 Epoch[1] Batch [48500] Speed: 11.09 samples/sec Train-Accuracy=0.685714
2016-09-23 16:58:54,568 Epoch[1] Batch [48550] Speed: 11.08 samples/sec Train-Accuracy=0.632857
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
2016-09-23 17:02:35,762 Epoch[1] Batch [48850] Speed: 11.01 samples/sec Train-Accuracy=0.642857
2016-09-23 17:03:12,216 Epoch[1] Batch [48900] Speed: 10.97 samples/sec Train-Accuracy=0.631429
2016-09-23 17:03:48,794 Epoch[1] Batch [48950] Speed: 10.94 samples/sec Train-Accuracy=0.625714
2016-09-23 17:04:25,660 Epoch[1] Batch [49000] Speed: 10.85 samples/sec Train-Accuracy=0.637143
2016-09-23 17:05:02,977 Epoch[1] Batch [49050] Speed: 10.72 samples/sec Train-Accuracy=0.654286
2016-09-23 17:05:41,307 Epoch[1] Batch [49100] Speed: 10.44 samples/sec Train-Accuracy=0.661429
2016-09-23 17:06:19,694 Epoch[1] Batch [49150] Speed: 10.42 samples/sec Train-Accuracy=0.651429
2016-09-23 17:06:55,842 Epoch[1] Batch [49200] Speed: 11.07 samples/sec Train-Accuracy=0.665714
2016-09-23 17:07:32,000 Epoch[1] Batch [49250] Speed: 11.06 samples/sec Train-Accuracy=0.632857
2016-09-23 17:08:08,351 Epoch[1] Batch [49300] Speed: 11.00 samples/sec Train-Accuracy=0.670000
2016-09-23 17:08:44,760 Epoch[1] Batch [49350] Speed: 10.99 samples/sec Train-Accuracy=0.658571
2016-09-23 17:09:20,995 Epoch[1] Batch [49400] Speed: 11.04 samples/sec Train-Accuracy=0.664286
2016-09-23 17:09:57,667 Epoch[1] Batch [49450] Speed: 10.91 samples/sec Train-Accuracy=0.641429
2016-09-23 17:10:34,684 Epoch[1] Batch [49500] Speed: 10.81 samples/sec Train-Accuracy=0.635714
2016-09-23 17:11:10,844 Epoch[1] Batch [49550] Speed: 11.06 samples/sec Train-Accuracy=0.642857
2016-09-23 17:11:46,908 Epoch[1] Batch [49600] Speed: 11.09 samples/sec Train-Accuracy=0.682857
2016-09-23 17:12:23,012 Epoch[1] Batch [49650] Speed: 11.08 samples/sec Train-Accuracy=0.662857
2016-09-23 17:12:59,160 Epoch[1] Batch [49700] Speed: 11.07 samples/sec Train-Accuracy=0.645714
2016-09-23 17:13:35,227 Epoch[1] Batch [49750] Speed: 11.09 samples/sec Train-Accuracy=0.675714
2016-09-23 17:14:11,378 Epoch[1] Batch [49800] Speed: 11.06 samples/sec Train-Accuracy=0.650000
2016-09-23 17:14:48,600 Epoch[1] Batch [49850] Speed: 10.75 samples/sec Train-Accuracy=0.672857
2016-09-23 17:15:24,817 Epoch[1] Batch [49900] Speed: 11.04 samples/sec Train-Accuracy=0.675714
2016-09-23 17:16:00,920 Epoch[1] Batch [49950] Speed: 11.08 samples/sec Train-Accuracy=0.644286
2016-09-23 17:16:37,050 Epoch[1] Batch [50000] Speed: 11.07 samples/sec Train-Accuracy=0.662857
2016-09-23 17:17:15,936 Epoch[1] Batch [50050] Speed: 10.29 samples/sec Train-Accuracy=0.632857
2016-09-23 17:17:54,547 Epoch[1] Batch [50100] Speed: 10.36 samples/sec Train-Accuracy=0.634286
2016-09-23 17:18:32,604 Epoch[1] Batch [50150] Speed: 10.51 samples/sec Train-Accuracy=0.662857
2016-09-23 17:19:10,747 Epoch[1] Batch [50200] Speed: 10.49 samples/sec Train-Accuracy=0.688571
2016-09-23 17:19:49,419 Epoch[1] Batch [50250] Speed: 10.34 samples/sec Train-Accuracy=0.630000
2016-09-23 17:20:27,707 Epoch[1] Batch [50300] Speed: 10.45 samples/sec Train-Accuracy=0.638571
2016-09-23 17:21:05,933 Epoch[1] Batch [50350] Speed: 10.46 samples/sec Train-Accuracy=0.642857
2016-09-23 17:21:42,908 Epoch[1] Batch [50400] Speed: 10.82 samples/sec Train-Accuracy=0.645714
2016-09-23 17:22:19,226 Epoch[1] Batch [50450] Speed: 11.01 samples/sec Train-Accuracy=0.660000
2016-09-23 17:22:55,605 Epoch[1] Batch [50500] Speed: 11.00 samples/sec Train-Accuracy=0.650000
2016-09-23 17:23:32,715 Epoch[1] Batch [50550] Speed: 10.78 samples/sec Train-Accuracy=0.668571
2016-09-23 17:24:09,615 Epoch[1] Batch [50600] Speed: 10.84 samples/sec Train-Accuracy=0.650000
2016-09-23 17:24:46,074 Epoch[1] Batch [50650] Speed: 10.97 samples/sec Train-Accuracy=0.651429
2016-09-23 17:25:22,276 Epoch[1] Batch [50700] Speed: 11.05 samples/sec Train-Accuracy=0.675714
2016-09-23 17:25:58,482 Epoch[1] Batch [50750] Speed: 11.05 samples/sec Train-Accuracy=0.650000
2016-09-23 17:26:34,636 Epoch[1] Batch [50800] Speed: 11.06 samples/sec Train-Accuracy=0.640000
2016-09-23 17:27:10,801 Epoch[1] Batch [50850] Speed: 11.06 samples/sec Train-Accuracy=0.648571
2016-09-23 17:27:47,069 Epoch[1] Batch [50900] Speed: 11.03 samples/sec Train-Accuracy=0.644286
2016-09-23 17:28:23,401 Epoch[1] Batch [50950] Speed: 11.01 samples/sec Train-Accuracy=0.661429
2016-09-23 17:28:59,590 Epoch[1] Batch [51000] Speed: 11.05 samples/sec Train-Accuracy=0.662857
2016-09-23 17:29:35,878 Epoch[1] Batch [51050] Speed: 11.02 samples/sec Train-Accuracy=0.622857
2016-09-23 17:30:12,101 Epoch[1] Batch [51100] Speed: 11.04 samples/sec Train-Accuracy=0.648571
2016-09-23 17:30:48,309 Epoch[1] Batch [51150] Speed: 11.05 samples/sec Train-Accuracy=0.674286
2016-09-23 17:31:24,529 Epoch[1] Batch [51200] Speed: 11.04 samples/sec Train-Accuracy=0.612857
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
2016-09-23 18:49:22,888 Epoch[1] Batch [57550] Speed: 10.68 samples/sec Train-Accuracy=0.635714
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
2016-09-23 19:05:11,228 Epoch[1] Batch [58850] Speed: 10.36 samples/sec Train-Accuracy=0.660000
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
2016-09-23 19:07:05,492 Epoch[1] Batch [59000] Speed: 10.48 samples/sec Train-Accuracy=0.667143
2016-09-23 19:07:44,418 Epoch[1] Batch [59050] Speed: 10.28 samples/sec Train-Accuracy=0.645714
2016-09-23 19:08:21,381 Epoch[1] Batch [59100] Speed: 10.82 samples/sec Train-Accuracy=0.654286
2016-09-23 19:08:58,469 Epoch[1] Batch [59150] Speed: 10.79 samples/sec Train-Accuracy=0.661429
2016-09-23 19:09:35,720 Epoch[1] Batch [59200] Speed: 10.74 samples/sec Train-Accuracy=0.652857
2016-09-23 19:10:12,866 Epoch[1] Batch [59250] Speed: 10.77 samples/sec Train-Accuracy=0.658571
2016-09-23 19:10:50,116 Epoch[1] Batch [59300] Speed: 10.74 samples/sec Train-Accuracy=0.615714
2016-09-23 19:11:27,373 Epoch[1] Batch [59350] Speed: 10.74 samples/sec Train-Accuracy=0.685714
2016-09-23 19:12:04,205 Epoch[1] Batch [59400] Speed: 10.86 samples/sec Train-Accuracy=0.662857
2016-09-23 19:12:41,026 Epoch[1] Batch [59450] Speed: 10.86 samples/sec Train-Accuracy=0.664286
2016-09-23 19:13:17,212 Epoch[1] Batch [59500] Speed: 11.05 samples/sec Train-Accuracy=0.687143
2016-09-23 19:13:53,374 Epoch[1] Batch [59550] Speed: 11.06 samples/sec Train-Accuracy=0.652857
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
2016-09-23 19:15:42,798 Epoch[1] Batch [59700] Speed: 11.01 samples/sec Train-Accuracy=0.664286
2016-09-23 19:16:19,174 Epoch[1] Batch [59750] Speed: 11.00 samples/sec Train-Accuracy=0.667143
2016-09-23 19:16:57,185 Epoch[1] Batch [59800] Speed: 10.52 samples/sec Train-Accuracy=0.647143
2016-09-23 19:17:34,141 Epoch[1] Batch [59850] Speed: 10.82 samples/sec Train-Accuracy=0.670000
2016-09-23 19:18:11,169 Epoch[1] Batch [59900] Speed: 10.80 samples/sec Train-Accuracy=0.625714
2016-09-23 19:18:48,364 Epoch[1] Batch [59950] Speed: 10.75 samples/sec Train-Accuracy=0.647143
2016-09-23 19:19:25,008 Epoch[1] Batch [60000] Speed: 10.92 samples/sec Train-Accuracy=0.690000
2016-09-23 19:20:01,689 Epoch[1] Batch [60050] Speed: 10.91 samples/sec Train-Accuracy=0.672857
2016-09-23 19:20:38,384 Epoch[1] Batch [60100] Speed: 10.90 samples/sec Train-Accuracy=0.685714
2016-09-23 19:21:15,019 Epoch[1] Batch [60150] Speed: 10.92 samples/sec Train-Accuracy=0.650000
2016-09-23 19:21:51,601 Epoch[1] Batch [60200] Speed: 10.93 samples/sec Train-Accuracy=0.667143
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
2016-09-23 19:26:48,870 Epoch[1] Batch [60600] Speed: 10.92 samples/sec Train-Accuracy=0.651429
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
2016-09-23 19:29:17,587 Epoch[1] Batch [60800] Speed: 10.66 samples/sec Train-Accuracy=0.667143
2016-09-23 19:29:54,195 Epoch[1] Batch [60850] Speed: 10.93 samples/sec Train-Accuracy=0.655714
2016-09-23 19:30:31,471 Epoch[1] Batch [60900] Speed: 10.73 samples/sec Train-Accuracy=0.665714
2016-09-23 19:31:08,807 Epoch[1] Batch [60950] Speed: 10.71 samples/sec Train-Accuracy=0.655714
2016-09-23 19:31:45,319 Epoch[1] Batch [61000] Speed: 10.96 samples/sec Train-Accuracy=0.660000
2016-09-23 19:32:21,638 Epoch[1] Batch [61050] Speed: 11.01 samples/sec Train-Accuracy=0.654286
2016-09-23 19:32:58,505 Epoch[1] Batch [61100] Speed: 10.85 samples/sec Train-Accuracy=0.668571
2016-09-23 19:33:35,380 Epoch[1] Batch [61150] Speed: 10.85 samples/sec Train-Accuracy=0.640000
2016-09-23 19:34:12,160 Epoch[1] Batch [61200] Speed: 10.88 samples/sec Train-Accuracy=0.688571
2016-09-23 19:34:48,728 Epoch[1] Batch [61250] Speed: 10.94 samples/sec Train-Accuracy=0.632857
2016-09-23 19:35:25,241 Epoch[1] Batch [61300] Speed: 10.96 samples/sec Train-Accuracy=0.664286
2016-09-23 19:36:01,699 Epoch[1] Batch [61350] Speed: 10.97 samples/sec Train-Accuracy=0.660000
2016-09-23 19:36:38,101 Epoch[1] Batch [61400] Speed: 10.99 samples/sec Train-Accuracy=0.660000
2016-09-23 19:37:14,430 Epoch[1] Batch [61450] Speed: 11.01 samples/sec Train-Accuracy=0.680000
2016-09-23 19:37:50,945 Epoch[1] Batch [61500] Speed: 10.95 samples/sec Train-Accuracy=0.675714
2016-09-23 19:38:27,572 Epoch[1] Batch [61550] Speed: 10.92 samples/sec Train-Accuracy=0.671429
2016-09-23 19:39:05,628 Epoch[1] Batch [61600] Speed: 10.51 samples/sec Train-Accuracy=0.651429
2016-09-23 19:39:43,109 Epoch[1] Batch [61650] Speed: 10.67 samples/sec Train-Accuracy=0.634286
2016-09-23 19:40:19,936 Epoch[1] Batch [61700] Speed: 10.86 samples/sec Train-Accuracy=0.677143
2016-09-23 19:40:56,720 Epoch[1] Batch [61750] Speed: 10.87 samples/sec Train-Accuracy=0.660000
2016-09-23 19:41:33,463 Epoch[1] Batch [61800] Speed: 10.89 samples/sec Train-Accuracy=0.674286
2016-09-23 19:42:10,218 Epoch[1] Batch [61850] Speed: 10.88 samples/sec Train-Accuracy=0.711429
2016-09-23 19:42:47,686 Epoch[1] Batch [61900] Speed: 10.68 samples/sec Train-Accuracy=0.672857
2016-09-23 19:43:26,113 Epoch[1] Batch [61950] Speed: 10.41 samples/sec Train-Accuracy=0.660000
2016-09-23 19:44:03,770 Epoch[1] Batch [62000] Speed: 10.62 samples/sec Train-Accuracy=0.650000
2016-09-23 19:44:41,210 Epoch[1] Batch [62050] Speed: 10.68 samples/sec Train-Accuracy=0.714286
2016-09-23 19:45:18,629 Epoch[1] Batch [62100] Speed: 10.69 samples/sec Train-Accuracy=0.658571
2016-09-23 19:45:55,741 Epoch[1] Batch [62150] Speed: 10.78 samples/sec Train-Accuracy=0.671429
2016-09-23 19:46:32,595 Epoch[1] Batch [62200] Speed: 10.85 samples/sec Train-Accuracy=0.670000
2016-09-23 19:47:09,463 Epoch[1] Batch [62250] Speed: 10.85 samples/sec Train-Accuracy=0.695714
2016-09-23 19:47:46,288 Epoch[1] Batch [62300] Speed: 10.86 samples/sec Train-Accuracy=0.674286
2016-09-23 19:48:23,208 Epoch[1] Batch [62350] Speed: 10.83 samples/sec Train-Accuracy=0.654286
2016-09-23 19:49:00,632 Epoch[1] Batch [62400] Speed: 10.69 samples/sec Train-Accuracy=0.634286
2016-09-23 19:49:37,640 Epoch[1] Batch [62450] Speed: 10.81 samples/sec Train-Accuracy=0.668571
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
2016-09-23 19:52:21,340 Epoch[2] Batch [100] Speed: 10.74 samples/sec Train-Accuracy=0.665714
2016-09-23 19:52:57,851 Epoch[2] Batch [150] Speed: 10.96 samples/sec Train-Accuracy=0.681429
2016-09-23 19:53:34,355 Epoch[2] Batch [200] Speed: 10.96 samples/sec Train-Accuracy=0.622857
2016-09-23 19:54:10,843 Epoch[2] Batch [250] Speed: 10.96 samples/sec Train-Accuracy=0.687143
2016-09-23 19:54:48,745 Epoch[2] Batch [300] Speed: 10.55 samples/sec Train-Accuracy=0.662857
2016-09-23 19:55:25,925 Epoch[2] Batch [350] Speed: 10.76 samples/sec Train-Accuracy=0.648571
2016-09-23 19:56:02,956 Epoch[2] Batch [400] Speed: 10.80 samples/sec Train-Accuracy=0.672857
2016-09-23 19:56:40,073 Epoch[2] Batch [450] Speed: 10.78 samples/sec Train-Accuracy=0.658571
2016-09-23 19:57:17,530 Epoch[2] Batch [500] Speed: 10.68 samples/sec Train-Accuracy=0.672857
2016-09-23 19:57:55,168 Epoch[2] Batch [550] Speed: 10.63 samples/sec Train-Accuracy=0.688571
2016-09-23 19:58:31,980 Epoch[2] Batch [600] Speed: 10.87 samples/sec Train-Accuracy=0.687143
2016-09-23 19:59:08,858 Epoch[2] Batch [650] Speed: 10.85 samples/sec Train-Accuracy=0.664286
2016-09-23 19:59:45,603 Epoch[2] Batch [700] Speed: 10.89 samples/sec Train-Accuracy=0.674286
2016-09-23 20:00:22,341 Epoch[2] Batch [750] Speed: 10.89 samples/sec Train-Accuracy=0.620000
2016-09-23 20:00:59,043 Epoch[2] Batch [800] Speed: 10.90 samples/sec Train-Accuracy=0.661429
2016-09-23 20:01:35,798 Epoch[2] Batch [850] Speed: 10.88 samples/sec Train-Accuracy=0.671429
2016-09-23 20:02:12,553 Epoch[2] Batch [900] Speed: 10.88 samples/sec Train-Accuracy=0.661429
2016-09-23 20:02:49,549 Epoch[2] Batch [950] Speed: 10.81 samples/sec Train-Accuracy=0.647143
2016-09-23 20:03:26,326 Epoch[2] Batch [1000] Speed: 10.88 samples/sec Train-Accuracy=0.694286
2016-09-23 20:04:03,007 Epoch[2] Batch [1050] Speed: 10.90 samples/sec Train-Accuracy=0.682857
2016-09-23 20:04:39,699 Epoch[2] Batch [1100] Speed: 10.90 samples/sec Train-Accuracy=0.691429
2016-09-23 20:05:16,258 Epoch[2] Batch [1150] Speed: 10.94 samples/sec Train-Accuracy=0.691429
2016-09-23 20:05:52,817 Epoch[2] Batch [1200] Speed: 10.94 samples/sec Train-Accuracy=0.680000
2016-09-23 20:06:29,322 Epoch[2] Batch [1250] Speed: 10.96 samples/sec Train-Accuracy=0.664286
2016-09-23 20:07:05,887 Epoch[2] Batch [1300] Speed: 10.94 samples/sec Train-Accuracy=0.680000
2016-09-23 20:07:42,514 Epoch[2] Batch [1350] Speed: 10.92 samples/sec Train-Accuracy=0.667143
2016-09-23 20:08:19,016 Epoch[2] Batch [1400] Speed: 10.96 samples/sec Train-Accuracy=0.677143
2016-09-23 20:08:55,805 Epoch[2] Batch [1450] Speed: 10.87 samples/sec Train-Accuracy=0.680000
2016-09-23 20:09:33,659 Epoch[2] Batch [1500] Speed: 10.57 samples/sec Train-Accuracy=0.654286
2016-09-23 20:10:11,292 Epoch[2] Batch [1550] Speed: 10.63 samples/sec Train-Accuracy=0.675714
2016-09-23 20:10:48,973 Epoch[2] Batch [1600] Speed: 10.62 samples/sec Train-Accuracy=0.672857
2016-09-23 20:11:26,311 Epoch[2] Batch [1650] Speed: 10.71 samples/sec Train-Accuracy=0.690000
2016-09-23 20:12:03,224 Epoch[2] Batch [1700] Speed: 10.84 samples/sec Train-Accuracy=0.661429
2016-09-23 20:12:39,875 Epoch[2] Batch [1750] Speed: 10.91 samples/sec Train-Accuracy=0.667143
2016-09-23 20:13:16,490 Epoch[2] Batch [1800] Speed: 10.92 samples/sec Train-Accuracy=0.708571
2016-09-23 20:13:56,004 Epoch[2] Batch [1850] Speed: 10.12 samples/sec Train-Accuracy=0.652857
2016-09-23 20:14:34,180 Epoch[2] Batch [1900] Speed: 10.48 samples/sec Train-Accuracy=0.668571
2016-09-23 20:15:12,789 Epoch[2] Batch [1950] Speed: 10.36 samples/sec Train-Accuracy=0.664286
2016-09-23 20:15:49,173 Epoch[2] Batch [2000] Speed: 10.99 samples/sec Train-Accuracy=0.664286
2016-09-23 20:16:25,641 Epoch[2] Batch [2050] Speed: 10.97 samples/sec Train-Accuracy=0.647143
2016-09-23 20:17:02,054 Epoch[2] Batch [2100] Speed: 10.98 samples/sec Train-Accuracy=0.687143
2016-09-23 20:17:38,262 Epoch[2] Batch [2150] Speed: 11.05 samples/sec Train-Accuracy=0.668571
2016-09-23 20:18:14,423 Epoch[2] Batch [2200] Speed: 11.06 samples/sec Train-Accuracy=0.664286
2016-09-23 20:18:50,604 Epoch[2] Batch [2250] Speed: 11.06 samples/sec Train-Accuracy=0.651429
2016-09-23 20:19:26,864 Epoch[2] Batch [2300] Speed: 11.03 samples/sec Train-Accuracy=0.645714
2016-09-23 20:20:03,115 Epoch[2] Batch [2350] Speed: 11.03 samples/sec Train-Accuracy=0.667143
2016-09-23 20:20:39,353 Epoch[2] Batch [2400] Speed: 11.04 samples/sec Train-Accuracy=0.667143
2016-09-23 20:21:15,634 Epoch[2] Batch [2450] Speed: 11.03 samples/sec Train-Accuracy=0.677143
2016-09-23 20:21:51,999 Epoch[2] Batch [2500] Speed: 11.00 samples/sec Train-Accuracy=0.660000
2016-09-23 20:22:28,523 Epoch[2] Batch [2550] Speed: 10.95 samples/sec Train-Accuracy=0.695714
2016-09-23 20:23:04,867 Epoch[2] Batch [2600] Speed: 11.01 samples/sec Train-Accuracy=0.678571
2016-09-23 20:23:41,281 Epoch[2] Batch [2650] Speed: 10.99 samples/sec Train-Accuracy=0.685714
2016-09-23 20:24:17,636 Epoch[2] Batch [2700] Speed: 11.00 samples/sec Train-Accuracy=0.687143
2016-09-23 20:24:54,986 Epoch[2] Batch [2750] Speed: 10.71 samples/sec Train-Accuracy=0.682857
2016-09-23 20:25:33,421 Epoch[2] Batch [2800] Speed: 10.41 samples/sec Train-Accuracy=0.672857
2016-09-23 20:26:12,093 Epoch[2] Batch [2850] Speed: 10.34 samples/sec Train-Accuracy=0.671429
2016-09-23 20:26:50,427 Epoch[2] Batch [2900] Speed: 10.43 samples/sec Train-Accuracy=0.708571
2016-09-23 20:27:27,471 Epoch[2] Batch [2950] Speed: 10.80 samples/sec Train-Accuracy=0.677143
2016-09-23 20:28:04,118 Epoch[2] Batch [3000] Speed: 10.91 samples/sec Train-Accuracy=0.667143
2016-09-23 20:28:41,597 Epoch[2] Batch [3050] Speed: 10.67 samples/sec Train-Accuracy=0.670000
2016-09-23 20:29:18,830 Epoch[2] Batch [3100] Speed: 10.74 samples/sec Train-Accuracy=0.682857
2016-09-23 20:29:55,792 Epoch[2] Batch [3150] Speed: 10.82 samples/sec Train-Accuracy=0.702857
2016-09-23 20:30:32,078 Epoch[2] Batch [3200] Speed: 11.02 samples/sec Train-Accuracy=0.658571
2016-09-23 20:31:08,279 Epoch[2] Batch [3250] Speed: 11.05 samples/sec Train-Accuracy=0.647143
2016-09-23 20:31:44,619 Epoch[2] Batch [3300] Speed: 11.01 samples/sec Train-Accuracy=0.640000
2016-09-23 20:32:20,908 Epoch[2] Batch [3350] Speed: 11.02 samples/sec Train-Accuracy=0.657143
2016-09-23 20:32:57,085 Epoch[2] Batch [3400] Speed: 11.06 samples/sec Train-Accuracy=0.641429
2016-09-23 20:33:33,411 Epoch[2] Batch [3450] Speed: 11.01 samples/sec Train-Accuracy=0.647143
2016-09-23 20:34:09,785 Epoch[2] Batch [3500] Speed: 11.00 samples/sec Train-Accuracy=0.651429
2016-09-23 20:34:46,183 Epoch[2] Batch [3550] Speed: 10.99 samples/sec Train-Accuracy=0.632857
2016-09-23 20:35:22,467 Epoch[2] Batch [3600] Speed: 11.02 samples/sec Train-Accuracy=0.691429
2016-09-23 20:35:58,730 Epoch[2] Batch [3650] Speed: 11.03 samples/sec Train-Accuracy=0.678571
2016-09-23 20:36:35,010 Epoch[2] Batch [3700] Speed: 11.03 samples/sec Train-Accuracy=0.712857
2016-09-23 20:37:11,193 Epoch[2] Batch [3750] Speed: 11.06 samples/sec Train-Accuracy=0.691429
2016-09-23 20:37:47,329 Epoch[2] Batch [3800] Speed: 11.07 samples/sec Train-Accuracy=0.674286
2016-09-23 20:38:23,437 Epoch[2] Batch [3850] Speed: 11.08 samples/sec Train-Accuracy=0.695714
2016-09-23 20:38:59,696 Epoch[2] Batch [3900] Speed: 11.03 samples/sec Train-Accuracy=0.702857
2016-09-23 20:39:35,851 Epoch[2] Batch [3950] Speed: 11.06 samples/sec Train-Accuracy=0.691429
2016-09-23 20:40:12,124 Epoch[2] Batch [4000] Speed: 11.03 samples/sec Train-Accuracy=0.680000
2016-09-23 20:40:53,530 Epoch[2] Batch [4050] Speed: 9.66 samples/sec Train-Accuracy=0.685714
2016-09-23 20:41:34,080 Epoch[2] Batch [4100] Speed: 9.86 samples/sec Train-Accuracy=0.667143
2016-09-23 20:42:12,924 Epoch[2] Batch [4150] Speed: 10.30 samples/sec Train-Accuracy=0.672857
2016-09-23 20:42:52,222 Epoch[2] Batch [4200] Speed: 10.18 samples/sec Train-Accuracy=0.654286
2016-09-23 20:43:30,659 Epoch[2] Batch [4250] Speed: 10.41 samples/sec Train-Accuracy=0.684286
2016-09-23 20:44:09,476 Epoch[2] Batch [4300] Speed: 10.30 samples/sec Train-Accuracy=0.698571
2016-09-23 20:44:45,863 Epoch[2] Batch [4350] Speed: 10.99 samples/sec Train-Accuracy=0.672857
2016-09-23 20:45:22,673 Epoch[2] Batch [4400] Speed: 10.87 samples/sec Train-Accuracy=0.661429
2016-09-23 20:46:03,874 Epoch[2] Batch [4450] Speed: 9.71 samples/sec Train-Accuracy=0.674286
2016-09-23 20:46:43,331 Epoch[2] Batch [4500] Speed: 10.14 samples/sec Train-Accuracy=0.661429
2016-09-23 20:47:22,828 Epoch[2] Batch [4550] Speed: 10.13 samples/sec Train-Accuracy=0.660000
2016-09-23 20:48:02,658 Epoch[2] Batch [4600] Speed: 10.04 samples/sec Train-Accuracy=0.651429
2016-09-23 20:48:41,430 Epoch[2] Batch [4650] Speed: 10.32 samples/sec Train-Accuracy=0.667143
2016-09-23 20:49:20,510 Epoch[2] Batch [4700] Speed: 10.24 samples/sec Train-Accuracy=0.705714
2016-09-23 20:49:57,608 Epoch[2] Batch [4750] Speed: 10.78 samples/sec Train-Accuracy=0.671429
2016-09-23 20:50:34,712 Epoch[2] Batch [4800] Speed: 10.78 samples/sec Train-Accuracy=0.661429
2016-09-23 20:51:11,832 Epoch[2] Batch [4850] Speed: 10.78 samples/sec Train-Accuracy=0.664286
2016-09-23 20:51:49,309 Epoch[2] Batch [4900] Speed: 10.67 samples/sec Train-Accuracy=0.658571
2016-09-23 20:52:26,950 Epoch[2] Batch [4950] Speed: 10.63 samples/sec Train-Accuracy=0.638571
2016-09-23 20:53:04,287 Epoch[2] Batch [5000] Speed: 10.71 samples/sec Train-Accuracy=0.694286
2016-09-23 20:53:41,606 Epoch[2] Batch [5050] Speed: 10.72 samples/sec Train-Accuracy=0.667143
2016-09-23 20:54:18,919 Epoch[2] Batch [5100] Speed: 10.72 samples/sec Train-Accuracy=0.685714
2016-09-23 20:54:56,110 Epoch[2] Batch [5150] Speed: 10.76 samples/sec Train-Accuracy=0.638571
2016-09-23 20:55:35,816 Epoch[2] Batch [5200] Speed: 10.07 samples/sec Train-Accuracy=0.645714
2016-09-23 20:56:16,488 Epoch[2] Batch [5250] Speed: 9.83 samples/sec Train-Accuracy=0.612857
2016-09-23 20:56:53,703 Epoch[2] Batch [5300] Speed: 10.75 samples/sec Train-Accuracy=0.625714
2016-09-23 20:57:29,920 Epoch[2] Batch [5350] Speed: 11.04 samples/sec Train-Accuracy=0.642857
2016-09-23 20:58:06,151 Epoch[2] Batch [5400] Speed: 11.04 samples/sec Train-Accuracy=0.672857
2016-09-23 20:58:42,276 Epoch[2] Batch [5450] Speed: 11.07 samples/sec Train-Accuracy=0.671429
2016-09-23 20:59:19,115 Epoch[2] Batch [5500] Speed: 10.86 samples/sec Train-Accuracy=0.698571
2016-09-23 20:59:55,506 Epoch[2] Batch [5550] Speed: 10.99 samples/sec Train-Accuracy=0.692857
2016-09-23 21:00:31,640 Epoch[2] Batch [5600] Speed: 11.07 samples/sec Train-Accuracy=0.680000
2016-09-23 21:01:07,803 Epoch[2] Batch [5650] Speed: 11.06 samples/sec Train-Accuracy=0.701429
2016-09-23 21:01:43,920 Epoch[2] Batch [5700] Speed: 11.08 samples/sec Train-Accuracy=0.692857
2016-09-23 21:02:19,982 Epoch[2] Batch [5750] Speed: 11.09 samples/sec Train-Accuracy=0.688571
2016-09-23 21:02:56,140 Epoch[2] Batch [5800] Speed: 11.06 samples/sec Train-Accuracy=0.644286
2016-09-23 21:03:32,368 Epoch[2] Batch [5850] Speed: 11.04 samples/sec Train-Accuracy=0.677143
2016-09-23 21:04:09,603 Epoch[2] Batch [5900] Speed: 10.74 samples/sec Train-Accuracy=0.711429
2016-09-23 21:04:46,881 Epoch[2] Batch [5950] Speed: 10.73 samples/sec Train-Accuracy=0.674286
2016-09-23 21:05:24,254 Epoch[2] Batch [6000] Speed: 10.70 samples/sec Train-Accuracy=0.664286
2016-09-23 21:06:01,553 Epoch[2] Batch [6050] Speed: 10.72 samples/sec Train-Accuracy=0.695714
2016-09-23 21:06:38,808 Epoch[2] Batch [6100] Speed: 10.74 samples/sec Train-Accuracy=0.697143
2016-09-23 21:07:15,918 Epoch[2] Batch [6150] Speed: 10.78 samples/sec Train-Accuracy=0.667143
2016-09-23 21:07:53,175 Epoch[2] Batch [6200] Speed: 10.74 samples/sec Train-Accuracy=0.675714
2016-09-23 21:08:30,069 Epoch[2] Batch [6250] Speed: 10.84 samples/sec Train-Accuracy=0.667143
2016-09-23 21:09:07,740 Epoch[2] Batch [6300] Speed: 10.62 samples/sec Train-Accuracy=0.664286
2016-09-23 21:09:45,167 Epoch[2] Batch [6350] Speed: 10.69 samples/sec Train-Accuracy=0.690000
2016-09-23 21:10:22,345 Epoch[2] Batch [6400] Speed: 10.76 samples/sec Train-Accuracy=0.672857
2016-09-23 21:10:59,679 Epoch[2] Batch [6450] Speed: 10.71 samples/sec Train-Accuracy=0.684286
2016-09-23 21:11:37,091 Epoch[2] Batch [6500] Speed: 10.69 samples/sec Train-Accuracy=0.701429
2016-09-23 21:12:14,682 Epoch[2] Batch [6550] Speed: 10.64 samples/sec Train-Accuracy=0.671429
2016-09-23 21:12:51,946 Epoch[2] Batch [6600] Speed: 10.73 samples/sec Train-Accuracy=0.652857
2016-09-23 21:13:29,267 Epoch[2] Batch [6650] Speed: 10.72 samples/sec Train-Accuracy=0.700000
2016-09-23 21:14:06,703 Epoch[2] Batch [6700] Speed: 10.68 samples/sec Train-Accuracy=0.705714
2016-09-23 21:14:43,210 Epoch[2] Batch [6750] Speed: 10.96 samples/sec Train-Accuracy=0.670000
2016-09-23 21:15:19,438 Epoch[2] Batch [6800] Speed: 11.04 samples/sec Train-Accuracy=0.672857
2016-09-23 21:15:55,614 Epoch[2] Batch [6850] Speed: 11.06 samples/sec Train-Accuracy=0.637143
2016-09-23 21:16:31,829 Epoch[2] Batch [6900] Speed: 11.05 samples/sec Train-Accuracy=0.670000
2016-09-23 21:17:08,179 Epoch[2] Batch [6950] Speed: 11.00 samples/sec Train-Accuracy=0.675714
2016-09-23 21:17:44,607 Epoch[2] Batch [7000] Speed: 10.98 samples/sec Train-Accuracy=0.657143
2016-09-23 21:18:21,371 Epoch[2] Batch [7050] Speed: 10.88 samples/sec Train-Accuracy=0.685714
2016-09-23 21:18:57,648 Epoch[2] Batch [7100] Speed: 11.03 samples/sec Train-Accuracy=0.667143
2016-09-23 21:19:38,289 Epoch[2] Batch [7150] Speed: 9.84 samples/sec Train-Accuracy=0.657143
2016-09-23 21:20:18,850 Epoch[2] Batch [7200] Speed: 9.86 samples/sec Train-Accuracy=0.694286
2016-09-23 21:20:56,570 Epoch[2] Batch [7250] Speed: 10.60 samples/sec Train-Accuracy=0.670000
2016-09-23 21:21:32,820 Epoch[2] Batch [7300] Speed: 11.03 samples/sec Train-Accuracy=0.671429
2016-09-23 21:22:08,851 Epoch[2] Batch [7350] Speed: 11.10 samples/sec Train-Accuracy=0.685714
2016-09-23 21:22:45,164 Epoch[2] Batch [7400] Speed: 11.02 samples/sec Train-Accuracy=0.652857
2016-09-23 21:23:22,456 Epoch[2] Batch [7450] Speed: 10.73 samples/sec Train-Accuracy=0.671429
2016-09-23 21:23:59,941 Epoch[2] Batch [7500] Speed: 10.67 samples/sec Train-Accuracy=0.664286
2016-09-23 21:24:36,560 Epoch[2] Batch [7550] Speed: 10.92 samples/sec Train-Accuracy=0.688571
2016-09-23 21:25:12,558 Epoch[2] Batch [7600] Speed: 11.11 samples/sec Train-Accuracy=0.680000
2016-09-23 21:25:50,669 Epoch[2] Batch [7650] Speed: 10.50 samples/sec Train-Accuracy=0.661429
2016-09-23 21:26:28,095 Epoch[2] Batch [7700] Speed: 10.69 samples/sec Train-Accuracy=0.687143
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
2016-09-23 23:07:59,318 Epoch[2] Batch [15800] Speed: 10.34 samples/sec Train-Accuracy=0.711429
2016-09-23 23:08:36,998 Epoch[2] Batch [15850] Speed: 10.62 samples/sec Train-Accuracy=0.690000
2016-09-23 23:09:14,721 Epoch[2] Batch [15900] Speed: 10.60 samples/sec Train-Accuracy=0.695714
2016-09-23 23:09:52,494 Epoch[2] Batch [15950] Speed: 10.59 samples/sec Train-Accuracy=0.674286
2016-09-23 23:10:30,602 Epoch[2] Batch [16000] Speed: 10.50 samples/sec Train-Accuracy=0.667143
2016-09-23 23:11:09,626 Epoch[2] Batch [16050] Speed: 10.25 samples/sec Train-Accuracy=0.665714
2016-09-23 23:11:48,451 Epoch[2] Batch [16100] Speed: 10.30 samples/sec Train-Accuracy=0.670000
2016-09-23 23:12:26,824 Epoch[2] Batch [16150] Speed: 10.42 samples/sec Train-Accuracy=0.672857
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
2016-09-23 23:14:59,835 Epoch[2] Batch [16350] Speed: 10.16 samples/sec Train-Accuracy=0.694286
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
2016-09-23 23:17:00,148 Epoch[2] Batch [16500] Speed: 10.24 samples/sec Train-Accuracy=0.675714
2016-09-23 23:17:38,958 Epoch[2] Batch [16550] Speed: 10.31 samples/sec Train-Accuracy=0.692857
2016-09-23 23:18:18,133 Epoch[2] Batch [16600] Speed: 10.21 samples/sec Train-Accuracy=0.681429
2016-09-23 23:18:56,569 Epoch[2] Batch [16650] Speed: 10.41 samples/sec Train-Accuracy=0.690000
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
2016-09-23 23:22:43,252 Epoch[2] Batch [16950] Speed: 10.94 samples/sec Train-Accuracy=0.710000
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
2016-09-24 01:15:13,254 Epoch[2] Batch [26050] Speed: 10.62 samples/sec Train-Accuracy=0.725714
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
2016-09-24 08:45:42,666 Epoch[2] Batch [61750] Speed: 10.79 samples/sec Train-Accuracy=0.741429
2016-09-24 08:46:19,755 Epoch[2] Batch [61800] Speed: 10.78 samples/sec Train-Accuracy=0.748571
2016-09-24 08:46:56,861 Epoch[2] Batch [61850] Speed: 10.78 samples/sec Train-Accuracy=0.705714
2016-09-24 08:47:33,967 Epoch[2] Batch [61900] Speed: 10.78 samples/sec Train-Accuracy=0.744286
2016-09-24 08:48:11,121 Epoch[2] Batch [61950] Speed: 10.77 samples/sec Train-Accuracy=0.750000
2016-09-24 08:48:48,198 Epoch[2] Batch [62000] Speed: 10.79 samples/sec Train-Accuracy=0.705714
2016-09-24 08:49:25,425 Epoch[2] Batch [62050] Speed: 10.74 samples/sec Train-Accuracy=0.715714
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
2016-09-24 08:57:44,565 Epoch[3] Batch [150] Speed: 11.06 samples/sec Train-Accuracy=0.751429
2016-09-24 08:58:20,725 Epoch[3] Batch [200] Speed: 11.06 samples/sec Train-Accuracy=0.707143
2016-09-24 08:58:57,031 Epoch[3] Batch [250] Speed: 11.02 samples/sec Train-Accuracy=0.738571
2016-09-24 08:59:33,195 Epoch[3] Batch [300] Speed: 11.06 samples/sec Train-Accuracy=0.721429
2016-09-24 09:00:09,302 Epoch[3] Batch [350] Speed: 11.08 samples/sec Train-Accuracy=0.757143
2016-09-24 09:00:45,474 Epoch[3] Batch [400] Speed: 11.06 samples/sec Train-Accuracy=0.720000
2016-09-24 09:01:21,533 Epoch[3] Batch [450] Speed: 11.09 samples/sec Train-Accuracy=0.697143
2016-09-24 09:01:57,575 Epoch[3] Batch [500] Speed: 11.10 samples/sec Train-Accuracy=0.777143
2016-09-24 09:02:33,943 Epoch[3] Batch [550] Speed: 11.00 samples/sec Train-Accuracy=0.717143
2016-09-24 09:03:11,469 Epoch[3] Batch [600] Speed: 10.66 samples/sec Train-Accuracy=0.724286
2016-09-24 09:03:48,881 Epoch[3] Batch [650] Speed: 10.69 samples/sec Train-Accuracy=0.757143
2016-09-24 09:04:25,323 Epoch[3] Batch [700] Speed: 10.98 samples/sec Train-Accuracy=0.747143
2016-09-24 09:05:02,076 Epoch[3] Batch [750] Speed: 10.88 samples/sec Train-Accuracy=0.755714
2016-09-24 09:05:39,206 Epoch[3] Batch [800] Speed: 10.77 samples/sec Train-Accuracy=0.727143
2016-09-24 09:06:16,924 Epoch[3] Batch [850] Speed: 10.61 samples/sec Train-Accuracy=0.760000
2016-09-24 09:06:54,395 Epoch[3] Batch [900] Speed: 10.67 samples/sec Train-Accuracy=0.720000
2016-09-24 09:07:30,920 Epoch[3] Batch [950] Speed: 10.95 samples/sec Train-Accuracy=0.720000
2016-09-24 09:08:07,475 Epoch[3] Batch [1000] Speed: 10.94 samples/sec Train-Accuracy=0.708571
2016-09-24 09:08:43,385 Epoch[3] Batch [1050] Speed: 11.14 samples/sec Train-Accuracy=0.714286
2016-09-24 09:09:19,259 Epoch[3] Batch [1100] Speed: 11.15 samples/sec Train-Accuracy=0.737143
2016-09-24 09:09:55,161 Epoch[3] Batch [1150] Speed: 11.14 samples/sec Train-Accuracy=0.724286
2016-09-24 09:10:31,073 Epoch[3] Batch [1200] Speed: 11.14 samples/sec Train-Accuracy=0.750000
2016-09-24 09:11:07,101 Epoch[3] Batch [1250] Speed: 11.10 samples/sec Train-Accuracy=0.735714
2016-09-24 09:11:43,421 Epoch[3] Batch [1300] Speed: 11.01 samples/sec Train-Accuracy=0.720000
2016-09-24 09:12:25,461 Epoch[3] Batch [1350] Speed: 9.51 samples/sec Train-Accuracy=0.681429
2016-09-24 09:13:03,572 Epoch[3] Batch [1400] Speed: 10.50 samples/sec Train-Accuracy=0.758571
2016-09-24 09:13:41,225 Epoch[3] Batch [1450] Speed: 10.62 samples/sec Train-Accuracy=0.750000
2016-09-24 09:14:18,534 Epoch[3] Batch [1500] Speed: 10.72 samples/sec Train-Accuracy=0.758571
2016-09-24 09:14:55,961 Epoch[3] Batch [1550] Speed: 10.69 samples/sec Train-Accuracy=0.754286
2016-09-24 09:15:33,303 Epoch[3] Batch [1600] Speed: 10.71 samples/sec Train-Accuracy=0.745714
2016-09-24 09:16:10,496 Epoch[3] Batch [1650] Speed: 10.75 samples/sec Train-Accuracy=0.734286
2016-09-24 09:16:47,680 Epoch[3] Batch [1700] Speed: 10.76 samples/sec Train-Accuracy=0.705714
2016-09-24 09:17:27,368 Epoch[3] Batch [1750] Speed: 10.08 samples/sec Train-Accuracy=0.765714
2016-09-24 09:18:04,218 Epoch[3] Batch [1800] Speed: 10.85 samples/sec Train-Accuracy=0.754286
2016-09-24 09:18:40,650 Epoch[3] Batch [1850] Speed: 10.98 samples/sec Train-Accuracy=0.747143
2016-09-24 09:19:17,801 Epoch[3] Batch [1900] Speed: 10.77 samples/sec Train-Accuracy=0.777143
2016-09-24 09:19:55,414 Epoch[3] Batch [1950] Speed: 10.63 samples/sec Train-Accuracy=0.750000
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
2016-09-24 11:04:53,387 Epoch[3] Batch [10500] Speed: 11.08 samples/sec Train-Accuracy=0.724286
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
2016-09-24 11:06:41,560 Epoch[3] Batch [10650] Speed: 11.11 samples/sec Train-Accuracy=0.732857
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
2016-09-24 11:09:41,581 Epoch[3] Batch [10900] Speed: 11.08 samples/sec Train-Accuracy=0.754286
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
2016-09-24 11:15:42,699 Epoch[3] Batch [11400] Speed: 11.07 samples/sec Train-Accuracy=0.732857
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
2016-09-24 12:55:00,786 Epoch[3] Batch [19400] Speed: 10.71 samples/sec Train-Accuracy=0.750000
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
2016-09-24 12:56:51,515 Epoch[3] Batch [19550] Speed: 11.01 samples/sec Train-Accuracy=0.738571
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
2016-09-24 12:58:39,813 Epoch[3] Batch [19700] Speed: 11.06 samples/sec Train-Accuracy=0.782857
2016-09-24 12:59:16,080 Epoch[3] Batch [19750] Speed: 11.03 samples/sec Train-Accuracy=0.738571
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
2016-09-24 13:01:07,389 Epoch[3] Batch [19900] Speed: 10.77 samples/sec Train-Accuracy=0.775714
2016-09-24 13:01:44,686 Epoch[3] Batch [19950] Speed: 10.72 samples/sec Train-Accuracy=0.722857
2016-09-24 13:02:21,179 Epoch[3] Batch [20000] Speed: 10.96 samples/sec Train-Accuracy=0.750000
2016-09-24 13:02:58,337 Epoch[3] Batch [20050] Speed: 10.76 samples/sec Train-Accuracy=0.750000
2016-09-24 13:03:35,416 Epoch[3] Batch [20100] Speed: 10.79 samples/sec Train-Accuracy=0.781429
2016-09-24 13:04:12,100 Epoch[3] Batch [20150] Speed: 10.90 samples/sec Train-Accuracy=0.744286
2016-09-24 13:04:48,299 Epoch[3] Batch [20200] Speed: 11.05 samples/sec Train-Accuracy=0.751429
2016-09-24 13:05:24,538 Epoch[3] Batch [20250] Speed: 11.04 samples/sec Train-Accuracy=0.752857
2016-09-24 13:06:00,772 Epoch[3] Batch [20300] Speed: 11.04 samples/sec Train-Accuracy=0.735714
2016-09-24 13:06:37,112 Epoch[3] Batch [20350] Speed: 11.01 samples/sec Train-Accuracy=0.764286
2016-09-24 13:07:13,468 Epoch[3] Batch [20400] Speed: 11.00 samples/sec Train-Accuracy=0.757143
2016-09-24 13:07:49,824 Epoch[3] Batch [20450] Speed: 11.00 samples/sec Train-Accuracy=0.725714
2016-09-24 13:08:26,142 Epoch[3] Batch [20500] Speed: 11.01 samples/sec Train-Accuracy=0.740000
2016-09-24 13:09:02,515 Epoch[3] Batch [20550] Speed: 11.00 samples/sec Train-Accuracy=0.732857
2016-09-24 13:09:38,955 Epoch[3] Batch [20600] Speed: 10.98 samples/sec Train-Accuracy=0.742857
2016-09-24 13:10:15,438 Epoch[3] Batch [20650] Speed: 10.96 samples/sec Train-Accuracy=0.722857
2016-09-24 13:10:51,970 Epoch[3] Batch [20700] Speed: 10.95 samples/sec Train-Accuracy=0.741429
2016-09-24 13:11:28,420 Epoch[3] Batch [20750] Speed: 10.97 samples/sec Train-Accuracy=0.738571
2016-09-24 13:12:05,048 Epoch[3] Batch [20800] Speed: 10.92 samples/sec Train-Accuracy=0.760000
2016-09-24 13:12:41,611 Epoch[3] Batch [20850] Speed: 10.94 samples/sec Train-Accuracy=0.745714
2016-09-24 13:13:18,005 Epoch[3] Batch [20900] Speed: 10.99 samples/sec Train-Accuracy=0.771429
2016-09-24 13:13:54,492 Epoch[3] Batch [20950] Speed: 10.96 samples/sec Train-Accuracy=0.751429
2016-09-24 13:14:32,405 Epoch[3] Batch [21000] Speed: 10.55 samples/sec Train-Accuracy=0.767143
2016-09-24 13:15:09,821 Epoch[3] Batch [21050] Speed: 10.69 samples/sec Train-Accuracy=0.770000
2016-09-24 13:15:49,111 Epoch[3] Batch [21100] Speed: 10.18 samples/sec Train-Accuracy=0.757143
2016-09-24 13:16:27,354 Epoch[3] Batch [21150] Speed: 10.46 samples/sec Train-Accuracy=0.735714
2016-09-24 13:17:05,610 Epoch[3] Batch [21200] Speed: 10.46 samples/sec Train-Accuracy=0.741429
2016-09-24 13:17:42,966 Epoch[3] Batch [21250] Speed: 10.71 samples/sec Train-Accuracy=0.725714
2016-09-24 13:18:20,673 Epoch[3] Batch [21300] Speed: 10.61 samples/sec Train-Accuracy=0.744286
2016-09-24 13:18:57,962 Epoch[3] Batch [21350] Speed: 10.73 samples/sec Train-Accuracy=0.720000
2016-09-24 13:19:35,197 Epoch[3] Batch [21400] Speed: 10.74 samples/sec Train-Accuracy=0.707143
2016-09-24 13:20:12,400 Epoch[3] Batch [21450] Speed: 10.75 samples/sec Train-Accuracy=0.754286
2016-09-24 13:20:49,636 Epoch[3] Batch [21500] Speed: 10.74 samples/sec Train-Accuracy=0.751429
2016-09-24 13:21:26,800 Epoch[3] Batch [21550] Speed: 10.76 samples/sec Train-Accuracy=0.764286
2016-09-24 13:22:03,993 Epoch[3] Batch [21600] Speed: 10.76 samples/sec Train-Accuracy=0.727143
2016-09-24 13:22:41,388 Epoch[3] Batch [21650] Speed: 10.70 samples/sec Train-Accuracy=0.735714
2016-09-24 13:23:19,104 Epoch[3] Batch [21700] Speed: 10.61 samples/sec Train-Accuracy=0.735714
2016-09-24 13:23:56,460 Epoch[3] Batch [21750] Speed: 10.71 samples/sec Train-Accuracy=0.714286
2016-09-24 13:24:33,835 Epoch[3] Batch [21800] Speed: 10.70 samples/sec Train-Accuracy=0.718571
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
2016-09-24 13:26:25,609 Epoch[3] Batch [21950] Speed: 10.75 samples/sec Train-Accuracy=0.737143
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
2016-09-24 13:28:57,829 Epoch[3] Batch [22150] Speed: 10.28 samples/sec Train-Accuracy=0.737143
2016-09-24 13:29:37,902 Epoch[3] Batch [22200] Speed: 9.98 samples/sec Train-Accuracy=0.758571
2016-09-24 13:30:17,073 Epoch[3] Batch [22250] Speed: 10.21 samples/sec Train-Accuracy=0.758571
2016-09-24 13:30:55,330 Epoch[3] Batch [22300] Speed: 10.46 samples/sec Train-Accuracy=0.740000
2016-09-24 13:31:34,535 Epoch[3] Batch [22350] Speed: 10.20 samples/sec Train-Accuracy=0.761429
2016-09-24 13:32:12,633 Epoch[3] Batch [22400] Speed: 10.50 samples/sec Train-Accuracy=0.737143
2016-09-24 13:32:50,276 Epoch[3] Batch [22450] Speed: 10.63 samples/sec Train-Accuracy=0.731429
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
2016-09-24 13:35:20,100 Epoch[3] Batch [22650] Speed: 10.68 samples/sec Train-Accuracy=0.760000
2016-09-24 13:35:57,916 Epoch[3] Batch [22700] Speed: 10.58 samples/sec Train-Accuracy=0.695714
2016-09-24 13:36:35,587 Epoch[3] Batch [22750] Speed: 10.62 samples/sec Train-Accuracy=0.757143
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
2016-09-24 13:43:42,580 Epoch[3] Batch [23300] Speed: 10.06 samples/sec Train-Accuracy=0.774286
2016-09-24 13:44:22,521 Epoch[3] Batch [23350] Speed: 10.01 samples/sec Train-Accuracy=0.754286
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
2016-09-24 13:48:51,583 Epoch[3] Batch [23700] Speed: 10.66 samples/sec Train-Accuracy=0.757143
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
2016-09-24 13:50:44,274 Epoch[3] Batch [23850] Speed: 10.63 samples/sec Train-Accuracy=0.741429
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
2016-09-24 13:54:35,157 Epoch[3] Batch [24150] Speed: 10.26 samples/sec Train-Accuracy=0.754286
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
2016-09-24 14:04:09,215 Epoch[3] Batch [24900] Speed: 10.64 samples/sec Train-Accuracy=0.751429
2016-09-24 14:04:47,493 Epoch[3] Batch [24950] Speed: 10.45 samples/sec Train-Accuracy=0.754286
2016-09-24 14:05:25,695 Epoch[3] Batch [25000] Speed: 10.47 samples/sec Train-Accuracy=0.750000
2016-09-24 14:06:03,143 Epoch[3] Batch [25050] Speed: 10.68 samples/sec Train-Accuracy=0.740000
2016-09-24 14:06:40,331 Epoch[3] Batch [25100] Speed: 10.76 samples/sec Train-Accuracy=0.747143
2016-09-24 14:07:17,565 Epoch[3] Batch [25150] Speed: 10.74 samples/sec Train-Accuracy=0.724286
2016-09-24 14:07:54,812 Epoch[3] Batch [25200] Speed: 10.74 samples/sec Train-Accuracy=0.744286
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
2016-09-24 14:11:38,791 Epoch[3] Batch [25500] Speed: 10.70 samples/sec Train-Accuracy=0.761429
2016-09-24 14:12:16,139 Epoch[3] Batch [25550] Speed: 10.71 samples/sec Train-Accuracy=0.724286
2016-09-24 14:12:53,496 Epoch[3] Batch [25600] Speed: 10.71 samples/sec Train-Accuracy=0.725714
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
2016-09-24 14:23:35,784 Epoch[3] Batch [26450] Speed: 10.62 samples/sec Train-Accuracy=0.731429
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
2016-09-24 14:26:43,115 Epoch[3] Batch [26700] Speed: 10.60 samples/sec Train-Accuracy=0.752857
2016-09-24 14:27:20,955 Epoch[3] Batch [26750] Speed: 10.57 samples/sec Train-Accuracy=0.780000
2016-09-24 14:27:58,732 Epoch[3] Batch [26800] Speed: 10.59 samples/sec Train-Accuracy=0.724286
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
2016-09-24 14:29:54,490 Epoch[3] Batch [26950] Speed: 9.98 samples/sec Train-Accuracy=0.771429
2016-09-24 14:30:32,546 Epoch[3] Batch [27000] Speed: 10.51 samples/sec Train-Accuracy=0.764286
2016-09-24 14:31:10,653 Epoch[3] Batch [27050] Speed: 10.50 samples/sec Train-Accuracy=0.765714
2016-09-24 14:31:48,682 Epoch[3] Batch [27100] Speed: 10.52 samples/sec Train-Accuracy=0.761429
2016-09-24 14:32:27,228 Epoch[3] Batch [27150] Speed: 10.38 samples/sec Train-Accuracy=0.742857
2016-09-24 14:33:05,342 Epoch[3] Batch [27200] Speed: 10.50 samples/sec Train-Accuracy=0.740000
2016-09-24 14:33:43,094 Epoch[3] Batch [27250] Speed: 10.60 samples/sec Train-Accuracy=0.708571
2016-09-24 14:34:20,481 Epoch[3] Batch [27300] Speed: 10.70 samples/sec Train-Accuracy=0.734286
2016-09-24 14:34:57,877 Epoch[3] Batch [27350] Speed: 10.70 samples/sec Train-Accuracy=0.768571
2016-09-24 14:35:36,130 Epoch[3] Batch [27400] Speed: 10.46 samples/sec Train-Accuracy=0.757143
2016-09-24 14:36:14,308 Epoch[3] Batch [27450] Speed: 10.48 samples/sec Train-Accuracy=0.738571
2016-09-24 14:36:52,541 Epoch[3] Batch [27500] Speed: 10.46 samples/sec Train-Accuracy=0.785714
2016-09-24 14:37:30,874 Epoch[3] Batch [27550] Speed: 10.43 samples/sec Train-Accuracy=0.741429
2016-09-24 14:38:09,642 Epoch[3] Batch [27600] Speed: 10.32 samples/sec Train-Accuracy=0.738571
2016-09-24 14:38:48,439 Epoch[3] Batch [27650] Speed: 10.31 samples/sec Train-Accuracy=0.784286
2016-09-24 14:39:27,666 Epoch[3] Batch [27700] Speed: 10.20 samples/sec Train-Accuracy=0.710000
2016-09-24 14:40:06,258 Epoch[3] Batch [27750] Speed: 10.36 samples/sec Train-Accuracy=0.748571
2016-09-24 14:40:44,660 Epoch[3] Batch [27800] Speed: 10.42 samples/sec Train-Accuracy=0.737143
2016-09-24 14:41:23,547 Epoch[3] Batch [27850] Speed: 10.29 samples/sec Train-Accuracy=0.732857
2016-09-24 14:42:03,324 Epoch[3] Batch [27900] Speed: 10.06 samples/sec Train-Accuracy=0.774286
2016-09-24 14:42:42,839 Epoch[3] Batch [27950] Speed: 10.12 samples/sec Train-Accuracy=0.787143
2016-09-24 14:43:22,576 Epoch[3] Batch [28000] Speed: 10.07 samples/sec Train-Accuracy=0.755714
2016-09-24 14:44:02,174 Epoch[3] Batch [28050] Speed: 10.10 samples/sec Train-Accuracy=0.751429
2016-09-24 14:44:41,624 Epoch[3] Batch [28100] Speed: 10.14 samples/sec Train-Accuracy=0.777143
2016-09-24 14:45:21,115 Epoch[3] Batch [28150] Speed: 10.13 samples/sec Train-Accuracy=0.695714
2016-09-24 14:46:00,693 Epoch[3] Batch [28200] Speed: 10.11 samples/sec Train-Accuracy=0.748571
2016-09-24 14:46:39,963 Epoch[3] Batch [28250] Speed: 10.19 samples/sec Train-Accuracy=0.748571
2016-09-24 14:47:19,556 Epoch[3] Batch [28300] Speed: 10.10 samples/sec Train-Accuracy=0.755714
2016-09-24 14:47:59,502 Epoch[3] Batch [28350] Speed: 10.01 samples/sec Train-Accuracy=0.757143
2016-09-24 14:48:40,426 Epoch[3] Batch [28400] Speed: 9.77 samples/sec Train-Accuracy=0.752857
2016-09-24 14:49:19,667 Epoch[3] Batch [28450] Speed: 10.19 samples/sec Train-Accuracy=0.755714
2016-09-24 14:50:00,868 Epoch[3] Batch [28500] Speed: 9.71 samples/sec Train-Accuracy=0.730000
2016-09-24 14:50:41,613 Epoch[3] Batch [28550] Speed: 9.82 samples/sec Train-Accuracy=0.760000
2016-09-24 14:51:21,781 Epoch[3] Batch [28600] Speed: 9.96 samples/sec Train-Accuracy=0.794286
2016-09-24 14:52:01,733 Epoch[3] Batch [28650] Speed: 10.01 samples/sec Train-Accuracy=0.745714
2016-09-24 14:52:41,745 Epoch[3] Batch [28700] Speed: 10.00 samples/sec Train-Accuracy=0.744286
2016-09-24 14:53:21,668 Epoch[3] Batch [28750] Speed: 10.02 samples/sec Train-Accuracy=0.747143
2016-09-24 14:54:01,309 Epoch[3] Batch [28800] Speed: 10.09 samples/sec Train-Accuracy=0.772857
2016-09-24 14:54:40,992 Epoch[3] Batch [28850] Speed: 10.08 samples/sec Train-Accuracy=0.754286
2016-09-24 14:55:20,649 Epoch[3] Batch [28900] Speed: 10.09 samples/sec Train-Accuracy=0.741429
2016-09-24 14:55:59,002 Epoch[3] Batch [28950] Speed: 10.43 samples/sec Train-Accuracy=0.760000
2016-09-24 14:56:35,776 Epoch[3] Batch [29000] Speed: 10.88 samples/sec Train-Accuracy=0.754286
2016-09-24 14:57:12,853 Epoch[3] Batch [29050] Speed: 10.79 samples/sec Train-Accuracy=0.741429
2016-09-24 14:57:50,987 Epoch[3] Batch [29100] Speed: 10.49 samples/sec Train-Accuracy=0.775714
2016-09-24 14:58:29,108 Epoch[3] Batch [29150] Speed: 10.49 samples/sec Train-Accuracy=0.734286
2016-09-24 14:59:06,425 Epoch[3] Batch [29200] Speed: 10.72 samples/sec Train-Accuracy=0.768571
2016-09-24 14:59:43,699 Epoch[3] Batch [29250] Speed: 10.73 samples/sec Train-Accuracy=0.738571
2016-09-24 15:00:21,073 Epoch[3] Batch [29300] Speed: 10.70 samples/sec Train-Accuracy=0.775714
2016-09-24 15:00:58,377 Epoch[3] Batch [29350] Speed: 10.72 samples/sec Train-Accuracy=0.732857
2016-09-24 15:01:37,309 Epoch[3] Batch [29400] Speed: 10.27 samples/sec Train-Accuracy=0.794286
2016-09-24 15:02:14,594 Epoch[3] Batch [29450] Speed: 10.73 samples/sec Train-Accuracy=0.731429
2016-09-24 15:02:51,168 Epoch[3] Batch [29500] Speed: 10.94 samples/sec Train-Accuracy=0.748571
2016-09-24 15:03:27,821 Epoch[3] Batch [29550] Speed: 10.91 samples/sec Train-Accuracy=0.745714
2016-09-24 15:04:04,392 Epoch[3] Batch [29600] Speed: 10.94 samples/sec Train-Accuracy=0.745714
2016-09-24 15:04:41,063 Epoch[3] Batch [29650] Speed: 10.91 samples/sec Train-Accuracy=0.760000
2016-09-24 15:05:17,861 Epoch[3] Batch [29700] Speed: 10.87 samples/sec Train-Accuracy=0.772857
2016-09-24 15:05:54,690 Epoch[3] Batch [29750] Speed: 10.86 samples/sec Train-Accuracy=0.745714
2016-09-24 15:06:31,549 Epoch[3] Batch [29800] Speed: 10.85 samples/sec Train-Accuracy=0.731429
2016-09-24 15:07:08,419 Epoch[3] Batch [29850] Speed: 10.85 samples/sec Train-Accuracy=0.752857
2016-09-24 15:07:46,090 Epoch[3] Batch [29900] Speed: 10.62 samples/sec Train-Accuracy=0.764286
2016-09-24 15:08:23,910 Epoch[3] Batch [29950] Speed: 10.58 samples/sec Train-Accuracy=0.758571
2016-09-24 15:09:01,910 Epoch[3] Batch [30000] Speed: 10.53 samples/sec Train-Accuracy=0.718571
2016-09-24 15:09:39,698 Epoch[3] Batch [30050] Speed: 10.59 samples/sec Train-Accuracy=0.708571
2016-09-24 15:10:18,048 Epoch[3] Batch [30100] Speed: 10.43 samples/sec Train-Accuracy=0.737143
2016-09-24 15:10:56,450 Epoch[3] Batch [30150] Speed: 10.42 samples/sec Train-Accuracy=0.781429
2016-09-24 15:11:34,895 Epoch[3] Batch [30200] Speed: 10.40 samples/sec Train-Accuracy=0.767143
2016-09-24 15:12:13,076 Epoch[3] Batch [30250] Speed: 10.48 samples/sec Train-Accuracy=0.765714
2016-09-24 15:12:51,318 Epoch[3] Batch [30300] Speed: 10.46 samples/sec Train-Accuracy=0.707143
2016-09-24 15:13:29,218 Epoch[3] Batch [30350] Speed: 10.55 samples/sec Train-Accuracy=0.751429
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
2016-09-24 19:01:56,209 Epoch[3] Batch [48350] Speed: 11.07 samples/sec Train-Accuracy=0.775714
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
2016-09-24 19:04:56,884 Epoch[3] Batch [48600] Speed: 10.97 samples/sec Train-Accuracy=0.751429
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
2016-09-24 19:08:05,292 Epoch[3] Batch [48850] Speed: 10.66 samples/sec Train-Accuracy=0.771429
2016-09-24 19:08:42,845 Epoch[3] Batch [48900] Speed: 10.65 samples/sec Train-Accuracy=0.764286
2016-09-24 19:09:20,469 Epoch[3] Batch [48950] Speed: 10.63 samples/sec Train-Accuracy=0.781429
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
2016-09-24 19:11:09,066 Epoch[3] Batch [49100] Speed: 11.12 samples/sec Train-Accuracy=0.784286
2016-09-24 19:11:45,154 Epoch[3] Batch [49150] Speed: 11.08 samples/sec Train-Accuracy=0.775714
2016-09-24 19:12:22,087 Epoch[3] Batch [49200] Speed: 10.83 samples/sec Train-Accuracy=0.741429
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
2016-09-24 19:22:14,037 Epoch[3] Batch [50000] Speed: 10.54 samples/sec Train-Accuracy=0.777143
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
2016-09-24 20:54:00,310 Epoch[3] Batch [57450] Speed: 10.59 samples/sec Train-Accuracy=0.768571
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
2016-09-24 20:55:52,921 Epoch[3] Batch [57600] Speed: 10.61 samples/sec Train-Accuracy=0.731429
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
2016-09-24 20:58:59,539 Epoch[3] Batch [57850] Speed: 10.18 samples/sec Train-Accuracy=0.774286
2016-09-24 20:59:36,127 Epoch[3] Batch [57900] Speed: 10.93 samples/sec Train-Accuracy=0.768571
2016-09-24 21:00:13,877 Epoch[3] Batch [57950] Speed: 10.60 samples/sec Train-Accuracy=0.784286
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
2016-09-24 21:02:04,659 Epoch[3] Batch [58100] Speed: 10.77 samples/sec Train-Accuracy=0.792857
2016-09-24 21:02:42,298 Epoch[3] Batch [58150] Speed: 10.63 samples/sec Train-Accuracy=0.801429
2016-09-24 21:03:24,633 Epoch[3] Batch [58200] Speed: 9.45 samples/sec Train-Accuracy=0.762857
2016-09-24 21:04:05,611 Epoch[3] Batch [58250] Speed: 9.76 samples/sec Train-Accuracy=0.754286
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
2016-09-24 21:06:31,323 Epoch[3] Batch [58450] Speed: 10.73 samples/sec Train-Accuracy=0.791429
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
2016-09-24 21:08:57,422 Epoch[3] Batch [58650] Speed: 11.13 samples/sec Train-Accuracy=0.751429
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=0.760000
2016-09-24 21:20:05,572 Epoch[3] Batch [59550] Speed: 11.09 samples/sec Train-Accuracy=0.740000
2016-09-24 21:20:41,705 Epoch[3] Batch [59600] Speed: 11.07 samples/sec Train-Accuracy=0.755714
2016-09-24 21:21:17,858 Epoch[3] Batch [59650] Speed: 11.06 samples/sec Train-Accuracy=0.801429
2016-09-24 21:21:53,976 Epoch[3] Batch [59700] Speed: 11.07 samples/sec Train-Accuracy=0.771429
2016-09-24 21:22:30,107 Epoch[3] Batch [59750] Speed: 11.07 samples/sec Train-Accuracy=0.745714
2016-09-24 21:23:06,748 Epoch[3] Batch [59800] Speed: 10.92 samples/sec Train-Accuracy=0.767143
2016-09-24 21:23:42,985 Epoch[3] Batch [59850] Speed: 11.04 samples/sec Train-Accuracy=0.724286
2016-09-24 21:24:19,169 Epoch[3] Batch [59900] Speed: 11.05 samples/sec Train-Accuracy=0.772857
2016-09-24 21:24:55,520 Epoch[3] Batch [59950] Speed: 11.00 samples/sec Train-Accuracy=0.765714
2016-09-24 21:25:31,731 Epoch[3] Batch [60000] Speed: 11.05 samples/sec Train-Accuracy=0.775714
2016-09-24 21:26:08,870 Epoch[3] Batch [60050] Speed: 10.77 samples/sec Train-Accuracy=0.785714
2016-09-24 21:26:46,441 Epoch[3] Batch [60100] Speed: 10.65 samples/sec Train-Accuracy=0.748571
2016-09-24 21:27:24,721 Epoch[3] Batch [60150] Speed: 10.45 samples/sec Train-Accuracy=0.791429
2016-09-24 21:28:02,679 Epoch[3] Batch [60200] Speed: 10.54 samples/sec Train-Accuracy=0.752857
2016-09-24 21:28:39,378 Epoch[3] Batch [60250] Speed: 10.90 samples/sec Train-Accuracy=0.771429
2016-09-24 21:29:15,624 Epoch[3] Batch [60300] Speed: 11.04 samples/sec Train-Accuracy=0.782857
2016-09-24 21:29:51,848 Epoch[3] Batch [60350] Speed: 11.04 samples/sec Train-Accuracy=0.765714
2016-09-24 21:30:28,098 Epoch[3] Batch [60400] Speed: 11.03 samples/sec Train-Accuracy=0.782857
2016-09-24 21:31:04,243 Epoch[3] Batch [60450] Speed: 11.07 samples/sec Train-Accuracy=0.747143
2016-09-24 21:31:40,435 Epoch[3] Batch [60500] Speed: 11.05 samples/sec Train-Accuracy=0.732857
2016-09-24 21:32:18,056 Epoch[3] Batch [60550] Speed: 10.63 samples/sec Train-Accuracy=0.758571
2016-09-24 21:32:56,235 Epoch[3] Batch [60600] Speed: 10.48 samples/sec Train-Accuracy=0.752857
2016-09-24 21:33:33,051 Epoch[3] Batch [60650] Speed: 10.86 samples/sec Train-Accuracy=0.781429
2016-09-24 21:34:10,071 Epoch[3] Batch [60700] Speed: 10.80 samples/sec Train-Accuracy=0.780000
2016-09-24 21:34:47,769 Epoch[3] Batch [60750] Speed: 10.61 samples/sec Train-Accuracy=0.761429
2016-09-24 21:35:25,199 Epoch[3] Batch [60800] Speed: 10.69 samples/sec Train-Accuracy=0.784286
2016-09-24 21:36:02,679 Epoch[3] Batch [60850] Speed: 10.67 samples/sec Train-Accuracy=0.747143
2016-09-24 21:36:40,079 Epoch[3] Batch [60900] Speed: 10.70 samples/sec Train-Accuracy=0.768571
2016-09-24 21:37:17,486 Epoch[3] Batch [60950] Speed: 10.69 samples/sec Train-Accuracy=0.752857
2016-09-24 21:37:54,191 Epoch[3] Batch [61000] Speed: 10.90 samples/sec Train-Accuracy=0.794286
2016-09-24 21:38:30,220 Epoch[3] Batch [61050] Speed: 11.10 samples/sec Train-Accuracy=0.778571
2016-09-24 21:39:06,314 Epoch[3] Batch [61100] Speed: 11.08 samples/sec Train-Accuracy=0.760000
2016-09-24 21:39:42,413 Epoch[3] Batch [61150] Speed: 11.08 samples/sec Train-Accuracy=0.771429
2016-09-24 21:40:18,797 Epoch[3] Batch [61200] Speed: 10.99 samples/sec Train-Accuracy=0.787143
2016-09-24 21:40:54,857 Epoch[3] Batch [61250] Speed: 11.09 samples/sec Train-Accuracy=0.738571
2016-09-24 21:41:30,823 Epoch[3] Batch [61300] Speed: 11.12 samples/sec Train-Accuracy=0.752857
2016-09-24 21:42:06,747 Epoch[3] Batch [61350] Speed: 11.13 samples/sec Train-Accuracy=0.772857
2016-09-24 21:42:42,746 Epoch[3] Batch [61400] Speed: 11.11 samples/sec Train-Accuracy=0.792857
2016-09-24 21:43:18,756 Epoch[3] Batch [61450] Speed: 11.11 samples/sec Train-Accuracy=0.742857
2016-09-24 21:43:54,768 Epoch[3] Batch [61500] Speed: 11.11 samples/sec Train-Accuracy=0.745714
2016-09-24 21:44:30,758 Epoch[3] Batch [61550] Speed: 11.11 samples/sec Train-Accuracy=0.785714
2016-09-24 21:45:06,711 Epoch[3] Batch [61600] Speed: 11.13 samples/sec Train-Accuracy=0.755714
2016-09-24 21:45:42,620 Epoch[3] Batch [61650] Speed: 11.14 samples/sec Train-Accuracy=0.741429
2016-09-24 21:46:18,527 Epoch[3] Batch [61700] Speed: 11.14 samples/sec Train-Accuracy=0.774286
2016-09-24 21:46:54,484 Epoch[3] Batch [61750] Speed: 11.12 samples/sec Train-Accuracy=0.758571
2016-09-24 21:47:32,736 Epoch[3] Batch [61800] Speed: 10.46 samples/sec Train-Accuracy=0.761429
2016-09-24 21:48:13,028 Epoch[3] Batch [61850] Speed: 9.93 samples/sec Train-Accuracy=0.792857
2016-09-24 21:48:50,905 Epoch[3] Batch [61900] Speed: 10.56 samples/sec Train-Accuracy=0.777143
2016-09-24 21:49:28,663 Epoch[3] Batch [61950] Speed: 10.59 samples/sec Train-Accuracy=0.781429
2016-09-24 21:50:06,464 Epoch[3] Batch [62000] Speed: 10.58 samples/sec Train-Accuracy=0.788571
2016-09-24 21:50:43,944 Epoch[3] Batch [62050] Speed: 10.67 samples/sec Train-Accuracy=0.747143
2016-09-24 21:51:21,534 Epoch[3] Batch [62100] Speed: 10.64 samples/sec Train-Accuracy=0.760000
2016-09-24 21:51:58,616 Epoch[3] Batch [62150] Speed: 10.79 samples/sec Train-Accuracy=0.768571
2016-09-24 21:52:35,873 Epoch[3] Batch [62200] Speed: 10.74 samples/sec Train-Accuracy=0.765714
2016-09-24 21:53:13,190 Epoch[3] Batch [62250] Speed: 10.72 samples/sec Train-Accuracy=0.761429
2016-09-24 21:53:50,389 Epoch[3] Batch [62300] Speed: 10.75 samples/sec Train-Accuracy=0.772857
2016-09-24 21:54:27,960 Epoch[3] Batch [62350] Speed: 10.65 samples/sec Train-Accuracy=0.775714
2016-09-24 21:55:04,895 Epoch[3] Batch [62400] Speed: 10.83 samples/sec Train-Accuracy=0.752857
2016-09-24 21:55:41,006 Epoch[3] Batch [62450] Speed: 11.08 samples/sec Train-Accuracy=0.768571
2016-09-24 21:56:17,066 Epoch[3] Batch [62500] Speed: 11.09 samples/sec Train-Accuracy=0.782857
2016-09-24 21:56:17,067 Epoch[3] Resetting Data Iterator
2016-09-24 21:56:17,067 Epoch[3] Time cost=46821.320
2016-09-24 21:57:09,420 Epoch[3] Validation-Accuracy=0.800571
2016-09-24 21:57:45,722 Epoch[4] Batch [50] Speed: 11.14 samples/sec Train-Accuracy=0.732857
2016-09-24 21:58:23,205 Epoch[4] Batch [100] Speed: 10.67 samples/sec Train-Accuracy=0.754286
2016-09-24 21:59:00,261 Epoch[4] Batch [150] Speed: 10.79 samples/sec Train-Accuracy=0.724286
2016-09-24 21:59:36,536 Epoch[4] Batch [200] Speed: 11.03 samples/sec Train-Accuracy=0.761429
2016-09-24 22:00:12,762 Epoch[4] Batch [250] Speed: 11.04 samples/sec Train-Accuracy=0.725714
2016-09-24 22:00:48,875 Epoch[4] Batch [300] Speed: 11.08 samples/sec Train-Accuracy=0.762857
2016-09-24 22:01:24,880 Epoch[4] Batch [350] Speed: 11.11 samples/sec Train-Accuracy=0.778571
2016-09-24 22:02:00,793 Epoch[4] Batch [400] Speed: 11.14 samples/sec Train-Accuracy=0.725714
2016-09-24 22:02:37,020 Epoch[4] Batch [450] Speed: 11.04 samples/sec Train-Accuracy=0.767143
2016-09-24 22:03:12,931 Epoch[4] Batch [500] Speed: 11.14 samples/sec Train-Accuracy=0.781429
2016-09-24 22:03:49,712 Epoch[4] Batch [550] Speed: 10.88 samples/sec Train-Accuracy=0.752857
2016-09-24 22:04:26,613 Epoch[4] Batch [600] Speed: 10.84 samples/sec Train-Accuracy=0.728571
2016-09-24 22:05:04,079 Epoch[4] Batch [650] Speed: 10.68 samples/sec Train-Accuracy=0.805714
2016-09-24 22:05:41,676 Epoch[4] Batch [700] Speed: 10.64 samples/sec Train-Accuracy=0.800000
2016-09-24 22:06:18,983 Epoch[4] Batch [750] Speed: 10.72 samples/sec Train-Accuracy=0.761429
2016-09-24 22:06:56,299 Epoch[4] Batch [800] Speed: 10.72 samples/sec Train-Accuracy=0.767143
2016-09-24 22:07:33,896 Epoch[4] Batch [850] Speed: 10.64 samples/sec Train-Accuracy=0.751429
2016-09-24 22:08:11,127 Epoch[4] Batch [900] Speed: 10.74 samples/sec Train-Accuracy=0.780000
2016-09-24 22:08:48,386 Epoch[4] Batch [950] Speed: 10.74 samples/sec Train-Accuracy=0.784286
2016-09-24 22:09:24,497 Epoch[4] Batch [1000] Speed: 11.08 samples/sec Train-Accuracy=0.780000
2016-09-24 22:10:00,623 Epoch[4] Batch [1050] Speed: 11.07 samples/sec Train-Accuracy=0.780000
2016-09-24 22:10:36,846 Epoch[4] Batch [1100] Speed: 11.04 samples/sec Train-Accuracy=0.764286
2016-09-24 22:11:13,024 Epoch[4] Batch [1150] Speed: 11.06 samples/sec Train-Accuracy=0.764286
2016-09-24 22:11:49,153 Epoch[4] Batch [1200] Speed: 11.07 samples/sec Train-Accuracy=0.777143
2016-09-24 22:12:27,714 Epoch[4] Batch [1250] Speed: 10.37 samples/sec Train-Accuracy=0.774286
2016-09-24 22:13:06,031 Epoch[4] Batch [1300] Speed: 10.44 samples/sec Train-Accuracy=0.787143
2016-09-24 22:13:43,975 Epoch[4] Batch [1350] Speed: 10.54 samples/sec Train-Accuracy=0.777143
2016-09-24 22:14:22,042 Epoch[4] Batch [1400] Speed: 10.51 samples/sec Train-Accuracy=0.754286
2016-09-24 22:14:59,380 Epoch[4] Batch [1450] Speed: 10.71 samples/sec Train-Accuracy=0.800000
2016-09-24 22:15:36,601 Epoch[4] Batch [1500] Speed: 10.75 samples/sec Train-Accuracy=0.747143
2016-09-24 22:16:13,759 Epoch[4] Batch [1550] Speed: 10.77 samples/sec Train-Accuracy=0.758571
2016-09-24 22:16:51,596 Epoch[4] Batch [1600] Speed: 10.57 samples/sec Train-Accuracy=0.795714
2016-09-24 22:17:29,181 Epoch[4] Batch [1650] Speed: 10.64 samples/sec Train-Accuracy=0.760000
2016-09-24 22:18:06,668 Epoch[4] Batch [1700] Speed: 10.67 samples/sec Train-Accuracy=0.742857
2016-09-24 22:18:44,177 Epoch[4] Batch [1750] Speed: 10.66 samples/sec Train-Accuracy=0.794286
2016-09-24 22:19:21,894 Epoch[4] Batch [1800] Speed: 10.61 samples/sec Train-Accuracy=0.738571
2016-09-24 22:19:59,012 Epoch[4] Batch [1850] Speed: 10.78 samples/sec Train-Accuracy=0.774286
2016-09-24 22:20:35,626 Epoch[4] Batch [1900] Speed: 10.92 samples/sec Train-Accuracy=0.758571
2016-09-24 22:21:11,723 Epoch[4] Batch [1950] Speed: 11.08 samples/sec Train-Accuracy=0.764286
2016-09-24 22:21:47,835 Epoch[4] Batch [2000] Speed: 11.08 samples/sec Train-Accuracy=0.748571
2016-09-24 22:22:23,974 Epoch[4] Batch [2050] Speed: 11.07 samples/sec Train-Accuracy=0.770000
2016-09-24 22:23:00,314 Epoch[4] Batch [2100] Speed: 11.01 samples/sec Train-Accuracy=0.771429
2016-09-24 22:23:36,555 Epoch[4] Batch [2150] Speed: 11.04 samples/sec Train-Accuracy=0.752857
2016-09-24 22:24:12,665 Epoch[4] Batch [2200] Speed: 11.08 samples/sec Train-Accuracy=0.760000
2016-09-24 22:24:48,818 Epoch[4] Batch [2250] Speed: 11.06 samples/sec Train-Accuracy=0.765714
2016-09-24 22:25:25,017 Epoch[4] Batch [2300] Speed: 11.05 samples/sec Train-Accuracy=0.772857
2016-09-24 22:26:01,256 Epoch[4] Batch [2350] Speed: 11.04 samples/sec Train-Accuracy=0.777143
2016-09-24 22:26:37,522 Epoch[4] Batch [2400] Speed: 11.03 samples/sec Train-Accuracy=0.750000
2016-09-24 22:27:13,735 Epoch[4] Batch [2450] Speed: 11.05 samples/sec Train-Accuracy=0.774286
2016-09-24 22:27:50,010 Epoch[4] Batch [2500] Speed: 11.03 samples/sec Train-Accuracy=0.744286
2016-09-24 22:28:26,758 Epoch[4] Batch [2550] Speed: 10.89 samples/sec Train-Accuracy=0.790000
2016-09-24 22:29:03,646 Epoch[4] Batch [2600] Speed: 10.84 samples/sec Train-Accuracy=0.762857
2016-09-24 22:29:39,912 Epoch[4] Batch [2650] Speed: 11.03 samples/sec Train-Accuracy=0.800000
2016-09-24 22:30:16,025 Epoch[4] Batch [2700] Speed: 11.08 samples/sec Train-Accuracy=0.728571
2016-09-24 22:30:52,199 Epoch[4] Batch [2750] Speed: 11.06 samples/sec Train-Accuracy=0.810000
2016-09-24 22:31:28,316 Epoch[4] Batch [2800] Speed: 11.07 samples/sec Train-Accuracy=0.731429
2016-09-24 22:32:04,803 Epoch[4] Batch [2850] Speed: 10.96 samples/sec Train-Accuracy=0.771429
2016-09-24 22:32:41,692 Epoch[4] Batch [2900] Speed: 10.84 samples/sec Train-Accuracy=0.734286
2016-09-24 22:33:18,543 Epoch[4] Batch [2950] Speed: 10.85 samples/sec Train-Accuracy=0.741429
2016-09-24 22:33:56,049 Epoch[4] Batch [3000] Speed: 10.67 samples/sec Train-Accuracy=0.790000
2016-09-24 22:34:33,630 Epoch[4] Batch [3050] Speed: 10.64 samples/sec Train-Accuracy=0.782857
2016-09-24 22:35:11,334 Epoch[4] Batch [3100] Speed: 10.61 samples/sec Train-Accuracy=0.772857
2016-09-24 22:35:48,702 Epoch[4] Batch [3150] Speed: 10.70 samples/sec Train-Accuracy=0.770000
2016-09-24 22:36:26,040 Epoch[4] Batch [3200] Speed: 10.71 samples/sec Train-Accuracy=0.751429
2016-09-24 22:37:03,580 Epoch[4] Batch [3250] Speed: 10.66 samples/sec Train-Accuracy=0.772857
2016-09-24 22:37:41,182 Epoch[4] Batch [3300] Speed: 10.64 samples/sec Train-Accuracy=0.760000
2016-09-24 22:38:18,735 Epoch[4] Batch [3350] Speed: 10.65 samples/sec Train-Accuracy=0.772857
2016-09-24 22:38:55,622 Epoch[4] Batch [3400] Speed: 10.84 samples/sec Train-Accuracy=0.717143
2016-09-24 22:39:32,355 Epoch[4] Batch [3450] Speed: 10.89 samples/sec Train-Accuracy=0.768571
2016-09-24 22:40:08,960 Epoch[4] Batch [3500] Speed: 10.93 samples/sec Train-Accuracy=0.808571
2016-09-24 22:40:46,185 Epoch[4] Batch [3550] Speed: 10.75 samples/sec Train-Accuracy=0.750000
2016-09-24 22:41:23,813 Epoch[4] Batch [3600] Speed: 10.63 samples/sec Train-Accuracy=0.765714
2016-09-24 22:42:01,435 Epoch[4] Batch [3650] Speed: 10.63 samples/sec Train-Accuracy=0.737143
2016-09-24 22:42:39,168 Epoch[4] Batch [3700] Speed: 10.60 samples/sec Train-Accuracy=0.767143
2016-09-24 22:43:16,367 Epoch[4] Batch [3750] Speed: 10.75 samples/sec Train-Accuracy=0.777143
2016-09-24 22:43:53,851 Epoch[4] Batch [3800] Speed: 10.67 samples/sec Train-Accuracy=0.780000
2016-09-24 22:44:31,086 Epoch[4] Batch [3850] Speed: 10.74 samples/sec Train-Accuracy=0.734286
2016-09-24 22:45:07,429 Epoch[4] Batch [3900] Speed: 11.01 samples/sec Train-Accuracy=0.780000
2016-09-24 22:45:43,977 Epoch[4] Batch [3950] Speed: 10.94 samples/sec Train-Accuracy=0.751429
2016-09-24 22:46:20,356 Epoch[4] Batch [4000] Speed: 11.00 samples/sec Train-Accuracy=0.765714
2016-09-24 22:46:56,791 Epoch[4] Batch [4050] Speed: 10.98 samples/sec Train-Accuracy=0.795714
2016-09-24 22:47:33,228 Epoch[4] Batch [4100] Speed: 10.98 samples/sec Train-Accuracy=0.798571
2016-09-24 22:48:10,367 Epoch[4] Batch [4150] Speed: 10.77 samples/sec Train-Accuracy=0.785714
2016-09-24 22:48:47,243 Epoch[4] Batch [4200] Speed: 10.85 samples/sec Train-Accuracy=0.778571
2016-09-24 22:49:23,687 Epoch[4] Batch [4250] Speed: 10.98 samples/sec Train-Accuracy=0.742857
2016-09-24 22:50:00,165 Epoch[4] Batch [4300] Speed: 10.97 samples/sec Train-Accuracy=0.764286
2016-09-24 22:50:38,528 Epoch[4] Batch [4350] Speed: 10.43 samples/sec Train-Accuracy=0.730000
2016-09-24 22:51:17,439 Epoch[4] Batch [4400] Speed: 10.28 samples/sec Train-Accuracy=0.768571
2016-09-24 22:51:56,008 Epoch[4] Batch [4450] Speed: 10.37 samples/sec Train-Accuracy=0.737143
2016-09-24 22:52:35,172 Epoch[4] Batch [4500] Speed: 10.21 samples/sec Train-Accuracy=0.760000
2016-09-24 22:53:14,199 Epoch[4] Batch [4550] Speed: 10.25 samples/sec Train-Accuracy=0.767143
2016-09-24 22:53:52,692 Epoch[4] Batch [4600] Speed: 10.39 samples/sec Train-Accuracy=0.754286
2016-09-24 22:54:31,272 Epoch[4] Batch [4650] Speed: 10.37 samples/sec Train-Accuracy=0.775714
2016-09-24 22:55:08,757 Epoch[4] Batch [4700] Speed: 10.67 samples/sec Train-Accuracy=0.774286
2016-09-24 22:55:45,521 Epoch[4] Batch [4750] Speed: 10.88 samples/sec Train-Accuracy=0.765714
2016-09-24 22:56:21,970 Epoch[4] Batch [4800] Speed: 10.97 samples/sec Train-Accuracy=0.748571
2016-09-24 22:56:58,713 Epoch[4] Batch [4850] Speed: 10.89 samples/sec Train-Accuracy=0.774286
2016-09-24 22:57:40,353 Epoch[4] Batch [4900] Speed: 9.61 samples/sec Train-Accuracy=0.761429
2016-09-24 22:58:23,277 Epoch[4] Batch [4950] Speed: 9.32 samples/sec Train-Accuracy=0.775714
2016-09-24 22:59:00,117 Epoch[4] Batch [5000] Speed: 10.86 samples/sec Train-Accuracy=0.751429
2016-09-24 22:59:36,865 Epoch[4] Batch [5050] Speed: 10.89 samples/sec Train-Accuracy=0.781429
2016-09-24 23:00:16,113 Epoch[4] Batch [5100] Speed: 10.19 samples/sec Train-Accuracy=0.804286
2016-09-24 23:00:54,779 Epoch[4] Batch [5150] Speed: 10.35 samples/sec Train-Accuracy=0.710000
2016-09-24 23:01:35,121 Epoch[4] Batch [5200] Speed: 9.92 samples/sec Train-Accuracy=0.792857
2016-09-24 23:02:12,617 Epoch[4] Batch [5250] Speed: 10.67 samples/sec Train-Accuracy=0.762857
2016-09-24 23:02:50,485 Epoch[4] Batch [5300] Speed: 10.56 samples/sec Train-Accuracy=0.751429
2016-09-24 23:03:28,308 Epoch[4] Batch [5350] Speed: 10.58 samples/sec Train-Accuracy=0.788571
2016-09-24 23:04:06,441 Epoch[4] Batch [5400] Speed: 10.49 samples/sec Train-Accuracy=0.788571
2016-09-24 23:04:46,058 Epoch[4] Batch [5450] Speed: 10.10 samples/sec Train-Accuracy=0.772857
2016-09-24 23:05:23,926 Epoch[4] Batch [5500] Speed: 10.56 samples/sec Train-Accuracy=0.772857
2016-09-24 23:06:01,660 Epoch[4] Batch [5550] Speed: 10.60 samples/sec Train-Accuracy=0.778571
2016-09-24 23:06:39,981 Epoch[4] Batch [5600] Speed: 10.44 samples/sec Train-Accuracy=0.785714
2016-09-24 23:07:16,459 Epoch[4] Batch [5650] Speed: 10.97 samples/sec Train-Accuracy=0.742857
2016-09-24 23:07:55,624 Epoch[4] Batch [5700] Speed: 10.21 samples/sec Train-Accuracy=0.777143
2016-09-24 23:08:33,013 Epoch[4] Batch [5750] Speed: 10.70 samples/sec Train-Accuracy=0.771429
2016-09-24 23:09:10,331 Epoch[4] Batch [5800] Speed: 10.72 samples/sec Train-Accuracy=0.784286
2016-09-24 23:09:47,150 Epoch[4] Batch [5850] Speed: 10.86 samples/sec Train-Accuracy=0.767143
2016-09-24 23:10:23,507 Epoch[4] Batch [5900] Speed: 11.00 samples/sec Train-Accuracy=0.792857
2016-09-24 23:10:59,751 Epoch[4] Batch [5950] Speed: 11.04 samples/sec Train-Accuracy=0.768571
2016-09-24 23:11:36,375 Epoch[4] Batch [6000] Speed: 10.92 samples/sec Train-Accuracy=0.797143
2016-09-24 23:12:12,770 Epoch[4] Batch [6050] Speed: 10.99 samples/sec Train-Accuracy=0.770000
2016-09-24 23:12:49,100 Epoch[4] Batch [6100] Speed: 11.01 samples/sec Train-Accuracy=0.755714
2016-09-24 23:13:25,990 Epoch[4] Batch [6150] Speed: 10.84 samples/sec Train-Accuracy=0.760000
2016-09-24 23:14:03,266 Epoch[4] Batch [6200] Speed: 10.73 samples/sec Train-Accuracy=0.741429
2016-09-24 23:14:39,832 Epoch[4] Batch [6250] Speed: 10.94 samples/sec Train-Accuracy=0.761429
2016-09-24 23:15:16,188 Epoch[4] Batch [6300] Speed: 11.00 samples/sec Train-Accuracy=0.782857
2016-09-24 23:15:52,533 Epoch[4] Batch [6350] Speed: 11.01 samples/sec Train-Accuracy=0.740000
2016-09-24 23:16:28,799 Epoch[4] Batch [6400] Speed: 11.03 samples/sec Train-Accuracy=0.755714
2016-09-24 23:17:06,478 Epoch[4] Batch [6450] Speed: 10.62 samples/sec Train-Accuracy=0.742857
2016-09-24 23:17:43,130 Epoch[4] Batch [6500] Speed: 10.91 samples/sec Train-Accuracy=0.777143
2016-09-24 23:18:19,525 Epoch[4] Batch [6550] Speed: 10.99 samples/sec Train-Accuracy=0.805714
2016-09-24 23:18:57,501 Epoch[4] Batch [6600] Speed: 10.53 samples/sec Train-Accuracy=0.790000
2016-09-24 23:19:35,828 Epoch[4] Batch [6650] Speed: 10.44 samples/sec Train-Accuracy=0.760000
2016-09-24 23:20:13,983 Epoch[4] Batch [6700] Speed: 10.48 samples/sec Train-Accuracy=0.761429
2016-09-24 23:20:52,121 Epoch[4] Batch [6750] Speed: 10.49 samples/sec Train-Accuracy=0.767143
2016-09-24 23:21:30,112 Epoch[4] Batch [6800] Speed: 10.53 samples/sec Train-Accuracy=0.804286
2016-09-24 23:22:08,141 Epoch[4] Batch [6850] Speed: 10.52 samples/sec Train-Accuracy=0.748571
2016-09-24 23:22:46,863 Epoch[4] Batch [6900] Speed: 10.33 samples/sec Train-Accuracy=0.742857
2016-09-24 23:23:25,067 Epoch[4] Batch [6950] Speed: 10.47 samples/sec Train-Accuracy=0.750000
2016-09-24 23:24:03,466 Epoch[4] Batch [7000] Speed: 10.42 samples/sec Train-Accuracy=0.792857
2016-09-24 23:24:42,079 Epoch[4] Batch [7050] Speed: 10.36 samples/sec Train-Accuracy=0.785714
2016-09-24 23:25:19,978 Epoch[4] Batch [7100] Speed: 10.55 samples/sec Train-Accuracy=0.768571
2016-09-24 23:25:58,530 Epoch[4] Batch [7150] Speed: 10.38 samples/sec Train-Accuracy=0.748571
2016-09-24 23:26:36,943 Epoch[4] Batch [7200] Speed: 10.41 samples/sec Train-Accuracy=0.784286
2016-09-24 23:27:14,132 Epoch[4] Batch [7250] Speed: 10.76 samples/sec Train-Accuracy=0.775714
2016-09-24 23:27:50,972 Epoch[4] Batch [7300] Speed: 10.86 samples/sec Train-Accuracy=0.791429
2016-09-24 23:28:27,829 Epoch[4] Batch [7350] Speed: 10.85 samples/sec Train-Accuracy=0.805714
2016-09-24 23:29:04,568 Epoch[4] Batch [7400] Speed: 10.89 samples/sec Train-Accuracy=0.767143
2016-09-24 23:29:41,255 Epoch[4] Batch [7450] Speed: 10.90 samples/sec Train-Accuracy=0.760000
2016-09-24 23:30:18,092 Epoch[4] Batch [7500] Speed: 10.86 samples/sec Train-Accuracy=0.800000
2016-09-24 23:30:55,200 Epoch[4] Batch [7550] Speed: 10.78 samples/sec Train-Accuracy=0.760000
2016-09-24 23:31:33,780 Epoch[4] Batch [7600] Speed: 10.37 samples/sec Train-Accuracy=0.770000
2016-09-24 23:32:11,753 Epoch[4] Batch [7650] Speed: 10.53 samples/sec Train-Accuracy=0.744286
2016-09-24 23:32:50,985 Epoch[4] Batch [7700] Speed: 10.20 samples/sec Train-Accuracy=0.762857
2016-09-24 23:33:29,705 Epoch[4] Batch [7750] Speed: 10.33 samples/sec Train-Accuracy=0.764286
2016-09-24 23:34:08,113 Epoch[4] Batch [7800] Speed: 10.41 samples/sec Train-Accuracy=0.795714
2016-09-24 23:34:45,906 Epoch[4] Batch [7850] Speed: 10.58 samples/sec Train-Accuracy=0.754286
2016-09-24 23:35:25,071 Epoch[4] Batch [7900] Speed: 10.21 samples/sec Train-Accuracy=0.770000
2016-09-24 23:36:05,628 Epoch[4] Batch [7950] Speed: 9.86 samples/sec Train-Accuracy=0.714286
2016-09-24 23:36:43,950 Epoch[4] Batch [8000] Speed: 10.44 samples/sec Train-Accuracy=0.787143
2016-09-24 23:37:21,649 Epoch[4] Batch [8050] Speed: 10.61 samples/sec Train-Accuracy=0.780000
2016-09-24 23:37:59,099 Epoch[4] Batch [8100] Speed: 10.68 samples/sec Train-Accuracy=0.761429
2016-09-24 23:38:35,408 Epoch[4] Batch [8150] Speed: 11.02 samples/sec Train-Accuracy=0.788571
2016-09-24 23:39:11,743 Epoch[4] Batch [8200] Speed: 11.01 samples/sec Train-Accuracy=0.767143
2016-09-24 23:39:48,030 Epoch[4] Batch [8250] Speed: 11.02 samples/sec Train-Accuracy=0.748571
2016-09-24 23:40:24,370 Epoch[4] Batch [8300] Speed: 11.01 samples/sec Train-Accuracy=0.767143
2016-09-24 23:41:00,873 Epoch[4] Batch [8350] Speed: 10.96 samples/sec Train-Accuracy=0.782857
2016-09-24 23:41:38,661 Epoch[4] Batch [8400] Speed: 10.59 samples/sec Train-Accuracy=0.791429
2016-09-24 23:42:15,012 Epoch[4] Batch [8450] Speed: 11.00 samples/sec Train-Accuracy=0.788571
2016-09-24 23:42:51,504 Epoch[4] Batch [8500] Speed: 10.96 samples/sec Train-Accuracy=0.781429
2016-09-24 23:43:28,436 Epoch[4] Batch [8550] Speed: 10.83 samples/sec Train-Accuracy=0.768571
2016-09-24 23:44:04,727 Epoch[4] Batch [8600] Speed: 11.02 samples/sec Train-Accuracy=0.780000
2016-09-24 23:44:44,547 Epoch[4] Batch [8650] Speed: 10.05 samples/sec Train-Accuracy=0.720000
2016-09-24 23:45:20,884 Epoch[4] Batch [8700] Speed: 11.01 samples/sec Train-Accuracy=0.788571
2016-09-24 23:45:57,135 Epoch[4] Batch [8750] Speed: 11.03 samples/sec Train-Accuracy=0.767143
2016-09-24 23:46:33,525 Epoch[4] Batch [8800] Speed: 10.99 samples/sec Train-Accuracy=0.758571
2016-09-24 23:47:12,440 Epoch[4] Batch [8850] Speed: 10.28 samples/sec Train-Accuracy=0.764286
2016-09-24 23:47:50,960 Epoch[4] Batch [8900] Speed: 10.38 samples/sec Train-Accuracy=0.744286
2016-09-24 23:48:29,156 Epoch[4] Batch [8950] Speed: 10.47 samples/sec Train-Accuracy=0.782857
2016-09-24 23:49:05,927 Epoch[4] Batch [9000] Speed: 10.88 samples/sec Train-Accuracy=0.787143
2016-09-24 23:49:42,474 Epoch[4] Batch [9050] Speed: 10.94 samples/sec Train-Accuracy=0.747143
2016-09-24 23:50:18,923 Epoch[4] Batch [9100] Speed: 10.97 samples/sec Train-Accuracy=0.757143
2016-09-24 23:50:55,287 Epoch[4] Batch [9150] Speed: 11.00 samples/sec Train-Accuracy=0.747143
2016-09-24 23:51:32,019 Epoch[4] Batch [9200] Speed: 10.89 samples/sec Train-Accuracy=0.785714
2016-09-24 23:52:08,474 Epoch[4] Batch [9250] Speed: 10.97 samples/sec Train-Accuracy=0.754286
2016-09-24 23:52:45,328 Epoch[4] Batch [9300] Speed: 10.85 samples/sec Train-Accuracy=0.804286
2016-09-24 23:53:21,783 Epoch[4] Batch [9350] Speed: 10.97 samples/sec Train-Accuracy=0.774286
2016-09-24 23:53:58,261 Epoch[4] Batch [9400] Speed: 10.97 samples/sec Train-Accuracy=0.770000
2016-09-24 23:54:34,765 Epoch[4] Batch [9450] Speed: 10.96 samples/sec Train-Accuracy=0.772857
2016-09-24 23:55:11,406 Epoch[4] Batch [9500] Speed: 10.92 samples/sec Train-Accuracy=0.758571
2016-09-24 23:55:47,929 Epoch[4] Batch [9550] Speed: 10.95 samples/sec Train-Accuracy=0.767143
2016-09-24 23:56:24,421 Epoch[4] Batch [9600] Speed: 10.96 samples/sec Train-Accuracy=0.782857
2016-09-24 23:57:01,218 Epoch[4] Batch [9650] Speed: 10.87 samples/sec Train-Accuracy=0.767143
2016-09-24 23:57:38,403 Epoch[4] Batch [9700] Speed: 10.76 samples/sec Train-Accuracy=0.745714
2016-09-24 23:58:15,673 Epoch[4] Batch [9750] Speed: 10.73 samples/sec Train-Accuracy=0.767143
2016-09-24 23:58:52,976 Epoch[4] Batch [9800] Speed: 10.72 samples/sec Train-Accuracy=0.770000
2016-09-24 23:59:30,168 Epoch[4] Batch [9850] Speed: 10.76 samples/sec Train-Accuracy=0.727143
2016-09-25 00:00:07,412 Epoch[4] Batch [9900] Speed: 10.74 samples/sec Train-Accuracy=0.754286
2016-09-25 00:00:44,904 Epoch[4] Batch [9950] Speed: 10.67 samples/sec Train-Accuracy=0.748571
2016-09-25 00:01:22,674 Epoch[4] Batch [10000] Speed: 10.59 samples/sec Train-Accuracy=0.735714
2016-09-25 00:02:00,071 Epoch[4] Batch [10050] Speed: 10.70 samples/sec Train-Accuracy=0.775714
2016-09-25 00:02:37,066 Epoch[4] Batch [10100] Speed: 10.81 samples/sec Train-Accuracy=0.791429
2016-09-25 00:03:14,265 Epoch[4] Batch [10150] Speed: 10.75 samples/sec Train-Accuracy=0.771429
2016-09-25 00:03:51,475 Epoch[4] Batch [10200] Speed: 10.75 samples/sec Train-Accuracy=0.777143
2016-09-25 00:04:28,768 Epoch[4] Batch [10250] Speed: 10.73 samples/sec Train-Accuracy=0.738571
2016-09-25 00:05:06,074 Epoch[4] Batch [10300] Speed: 10.72 samples/sec Train-Accuracy=0.771429
2016-09-25 00:05:43,527 Epoch[4] Batch [10350] Speed: 10.68 samples/sec Train-Accuracy=0.780000
2016-09-25 00:06:20,851 Epoch[4] Batch [10400] Speed: 10.72 samples/sec Train-Accuracy=0.777143
2016-09-25 00:06:58,068 Epoch[4] Batch [10450] Speed: 10.75 samples/sec Train-Accuracy=0.762857
2016-09-25 00:07:35,384 Epoch[4] Batch [10500] Speed: 10.72 samples/sec Train-Accuracy=0.767143
2016-09-25 00:08:12,337 Epoch[4] Batch [10550] Speed: 10.82 samples/sec Train-Accuracy=0.792857
2016-09-25 00:08:49,415 Epoch[4] Batch [10600] Speed: 10.79 samples/sec Train-Accuracy=0.767143
2016-09-25 00:09:27,557 Epoch[4] Batch [10650] Speed: 10.49 samples/sec Train-Accuracy=0.742857
2016-09-25 00:10:08,674 Epoch[4] Batch [10700] Speed: 9.73 samples/sec Train-Accuracy=0.791429
2016-09-25 00:10:50,448 Epoch[4] Batch [10750] Speed: 9.58 samples/sec Train-Accuracy=0.764286
2016-09-25 00:11:31,256 Epoch[4] Batch [10800] Speed: 9.80 samples/sec Train-Accuracy=0.777143
2016-09-25 00:12:12,740 Epoch[4] Batch [10850] Speed: 9.64 samples/sec Train-Accuracy=0.765714
2016-09-25 00:12:53,252 Epoch[4] Batch [10900] Speed: 9.87 samples/sec Train-Accuracy=0.760000
2016-09-25 00:13:33,558 Epoch[4] Batch [10950] Speed: 9.92 samples/sec Train-Accuracy=0.792857
2016-09-25 00:14:14,837 Epoch[4] Batch [11000] Speed: 9.69 samples/sec Train-Accuracy=0.778571
2016-09-25 00:14:56,513 Epoch[4] Batch [11050] Speed: 9.60 samples/sec Train-Accuracy=0.754286
2016-09-25 00:15:36,890 Epoch[4] Batch [11100] Speed: 9.91 samples/sec Train-Accuracy=0.765714
2016-09-25 00:16:14,991 Epoch[4] Batch [11150] Speed: 10.50 samples/sec Train-Accuracy=0.735714
2016-09-25 00:16:54,258 Epoch[4] Batch [11200] Speed: 10.19 samples/sec Train-Accuracy=0.777143
2016-09-25 00:17:32,867 Epoch[4] Batch [11250] Speed: 10.36 samples/sec Train-Accuracy=0.767143
2016-09-25 00:18:11,304 Epoch[4] Batch [11300] Speed: 10.41 samples/sec Train-Accuracy=0.804286
2016-09-25 00:18:49,157 Epoch[4] Batch [11350] Speed: 10.57 samples/sec Train-Accuracy=0.781429
2016-09-25 00:19:27,411 Epoch[4] Batch [11400] Speed: 10.46 samples/sec Train-Accuracy=0.781429
2016-09-25 00:20:05,508 Epoch[4] Batch [11450] Speed: 10.50 samples/sec Train-Accuracy=0.778571
2016-09-25 00:20:45,996 Epoch[4] Batch [11500] Speed: 9.88 samples/sec Train-Accuracy=0.771429
2016-09-25 00:21:26,108 Epoch[4] Batch [11550] Speed: 9.97 samples/sec Train-Accuracy=0.742857
2016-09-25 00:22:06,414 Epoch[4] Batch [11600] Speed: 9.92 samples/sec Train-Accuracy=0.791429
2016-09-25 00:22:46,729 Epoch[4] Batch [11650] Speed: 9.92 samples/sec Train-Accuracy=0.781429
2016-09-25 00:23:24,806 Epoch[4] Batch [11700] Speed: 10.51 samples/sec Train-Accuracy=0.761429
2016-09-25 00:24:03,570 Epoch[4] Batch [11750] Speed: 10.32 samples/sec Train-Accuracy=0.774286
2016-09-25 00:24:41,565 Epoch[4] Batch [11800] Speed: 10.53 samples/sec Train-Accuracy=0.781429
2016-09-25 00:25:19,561 Epoch[4] Batch [11850] Speed: 10.53 samples/sec Train-Accuracy=0.804286
2016-09-25 00:25:57,472 Epoch[4] Batch [11900] Speed: 10.55 samples/sec Train-Accuracy=0.768571
2016-09-25 00:26:34,647 Epoch[4] Batch [11950] Speed: 10.76 samples/sec Train-Accuracy=0.750000
2016-09-25 00:27:10,955 Epoch[4] Batch [12000] Speed: 11.02 samples/sec Train-Accuracy=0.764286
2016-09-25 00:27:50,718 Epoch[4] Batch [12050] Speed: 10.06 samples/sec Train-Accuracy=0.805714
2016-09-25 00:28:31,958 Epoch[4] Batch [12100] Speed: 9.70 samples/sec Train-Accuracy=0.784286
2016-09-25 00:29:11,219 Epoch[4] Batch [12150] Speed: 10.19 samples/sec Train-Accuracy=0.735714
2016-09-25 00:29:48,874 Epoch[4] Batch [12200] Speed: 10.62 samples/sec Train-Accuracy=0.774286
2016-09-25 00:30:27,069 Epoch[4] Batch [12250] Speed: 10.47 samples/sec Train-Accuracy=0.765714
2016-09-25 00:31:05,034 Epoch[4] Batch [12300] Speed: 10.54 samples/sec Train-Accuracy=0.781429
2016-09-25 00:31:43,696 Epoch[4] Batch [12350] Speed: 10.35 samples/sec Train-Accuracy=0.781429
2016-09-25 00:32:21,752 Epoch[4] Batch [12400] Speed: 10.51 samples/sec Train-Accuracy=0.770000
2016-09-25 00:32:59,298 Epoch[4] Batch [12450] Speed: 10.65 samples/sec Train-Accuracy=0.752857
2016-09-25 00:33:36,465 Epoch[4] Batch [12500] Speed: 10.76 samples/sec Train-Accuracy=0.792857
2016-09-25 00:34:15,384 Epoch[4] Batch [12550] Speed: 10.28 samples/sec Train-Accuracy=0.780000
2016-09-25 00:34:56,360 Epoch[4] Batch [12600] Speed: 9.76 samples/sec Train-Accuracy=0.754286
2016-09-25 00:35:35,967 Epoch[4] Batch [12650] Speed: 10.10 samples/sec Train-Accuracy=0.740000
2016-09-25 00:36:13,939 Epoch[4] Batch [12700] Speed: 10.53 samples/sec Train-Accuracy=0.764286
2016-09-25 00:36:51,549 Epoch[4] Batch [12750] Speed: 10.64 samples/sec Train-Accuracy=0.787143
2016-09-25 00:37:29,177 Epoch[4] Batch [12800] Speed: 10.63 samples/sec Train-Accuracy=0.781429
2016-09-25 00:38:06,900 Epoch[4] Batch [12850] Speed: 10.60 samples/sec Train-Accuracy=0.791429
2016-09-25 00:38:47,783 Epoch[4] Batch [12900] Speed: 9.78 samples/sec Train-Accuracy=0.751429
2016-09-25 00:39:28,242 Epoch[4] Batch [12950] Speed: 9.89 samples/sec Train-Accuracy=0.758571
2016-09-25 00:40:08,024 Epoch[4] Batch [13000] Speed: 10.05 samples/sec Train-Accuracy=0.780000
2016-09-25 00:40:47,573 Epoch[4] Batch [13050] Speed: 10.11 samples/sec Train-Accuracy=0.780000
2016-09-25 00:41:26,616 Epoch[4] Batch [13100] Speed: 10.25 samples/sec Train-Accuracy=0.775714
2016-09-25 00:42:05,206 Epoch[4] Batch [13150] Speed: 10.37 samples/sec Train-Accuracy=0.757143
2016-09-25 00:42:41,480 Epoch[4] Batch [13200] Speed: 11.03 samples/sec Train-Accuracy=0.788571
2016-09-25 00:43:17,642 Epoch[4] Batch [13250] Speed: 11.06 samples/sec Train-Accuracy=0.744286
2016-09-25 00:43:53,980 Epoch[4] Batch [13300] Speed: 11.01 samples/sec Train-Accuracy=0.745714
2016-09-25 00:44:30,215 Epoch[4] Batch [13350] Speed: 11.04 samples/sec Train-Accuracy=0.757143
2016-09-25 00:45:06,487 Epoch[4] Batch [13400] Speed: 11.03 samples/sec Train-Accuracy=0.784286
2016-09-25 00:45:42,801 Epoch[4] Batch [13450] Speed: 11.02 samples/sec Train-Accuracy=0.787143
2016-09-25 00:46:19,284 Epoch[4] Batch [13500] Speed: 10.96 samples/sec Train-Accuracy=0.767143
2016-09-25 00:46:56,031 Epoch[4] Batch [13550] Speed: 10.89 samples/sec Train-Accuracy=0.790000
2016-09-25 00:47:33,715 Epoch[4] Batch [13600] Speed: 10.61 samples/sec Train-Accuracy=0.770000
2016-09-25 00:48:11,262 Epoch[4] Batch [13650] Speed: 10.65 samples/sec Train-Accuracy=0.761429
2016-09-25 00:48:48,261 Epoch[4] Batch [13700] Speed: 10.81 samples/sec Train-Accuracy=0.795714
2016-09-25 00:49:25,019 Epoch[4] Batch [13750] Speed: 10.88 samples/sec Train-Accuracy=0.744286
2016-09-25 00:50:02,555 Epoch[4] Batch [13800] Speed: 10.66 samples/sec Train-Accuracy=0.798571
2016-09-25 00:50:39,449 Epoch[4] Batch [13850] Speed: 10.84 samples/sec Train-Accuracy=0.778571
2016-09-25 00:51:15,512 Epoch[4] Batch [13900] Speed: 11.09 samples/sec Train-Accuracy=0.740000
2016-09-25 00:51:55,405 Epoch[4] Batch [13950] Speed: 10.03 samples/sec Train-Accuracy=0.778571
2016-09-25 00:52:34,274 Epoch[4] Batch [14000] Speed: 10.29 samples/sec Train-Accuracy=0.740000
2016-09-25 00:53:10,341 Epoch[4] Batch [14050] Speed: 11.09 samples/sec Train-Accuracy=0.740000
2016-09-25 00:53:46,406 Epoch[4] Batch [14100] Speed: 11.09 samples/sec Train-Accuracy=0.780000
2016-09-25 00:54:22,601 Epoch[4] Batch [14150] Speed: 11.05 samples/sec Train-Accuracy=0.804286
2016-09-25 00:54:58,811 Epoch[4] Batch [14200] Speed: 11.05 samples/sec Train-Accuracy=0.777143
2016-09-25 00:55:34,989 Epoch[4] Batch [14250] Speed: 11.06 samples/sec Train-Accuracy=0.767143
2016-09-25 00:56:11,113 Epoch[4] Batch [14300] Speed: 11.07 samples/sec Train-Accuracy=0.751429
2016-09-25 00:56:47,283 Epoch[4] Batch [14350] Speed: 11.06 samples/sec Train-Accuracy=0.774286
2016-09-25 00:57:23,837 Epoch[4] Batch [14400] Speed: 10.94 samples/sec Train-Accuracy=0.721429
2016-09-25 00:58:02,475 Epoch[4] Batch [14450] Speed: 10.35 samples/sec Train-Accuracy=0.781429
2016-09-25 00:58:38,528 Epoch[4] Batch [14500] Speed: 11.09 samples/sec Train-Accuracy=0.755714
2016-09-25 00:59:14,834 Epoch[4] Batch [14550] Speed: 11.02 samples/sec Train-Accuracy=0.785714
2016-09-25 00:59:51,746 Epoch[4] Batch [14600] Speed: 10.84 samples/sec Train-Accuracy=0.778571
2016-09-25 01:00:29,505 Epoch[4] Batch [14650] Speed: 10.59 samples/sec Train-Accuracy=0.781429
2016-09-25 01:01:07,221 Epoch[4] Batch [14700] Speed: 10.61 samples/sec Train-Accuracy=0.751429
2016-09-25 01:01:44,433 Epoch[4] Batch [14750] Speed: 10.75 samples/sec Train-Accuracy=0.754286
2016-09-25 01:02:20,454 Epoch[4] Batch [14800] Speed: 11.10 samples/sec Train-Accuracy=0.775714
2016-09-25 01:02:56,791 Epoch[4] Batch [14850] Speed: 11.01 samples/sec Train-Accuracy=0.790000
2016-09-25 01:03:34,185 Epoch[4] Batch [14900] Speed: 10.70 samples/sec Train-Accuracy=0.792857
2016-09-25 01:04:10,522 Epoch[4] Batch [14950] Speed: 11.01 samples/sec Train-Accuracy=0.760000
2016-09-25 01:04:46,708 Epoch[4] Batch [15000] Speed: 11.05 samples/sec Train-Accuracy=0.767143
2016-09-25 01:05:23,027 Epoch[4] Batch [15050] Speed: 11.01 samples/sec Train-Accuracy=0.761429
2016-09-25 01:05:59,229 Epoch[4] Batch [15100] Speed: 11.05 samples/sec Train-Accuracy=0.787143
2016-09-25 01:06:35,368 Epoch[4] Batch [15150] Speed: 11.07 samples/sec Train-Accuracy=0.784286
2016-09-25 01:07:11,579 Epoch[4] Batch [15200] Speed: 11.05 samples/sec Train-Accuracy=0.750000
2016-09-25 01:07:48,321 Epoch[4] Batch [15250] Speed: 10.89 samples/sec Train-Accuracy=0.742857
2016-09-25 01:08:30,791 Epoch[4] Batch [15300] Speed: 9.42 samples/sec Train-Accuracy=0.752857
2016-09-25 01:09:12,744 Epoch[4] Batch [15350] Speed: 9.53 samples/sec Train-Accuracy=0.741429
2016-09-25 01:09:56,248 Epoch[4] Batch [15400] Speed: 9.19 samples/sec Train-Accuracy=0.782857
2016-09-25 01:10:34,017 Epoch[4] Batch [15450] Speed: 10.59 samples/sec Train-Accuracy=0.804286
2016-09-25 01:11:10,184 Epoch[4] Batch [15500] Speed: 11.06 samples/sec Train-Accuracy=0.787143
2016-09-25 01:11:46,389 Epoch[4] Batch [15550] Speed: 11.05 samples/sec Train-Accuracy=0.775714
2016-09-25 01:12:22,508 Epoch[4] Batch [15600] Speed: 11.07 samples/sec Train-Accuracy=0.737143
2016-09-25 01:12:58,605 Epoch[4] Batch [15650] Speed: 11.08 samples/sec Train-Accuracy=0.745714
2016-09-25 01:13:34,764 Epoch[4] Batch [15700] Speed: 11.06 samples/sec Train-Accuracy=0.767143
2016-09-25 01:14:10,882 Epoch[4] Batch [15750] Speed: 11.07 samples/sec Train-Accuracy=0.760000
2016-09-25 01:14:46,953 Epoch[4] Batch [15800] Speed: 11.09 samples/sec Train-Accuracy=0.754286
2016-09-25 01:15:23,165 Epoch[4] Batch [15850] Speed: 11.05 samples/sec Train-Accuracy=0.778571
2016-09-25 01:15:59,359 Epoch[4] Batch [15900] Speed: 11.05 samples/sec Train-Accuracy=0.782857
2016-09-25 01:16:37,780 Epoch[4] Batch [15950] Speed: 10.41 samples/sec Train-Accuracy=0.754286
2016-09-25 01:17:14,293 Epoch[4] Batch [16000] Speed: 10.96 samples/sec Train-Accuracy=0.787143
2016-09-25 01:17:50,393 Epoch[4] Batch [16050] Speed: 11.08 samples/sec Train-Accuracy=0.832857
2016-09-25 01:18:26,644 Epoch[4] Batch [16100] Speed: 11.03 samples/sec Train-Accuracy=0.787143
2016-09-25 01:19:02,847 Epoch[4] Batch [16150] Speed: 11.05 samples/sec Train-Accuracy=0.780000
2016-09-25 01:19:38,933 Epoch[4] Batch [16200] Speed: 11.08 samples/sec Train-Accuracy=0.772857
2016-09-25 01:20:15,523 Epoch[4] Batch [16250] Speed: 10.93 samples/sec Train-Accuracy=0.781429
2016-09-25 01:20:52,390 Epoch[4] Batch [16300] Speed: 10.85 samples/sec Train-Accuracy=0.754286
2016-09-25 01:21:28,613 Epoch[4] Batch [16350] Speed: 11.04 samples/sec Train-Accuracy=0.750000
2016-09-25 01:22:06,371 Epoch[4] Batch [16400] Speed: 10.59 samples/sec Train-Accuracy=0.747143
2016-09-25 01:22:42,608 Epoch[4] Batch [16450] Speed: 11.04 samples/sec Train-Accuracy=0.767143
2016-09-25 01:23:18,909 Epoch[4] Batch [16500] Speed: 11.02 samples/sec Train-Accuracy=0.792857
2016-09-25 01:23:55,209 Epoch[4] Batch [16550] Speed: 11.02 samples/sec Train-Accuracy=0.787143
2016-09-25 01:24:31,517 Epoch[4] Batch [16600] Speed: 11.02 samples/sec Train-Accuracy=0.742857
2016-09-25 01:25:07,817 Epoch[4] Batch [16650] Speed: 11.02 samples/sec Train-Accuracy=0.758571
2016-09-25 01:25:44,068 Epoch[4] Batch [16700] Speed: 11.03 samples/sec Train-Accuracy=0.781429
2016-09-25 01:26:20,390 Epoch[4] Batch [16750] Speed: 11.01 samples/sec Train-Accuracy=0.780000
2016-09-25 01:26:56,773 Epoch[4] Batch [16800] Speed: 10.99 samples/sec Train-Accuracy=0.794286
2016-09-25 01:27:36,724 Epoch[4] Batch [16850] Speed: 10.01 samples/sec Train-Accuracy=0.772857
2016-09-25 01:28:13,464 Epoch[4] Batch [16900] Speed: 10.89 samples/sec Train-Accuracy=0.780000
2016-09-25 01:28:49,867 Epoch[4] Batch [16950] Speed: 10.99 samples/sec Train-Accuracy=0.747143
2016-09-25 01:29:27,990 Epoch[4] Batch [17000] Speed: 10.49 samples/sec Train-Accuracy=0.801429
2016-09-25 01:30:04,295 Epoch[4] Batch [17050] Speed: 11.02 samples/sec Train-Accuracy=0.791429
2016-09-25 01:30:42,087 Epoch[4] Batch [17100] Speed: 10.58 samples/sec Train-Accuracy=0.765714
2016-09-25 01:31:18,264 Epoch[4] Batch [17150] Speed: 11.06 samples/sec Train-Accuracy=0.807143
2016-09-25 01:31:54,375 Epoch[4] Batch [17200] Speed: 11.08 samples/sec Train-Accuracy=0.784286
2016-09-25 01:32:32,316 Epoch[4] Batch [17250] Speed: 10.54 samples/sec Train-Accuracy=0.754286
2016-09-25 01:33:09,081 Epoch[4] Batch [17300] Speed: 10.88 samples/sec Train-Accuracy=0.782857
2016-09-25 01:33:45,208 Epoch[4] Batch [17350] Speed: 11.07 samples/sec Train-Accuracy=0.747143
2016-09-25 01:34:21,366 Epoch[4] Batch [17400] Speed: 11.06 samples/sec Train-Accuracy=0.784286
2016-09-25 01:34:57,594 Epoch[4] Batch [17450] Speed: 11.04 samples/sec Train-Accuracy=0.775714
2016-09-25 01:35:40,271 Epoch[4] Batch [17500] Speed: 9.37 samples/sec Train-Accuracy=0.754286
2016-09-25 01:36:22,439 Epoch[4] Batch [17550] Speed: 9.49 samples/sec Train-Accuracy=0.795714
2016-09-25 01:37:04,642 Epoch[4] Batch [17600] Speed: 9.48 samples/sec Train-Accuracy=0.787143
2016-09-25 01:37:46,840 Epoch[4] Batch [17650] Speed: 9.48 samples/sec Train-Accuracy=0.808571
2016-09-25 01:38:26,780 Epoch[4] Batch [17700] Speed: 10.02 samples/sec Train-Accuracy=0.781429
2016-09-25 01:39:03,004 Epoch[4] Batch [17750] Speed: 11.04 samples/sec Train-Accuracy=0.774286
2016-09-25 01:39:39,103 Epoch[4] Batch [17800] Speed: 11.08 samples/sec Train-Accuracy=0.777143
2016-09-25 01:40:15,321 Epoch[4] Batch [17850] Speed: 11.04 samples/sec Train-Accuracy=0.794286
2016-09-25 01:40:51,565 Epoch[4] Batch [17900] Speed: 11.04 samples/sec Train-Accuracy=0.767143
2016-09-25 01:41:27,755 Epoch[4] Batch [17950] Speed: 11.05 samples/sec Train-Accuracy=0.778571
2016-09-25 01:42:04,035 Epoch[4] Batch [18000] Speed: 11.03 samples/sec Train-Accuracy=0.765714
2016-09-25 01:42:40,315 Epoch[4] Batch [18050] Speed: 11.03 samples/sec Train-Accuracy=0.811429
2016-09-25 01:43:16,658 Epoch[4] Batch [18100] Speed: 11.01 samples/sec Train-Accuracy=0.775714
2016-09-25 01:43:53,085 Epoch[4] Batch [18150] Speed: 10.98 samples/sec Train-Accuracy=0.764286
2016-09-25 01:44:29,652 Epoch[4] Batch [18200] Speed: 10.94 samples/sec Train-Accuracy=0.770000
2016-09-25 01:45:06,215 Epoch[4] Batch [18250] Speed: 10.94 samples/sec Train-Accuracy=0.757143
2016-09-25 01:45:42,837 Epoch[4] Batch [18300] Speed: 10.92 samples/sec Train-Accuracy=0.760000
2016-09-25 01:46:19,361 Epoch[4] Batch [18350] Speed: 10.95 samples/sec Train-Accuracy=0.760000
2016-09-25 01:46:55,916 Epoch[4] Batch [18400] Speed: 10.94 samples/sec Train-Accuracy=0.797143
2016-09-25 01:47:32,464 Epoch[4] Batch [18450] Speed: 10.94 samples/sec Train-Accuracy=0.817143
2016-09-25 01:48:09,526 Epoch[4] Batch [18500] Speed: 10.79 samples/sec Train-Accuracy=0.765714
2016-09-25 01:48:46,591 Epoch[4] Batch [18550] Speed: 10.79 samples/sec Train-Accuracy=0.765714
2016-09-25 01:49:23,055 Epoch[4] Batch [18600] Speed: 10.97 samples/sec Train-Accuracy=0.774286
2016-09-25 01:49:59,529 Epoch[4] Batch [18650] Speed: 10.97 samples/sec Train-Accuracy=0.748571
2016-09-25 01:50:36,160 Epoch[4] Batch [18700] Speed: 10.92 samples/sec Train-Accuracy=0.812857
2016-09-25 01:51:12,791 Epoch[4] Batch [18750] Speed: 10.92 samples/sec Train-Accuracy=0.791429
2016-09-25 01:51:49,410 Epoch[4] Batch [18800] Speed: 10.92 samples/sec Train-Accuracy=0.782857
2016-09-25 01:52:26,179 Epoch[4] Batch [18850] Speed: 10.88 samples/sec Train-Accuracy=0.785714
2016-09-25 01:53:03,389 Epoch[4] Batch [18900] Speed: 10.75 samples/sec Train-Accuracy=0.764286
2016-09-25 01:53:44,869 Epoch[4] Batch [18950] Speed: 9.64 samples/sec Train-Accuracy=0.734286
2016-09-25 01:54:27,818 Epoch[4] Batch [19000] Speed: 9.31 samples/sec Train-Accuracy=0.780000
2016-09-25 01:55:10,566 Epoch[4] Batch [19050] Speed: 9.36 samples/sec Train-Accuracy=0.775714
2016-09-25 01:55:53,465 Epoch[4] Batch [19100] Speed: 9.32 samples/sec Train-Accuracy=0.765714
2016-09-25 01:56:36,323 Epoch[4] Batch [19150] Speed: 9.33 samples/sec Train-Accuracy=0.757143
2016-09-25 01:57:13,488 Epoch[4] Batch [19200] Speed: 10.76 samples/sec Train-Accuracy=0.801429
2016-09-25 01:57:49,750 Epoch[4] Batch [19250] Speed: 11.03 samples/sec Train-Accuracy=0.801429
2016-09-25 01:58:30,182 Epoch[4] Batch [19300] Speed: 9.89 samples/sec Train-Accuracy=0.797143
2016-09-25 01:59:12,447 Epoch[4] Batch [19350] Speed: 9.46 samples/sec Train-Accuracy=0.787143
2016-09-25 01:59:51,299 Epoch[4] Batch [19400] Speed: 10.30 samples/sec Train-Accuracy=0.788571
2016-09-25 02:00:27,617 Epoch[4] Batch [19450] Speed: 11.01 samples/sec Train-Accuracy=0.767143
2016-09-25 02:01:03,825 Epoch[4] Batch [19500] Speed: 11.05 samples/sec Train-Accuracy=0.764286
2016-09-25 02:01:39,949 Epoch[4] Batch [19550] Speed: 11.07 samples/sec Train-Accuracy=0.771429
2016-09-25 02:02:16,040 Epoch[4] Batch [19600] Speed: 11.08 samples/sec Train-Accuracy=0.764286
2016-09-25 02:02:52,208 Epoch[4] Batch [19650] Speed: 11.06 samples/sec Train-Accuracy=0.774286
2016-09-25 02:03:28,253 Epoch[4] Batch [19700] Speed: 11.10 samples/sec Train-Accuracy=0.792857
2016-09-25 02:04:04,342 Epoch[4] Batch [19750] Speed: 11.08 samples/sec Train-Accuracy=0.754286
2016-09-25 02:04:40,431 Epoch[4] Batch [19800] Speed: 11.08 samples/sec Train-Accuracy=0.762857
2016-09-25 02:05:16,482 Epoch[4] Batch [19850] Speed: 11.10 samples/sec Train-Accuracy=0.802857
2016-09-25 02:05:52,488 Epoch[4] Batch [19900] Speed: 11.11 samples/sec Train-Accuracy=0.741429
2016-09-25 02:06:28,571 Epoch[4] Batch [19950] Speed: 11.09 samples/sec Train-Accuracy=0.771429
2016-09-25 02:07:04,750 Epoch[4] Batch [20000] Speed: 11.06 samples/sec Train-Accuracy=0.777143
2016-09-25 02:07:40,753 Epoch[4] Batch [20050] Speed: 11.11 samples/sec Train-Accuracy=0.791429
2016-09-25 02:08:16,846 Epoch[4] Batch [20100] Speed: 11.08 samples/sec Train-Accuracy=0.770000
2016-09-25 02:08:52,917 Epoch[4] Batch [20150] Speed: 11.09 samples/sec Train-Accuracy=0.782857
2016-09-25 02:09:28,958 Epoch[4] Batch [20200] Speed: 11.10 samples/sec Train-Accuracy=0.775714
2016-09-25 02:10:05,025 Epoch[4] Batch [20250] Speed: 11.09 samples/sec Train-Accuracy=0.784286
2016-09-25 02:10:43,758 Epoch[4] Batch [20300] Speed: 10.33 samples/sec Train-Accuracy=0.784286
2016-09-25 02:11:25,948 Epoch[4] Batch [20350] Speed: 9.48 samples/sec Train-Accuracy=0.808571
2016-09-25 02:12:07,682 Epoch[4] Batch [20400] Speed: 9.58 samples/sec Train-Accuracy=0.771429
2016-09-25 02:12:46,844 Epoch[4] Batch [20450] Speed: 10.21 samples/sec Train-Accuracy=0.757143
2016-09-25 02:13:22,892 Epoch[4] Batch [20500] Speed: 11.10 samples/sec Train-Accuracy=0.757143
2016-09-25 02:13:59,043 Epoch[4] Batch [20550] Speed: 11.06 samples/sec Train-Accuracy=0.800000
2016-09-25 02:14:35,232 Epoch[4] Batch [20600] Speed: 11.05 samples/sec Train-Accuracy=0.752857
2016-09-25 02:15:11,345 Epoch[4] Batch [20650] Speed: 11.08 samples/sec Train-Accuracy=0.792857
2016-09-25 02:15:47,420 Epoch[4] Batch [20700] Speed: 11.09 samples/sec Train-Accuracy=0.802857
2016-09-25 02:16:23,449 Epoch[4] Batch [20750] Speed: 11.10 samples/sec Train-Accuracy=0.772857
2016-09-25 02:16:59,464 Epoch[4] Batch [20800] Speed: 11.11 samples/sec Train-Accuracy=0.778571
2016-09-25 02:17:35,550 Epoch[4] Batch [20850] Speed: 11.08 samples/sec Train-Accuracy=0.767143
2016-09-25 02:18:11,603 Epoch[4] Batch [20900] Speed: 11.09 samples/sec Train-Accuracy=0.765714
2016-09-25 02:18:47,656 Epoch[4] Batch [20950] Speed: 11.09 samples/sec Train-Accuracy=0.765714
2016-09-25 02:19:23,763 Epoch[4] Batch [21000] Speed: 11.08 samples/sec Train-Accuracy=0.801429
2016-09-25 02:19:59,871 Epoch[4] Batch [21050] Speed: 11.08 samples/sec Train-Accuracy=0.808571
2016-09-25 02:20:35,939 Epoch[4] Batch [21100] Speed: 11.09 samples/sec Train-Accuracy=0.797143
2016-09-25 02:21:11,933 Epoch[4] Batch [21150] Speed: 11.11 samples/sec Train-Accuracy=0.754286
2016-09-25 02:21:47,950 Epoch[4] Batch [21200] Speed: 11.11 samples/sec Train-Accuracy=0.780000
2016-09-25 02:22:23,987 Epoch[4] Batch [21250] Speed: 11.10 samples/sec Train-Accuracy=0.778571
2016-09-25 02:22:59,980 Epoch[4] Batch [21300] Speed: 11.11 samples/sec Train-Accuracy=0.817143
2016-09-25 02:23:36,028 Epoch[4] Batch [21350] Speed: 11.10 samples/sec Train-Accuracy=0.787143
2016-09-25 02:24:12,057 Epoch[4] Batch [21400] Speed: 11.10 samples/sec Train-Accuracy=0.782857
2016-09-25 02:24:48,046 Epoch[4] Batch [21450] Speed: 11.11 samples/sec Train-Accuracy=0.750000
2016-09-25 02:25:24,068 Epoch[4] Batch [21500] Speed: 11.10 samples/sec Train-Accuracy=0.815714
2016-09-25 02:26:00,128 Epoch[4] Batch [21550] Speed: 11.09 samples/sec Train-Accuracy=0.754286
2016-09-25 02:26:40,116 Epoch[4] Batch [21600] Speed: 10.00 samples/sec Train-Accuracy=0.771429
2016-09-25 02:27:21,871 Epoch[4] Batch [21650] Speed: 9.58 samples/sec Train-Accuracy=0.771429
2016-09-25 02:28:00,589 Epoch[4] Batch [21700] Speed: 10.33 samples/sec Train-Accuracy=0.761429
2016-09-25 02:28:36,576 Epoch[4] Batch [21750] Speed: 11.12 samples/sec Train-Accuracy=0.817143
2016-09-25 02:29:12,556 Epoch[4] Batch [21800] Speed: 11.12 samples/sec Train-Accuracy=0.787143
2016-09-25 02:29:48,748 Epoch[4] Batch [21850] Speed: 11.05 samples/sec Train-Accuracy=0.768571
2016-09-25 02:30:24,820 Epoch[4] Batch [21900] Speed: 11.09 samples/sec Train-Accuracy=0.787143
2016-09-25 02:31:00,881 Epoch[4] Batch [21950] Speed: 11.09 samples/sec Train-Accuracy=0.755714
2016-09-25 02:31:36,801 Epoch[4] Batch [22000] Speed: 11.14 samples/sec Train-Accuracy=0.808571
2016-09-25 02:32:12,746 Epoch[4] Batch [22050] Speed: 11.13 samples/sec Train-Accuracy=0.745714
2016-09-25 02:32:51,271 Epoch[4] Batch [22100] Speed: 10.38 samples/sec Train-Accuracy=0.774286
2016-09-25 02:33:27,216 Epoch[4] Batch [22150] Speed: 11.13 samples/sec Train-Accuracy=0.780000
2016-09-25 02:34:03,050 Epoch[4] Batch [22200] Speed: 11.16 samples/sec Train-Accuracy=0.794286
2016-09-25 02:34:38,952 Epoch[4] Batch [22250] Speed: 11.14 samples/sec Train-Accuracy=0.771429
2016-09-25 02:35:14,901 Epoch[4] Batch [22300] Speed: 11.13 samples/sec Train-Accuracy=0.775714
2016-09-25 02:35:50,954 Epoch[4] Batch [22350] Speed: 11.09 samples/sec Train-Accuracy=0.761429
2016-09-25 02:36:26,962 Epoch[4] Batch [22400] Speed: 11.11 samples/sec Train-Accuracy=0.801429
2016-09-25 02:37:03,079 Epoch[4] Batch [22450] Speed: 11.08 samples/sec Train-Accuracy=0.788571
2016-09-25 02:37:39,145 Epoch[4] Batch [22500] Speed: 11.09 samples/sec Train-Accuracy=0.755714
2016-09-25 02:38:15,206 Epoch[4] Batch [22550] Speed: 11.09 samples/sec Train-Accuracy=0.745714
2016-09-25 02:38:51,496 Epoch[4] Batch [22600] Speed: 11.02 samples/sec Train-Accuracy=0.781429
2016-09-25 02:39:27,565 Epoch[4] Batch [22650] Speed: 11.09 samples/sec Train-Accuracy=0.787143
2016-09-25 02:40:03,548 Epoch[4] Batch [22700] Speed: 11.12 samples/sec Train-Accuracy=0.737143
2016-09-25 02:40:39,617 Epoch[4] Batch [22750] Speed: 11.09 samples/sec Train-Accuracy=0.768571
2016-09-25 02:41:15,672 Epoch[4] Batch [22800] Speed: 11.09 samples/sec Train-Accuracy=0.748571
2016-09-25 02:41:51,688 Epoch[4] Batch [22850] Speed: 11.11 samples/sec Train-Accuracy=0.794286
2016-09-25 02:42:27,720 Epoch[4] Batch [22900] Speed: 11.10 samples/sec Train-Accuracy=0.767143
2016-09-25 02:43:03,776 Epoch[4] Batch [22950] Speed: 11.09 samples/sec Train-Accuracy=0.735714
2016-09-25 02:43:39,825 Epoch[4] Batch [23000] Speed: 11.10 samples/sec Train-Accuracy=0.784286
2016-09-25 02:44:15,877 Epoch[4] Batch [23050] Speed: 11.10 samples/sec Train-Accuracy=0.794286
2016-09-25 02:44:51,904 Epoch[4] Batch [23100] Speed: 11.10 samples/sec Train-Accuracy=0.794286
2016-09-25 02:45:27,989 Epoch[4] Batch [23150] Speed: 11.08 samples/sec Train-Accuracy=0.827143
2016-09-25 02:46:09,598 Epoch[4] Batch [23200] Speed: 9.61 samples/sec Train-Accuracy=0.758571
2016-09-25 02:46:51,160 Epoch[4] Batch [23250] Speed: 9.62 samples/sec Train-Accuracy=0.770000
2016-09-25 02:47:32,790 Epoch[4] Batch [23300] Speed: 9.61 samples/sec Train-Accuracy=0.815714
2016-09-25 02:48:09,815 Epoch[4] Batch [23350] Speed: 10.80 samples/sec Train-Accuracy=0.771429
2016-09-25 02:48:48,964 Epoch[4] Batch [23400] Speed: 10.22 samples/sec Train-Accuracy=0.761429
2016-09-25 02:49:26,087 Epoch[4] Batch [23450] Speed: 10.78 samples/sec Train-Accuracy=0.752857
2016-09-25 02:50:02,446 Epoch[4] Batch [23500] Speed: 11.00 samples/sec Train-Accuracy=0.762857
2016-09-25 02:50:42,517 Epoch[4] Batch [23550] Speed: 9.98 samples/sec Train-Accuracy=0.802857
2016-09-25 02:51:22,716 Epoch[4] Batch [23600] Speed: 9.95 samples/sec Train-Accuracy=0.787143
2016-09-25 02:51:58,785 Epoch[4] Batch [23650] Speed: 11.09 samples/sec Train-Accuracy=0.780000
2016-09-25 02:52:34,811 Epoch[4] Batch [23700] Speed: 11.10 samples/sec Train-Accuracy=0.790000
2016-09-25 02:53:10,898 Epoch[4] Batch [23750] Speed: 11.08 samples/sec Train-Accuracy=0.797143
2016-09-25 02:53:46,957 Epoch[4] Batch [23800] Speed: 11.09 samples/sec Train-Accuracy=0.791429
2016-09-25 02:54:23,005 Epoch[4] Batch [23850] Speed: 11.10 samples/sec Train-Accuracy=0.784286
2016-09-25 02:54:59,062 Epoch[4] Batch [23900] Speed: 11.09 samples/sec Train-Accuracy=0.800000
2016-09-25 02:55:35,106 Epoch[4] Batch [23950] Speed: 11.10 samples/sec Train-Accuracy=0.775714
2016-09-25 02:56:11,551 Epoch[4] Batch [24000] Speed: 10.98 samples/sec Train-Accuracy=0.770000
2016-09-25 02:56:48,181 Epoch[4] Batch [24050] Speed: 10.92 samples/sec Train-Accuracy=0.750000
2016-09-25 02:57:24,530 Epoch[4] Batch [24100] Speed: 11.00 samples/sec Train-Accuracy=0.758571
2016-09-25 02:58:00,597 Epoch[4] Batch [24150] Speed: 11.09 samples/sec Train-Accuracy=0.794286
2016-09-25 02:58:36,647 Epoch[4] Batch [24200] Speed: 11.10 samples/sec Train-Accuracy=0.754286
2016-09-25 02:59:12,645 Epoch[4] Batch [24250] Speed: 11.11 samples/sec Train-Accuracy=0.780000
2016-09-25 02:59:48,756 Epoch[4] Batch [24300] Speed: 11.08 samples/sec Train-Accuracy=0.738571
2016-09-25 03:00:29,419 Epoch[4] Batch [24350] Speed: 9.84 samples/sec Train-Accuracy=0.747143
2016-09-25 03:01:07,306 Epoch[4] Batch [24400] Speed: 10.56 samples/sec Train-Accuracy=0.782857
2016-09-25 03:01:45,756 Epoch[4] Batch [24450] Speed: 10.40 samples/sec Train-Accuracy=0.780000
2016-09-25 03:02:23,789 Epoch[4] Batch [24500] Speed: 10.52 samples/sec Train-Accuracy=0.768571
2016-09-25 03:03:02,105 Epoch[4] Batch [24550] Speed: 10.44 samples/sec Train-Accuracy=0.777143
2016-09-25 03:03:40,023 Epoch[4] Batch [24600] Speed: 10.55 samples/sec Train-Accuracy=0.788571
2016-09-25 03:04:17,835 Epoch[4] Batch [24650] Speed: 10.58 samples/sec Train-Accuracy=0.768571
2016-09-25 03:04:55,687 Epoch[4] Batch [24700] Speed: 10.57 samples/sec Train-Accuracy=0.784286
2016-09-25 03:05:34,872 Epoch[4] Batch [24750] Speed: 10.21 samples/sec Train-Accuracy=0.797143
2016-09-25 03:06:16,472 Epoch[4] Batch [24800] Speed: 9.62 samples/sec Train-Accuracy=0.782857
2016-09-25 03:06:57,412 Epoch[4] Batch [24850] Speed: 9.77 samples/sec Train-Accuracy=0.780000
2016-09-25 03:07:37,873 Epoch[4] Batch [24900] Speed: 9.89 samples/sec Train-Accuracy=0.782857
2016-09-25 03:08:17,426 Epoch[4] Batch [24950] Speed: 10.11 samples/sec Train-Accuracy=0.765714
2016-09-25 03:08:56,143 Epoch[4] Batch [25000] Speed: 10.33 samples/sec Train-Accuracy=0.788571
2016-09-25 03:09:36,650 Epoch[4] Batch [25050] Speed: 9.87 samples/sec Train-Accuracy=0.804286
2016-09-25 03:10:18,630 Epoch[4] Batch [25100] Speed: 9.53 samples/sec Train-Accuracy=0.792857
2016-09-25 03:11:00,287 Epoch[4] Batch [25150] Speed: 9.60 samples/sec Train-Accuracy=0.751429
2016-09-25 03:11:41,153 Epoch[4] Batch [25200] Speed: 9.79 samples/sec Train-Accuracy=0.782857
2016-09-25 03:12:20,322 Epoch[4] Batch [25250] Speed: 10.21 samples/sec Train-Accuracy=0.801429
2016-09-25 03:13:02,530 Epoch[4] Batch [25300] Speed: 9.48 samples/sec Train-Accuracy=0.777143
2016-09-25 03:13:41,668 Epoch[4] Batch [25350] Speed: 10.22 samples/sec Train-Accuracy=0.734286
2016-09-25 03:14:20,769 Epoch[4] Batch [25400] Speed: 10.23 samples/sec Train-Accuracy=0.780000
2016-09-25 03:15:00,332 Epoch[4] Batch [25450] Speed: 10.11 samples/sec Train-Accuracy=0.781429
2016-09-25 03:15:36,566 Epoch[4] Batch [25500] Speed: 11.04 samples/sec Train-Accuracy=0.778571
2016-09-25 03:16:12,749 Epoch[4] Batch [25550] Speed: 11.06 samples/sec Train-Accuracy=0.770000
2016-09-25 03:16:51,225 Epoch[4] Batch [25600] Speed: 10.40 samples/sec Train-Accuracy=0.790000
2016-09-25 03:17:31,443 Epoch[4] Batch [25650] Speed: 9.95 samples/sec Train-Accuracy=0.740000
2016-09-25 03:18:07,545 Epoch[4] Batch [25700] Speed: 11.08 samples/sec Train-Accuracy=0.800000
2016-09-25 03:18:43,611 Epoch[4] Batch [25750] Speed: 11.09 samples/sec Train-Accuracy=0.771429
2016-09-25 03:19:19,790 Epoch[4] Batch [25800] Speed: 11.06 samples/sec Train-Accuracy=0.732857
2016-09-25 03:19:55,922 Epoch[4] Batch [25850] Speed: 11.07 samples/sec Train-Accuracy=0.760000
2016-09-25 03:20:32,070 Epoch[4] Batch [25900] Speed: 11.07 samples/sec Train-Accuracy=0.804286
2016-09-25 03:21:08,133 Epoch[4] Batch [25950] Speed: 11.09 samples/sec Train-Accuracy=0.784286
2016-09-25 03:21:44,210 Epoch[4] Batch [26000] Speed: 11.09 samples/sec Train-Accuracy=0.744286
2016-09-25 03:22:20,233 Epoch[4] Batch [26050] Speed: 11.10 samples/sec Train-Accuracy=0.792857
2016-09-25 03:22:56,346 Epoch[4] Batch [26100] Speed: 11.08 samples/sec Train-Accuracy=0.762857
2016-09-25 03:23:32,399 Epoch[4] Batch [26150] Speed: 11.10 samples/sec Train-Accuracy=0.790000
2016-09-25 03:24:08,564 Epoch[4] Batch [26200] Speed: 11.06 samples/sec Train-Accuracy=0.771429
2016-09-25 03:24:44,733 Epoch[4] Batch [26250] Speed: 11.06 samples/sec Train-Accuracy=0.795714
2016-09-25 03:25:21,071 Epoch[4] Batch [26300] Speed: 11.01 samples/sec Train-Accuracy=0.770000
2016-09-25 03:25:57,169 Epoch[4] Batch [26350] Speed: 11.08 samples/sec Train-Accuracy=0.757143
2016-09-25 03:26:33,364 Epoch[4] Batch [26400] Speed: 11.05 samples/sec Train-Accuracy=0.770000
2016-09-25 03:27:09,474 Epoch[4] Batch [26450] Speed: 11.08 samples/sec Train-Accuracy=0.785714
2016-09-25 03:27:45,567 Epoch[4] Batch [26500] Speed: 11.08 samples/sec Train-Accuracy=0.738571
2016-09-25 03:28:25,840 Epoch[4] Batch [26550] Speed: 9.93 samples/sec Train-Accuracy=0.777143
2016-09-25 03:29:04,086 Epoch[4] Batch [26600] Speed: 10.46 samples/sec Train-Accuracy=0.810000
2016-09-25 03:29:40,262 Epoch[4] Batch [26650] Speed: 11.06 samples/sec Train-Accuracy=0.757143
2016-09-25 03:30:16,305 Epoch[4] Batch [26700] Speed: 11.10 samples/sec Train-Accuracy=0.758571
2016-09-25 03:30:52,368 Epoch[4] Batch [26750] Speed: 11.09 samples/sec Train-Accuracy=0.772857
2016-09-25 03:31:28,512 Epoch[4] Batch [26800] Speed: 11.07 samples/sec Train-Accuracy=0.808571
2016-09-25 03:32:04,706 Epoch[4] Batch [26850] Speed: 11.05 samples/sec Train-Accuracy=0.794286
2016-09-25 03:32:41,333 Epoch[4] Batch [26900] Speed: 10.92 samples/sec Train-Accuracy=0.780000
2016-09-25 03:33:18,306 Epoch[4] Batch [26950] Speed: 10.82 samples/sec Train-Accuracy=0.785714
2016-09-25 03:33:54,611 Epoch[4] Batch [27000] Speed: 11.02 samples/sec Train-Accuracy=0.795714
2016-09-25 03:34:33,153 Epoch[4] Batch [27050] Speed: 10.38 samples/sec Train-Accuracy=0.784286
2016-09-25 03:35:14,924 Epoch[4] Batch [27100] Speed: 9.58 samples/sec Train-Accuracy=0.774286
2016-09-25 03:35:56,666 Epoch[4] Batch [27150] Speed: 9.58 samples/sec Train-Accuracy=0.782857
2016-09-25 03:36:32,729 Epoch[4] Batch [27200] Speed: 11.09 samples/sec Train-Accuracy=0.787143
2016-09-25 03:37:08,856 Epoch[4] Batch [27250] Speed: 11.07 samples/sec Train-Accuracy=0.790000
2016-09-25 03:37:44,992 Epoch[4] Batch [27300] Speed: 11.07 samples/sec Train-Accuracy=0.771429
2016-09-25 03:38:22,263 Epoch[4] Batch [27350] Speed: 10.73 samples/sec Train-Accuracy=0.771429
2016-09-25 03:38:59,948 Epoch[4] Batch [27400] Speed: 10.61 samples/sec Train-Accuracy=0.762857
2016-09-25 03:39:37,658 Epoch[4] Batch [27450] Speed: 10.61 samples/sec Train-Accuracy=0.790000
2016-09-25 03:40:15,078 Epoch[4] Batch [27500] Speed: 10.69 samples/sec Train-Accuracy=0.760000
2016-09-25 03:40:51,847 Epoch[4] Batch [27550] Speed: 10.88 samples/sec Train-Accuracy=0.750000
2016-09-25 03:41:28,005 Epoch[4] Batch [27600] Speed: 11.06 samples/sec Train-Accuracy=0.777143
2016-09-25 03:42:09,201 Epoch[4] Batch [27650] Speed: 9.71 samples/sec Train-Accuracy=0.767143
2016-09-25 03:42:50,455 Epoch[4] Batch [27700] Speed: 9.70 samples/sec Train-Accuracy=0.777143
2016-09-25 03:43:30,056 Epoch[4] Batch [27750] Speed: 10.10 samples/sec Train-Accuracy=0.765714
2016-09-25 03:44:10,664 Epoch[4] Batch [27800] Speed: 9.85 samples/sec Train-Accuracy=0.765714
2016-09-25 03:44:50,427 Epoch[4] Batch [27850] Speed: 10.06 samples/sec Train-Accuracy=0.790000
2016-09-25 03:45:30,197 Epoch[4] Batch [27900] Speed: 10.06 samples/sec Train-Accuracy=0.777143
2016-09-25 03:46:12,155 Epoch[4] Batch [27950] Speed: 9.53 samples/sec Train-Accuracy=0.784286
2016-09-25 03:46:53,427 Epoch[4] Batch [28000] Speed: 9.69 samples/sec Train-Accuracy=0.754286
2016-09-25 03:47:30,364 Epoch[4] Batch [28050] Speed: 10.83 samples/sec Train-Accuracy=0.792857
2016-09-25 03:48:07,486 Epoch[4] Batch [28100] Speed: 10.78 samples/sec Train-Accuracy=0.772857
2016-09-25 03:48:44,412 Epoch[4] Batch [28150] Speed: 10.83 samples/sec Train-Accuracy=0.765714
2016-09-25 03:49:21,275 Epoch[4] Batch [28200] Speed: 10.85 samples/sec Train-Accuracy=0.780000
2016-09-25 03:50:00,472 Epoch[4] Batch [28250] Speed: 10.20 samples/sec Train-Accuracy=0.781429
2016-09-25 03:50:41,096 Epoch[4] Batch [28300] Speed: 9.85 samples/sec Train-Accuracy=0.771429
2016-09-25 03:51:23,745 Epoch[4] Batch [28350] Speed: 9.38 samples/sec Train-Accuracy=0.821429
2016-09-25 03:52:05,212 Epoch[4] Batch [28400] Speed: 9.65 samples/sec Train-Accuracy=0.767143
2016-09-25 03:52:46,411 Epoch[4] Batch [28450] Speed: 9.71 samples/sec Train-Accuracy=0.794286
2016-09-25 03:53:27,527 Epoch[4] Batch [28500] Speed: 9.73 samples/sec Train-Accuracy=0.778571
2016-09-25 03:54:10,117 Epoch[4] Batch [28550] Speed: 9.39 samples/sec Train-Accuracy=0.775714
2016-09-25 03:54:50,595 Epoch[4] Batch [28600] Speed: 9.88 samples/sec Train-Accuracy=0.767143
2016-09-25 03:55:30,688 Epoch[4] Batch [28650] Speed: 9.98 samples/sec Train-Accuracy=0.785714
2016-09-25 03:56:10,275 Epoch[4] Batch [28700] Speed: 10.10 samples/sec Train-Accuracy=0.775714
2016-09-25 03:56:51,839 Epoch[4] Batch [28750] Speed: 9.62 samples/sec Train-Accuracy=0.768571
2016-09-25 03:57:32,071 Epoch[4] Batch [28800] Speed: 9.94 samples/sec Train-Accuracy=0.728571
2016-09-25 03:58:11,920 Epoch[4] Batch [28850] Speed: 10.04 samples/sec Train-Accuracy=0.792857
2016-09-25 03:58:53,661 Epoch[4] Batch [28900] Speed: 9.58 samples/sec Train-Accuracy=0.780000
2016-09-25 03:59:35,384 Epoch[4] Batch [28950] Speed: 9.59 samples/sec Train-Accuracy=0.791429
2016-09-25 04:00:16,952 Epoch[4] Batch [29000] Speed: 9.62 samples/sec Train-Accuracy=0.774286
2016-09-25 04:00:57,200 Epoch[4] Batch [29050] Speed: 9.94 samples/sec Train-Accuracy=0.761429
2016-09-25 04:01:35,590 Epoch[4] Batch [29100] Speed: 10.42 samples/sec Train-Accuracy=0.774286
2016-09-25 04:02:15,756 Epoch[4] Batch [29150] Speed: 9.96 samples/sec Train-Accuracy=0.797143
2016-09-25 04:02:56,819 Epoch[4] Batch [29200] Speed: 9.74 samples/sec Train-Accuracy=0.741429
2016-09-25 04:03:36,455 Epoch[4] Batch [29250] Speed: 10.09 samples/sec Train-Accuracy=0.788571
2016-09-25 04:04:15,964 Epoch[4] Batch [29300] Speed: 10.12 samples/sec Train-Accuracy=0.754286
2016-09-25 04:04:56,719 Epoch[4] Batch [29350] Speed: 9.81 samples/sec Train-Accuracy=0.777143
2016-09-25 04:05:38,119 Epoch[4] Batch [29400] Speed: 9.66 samples/sec Train-Accuracy=0.780000
2016-09-25 04:06:19,159 Epoch[4] Batch [29450] Speed: 9.75 samples/sec Train-Accuracy=0.777143
2016-09-25 04:07:01,163 Epoch[4] Batch [29500] Speed: 9.52 samples/sec Train-Accuracy=0.798571
2016-09-25 04:07:40,584 Epoch[4] Batch [29550] Speed: 10.15 samples/sec Train-Accuracy=0.812857
2016-09-25 04:08:17,027 Epoch[4] Batch [29600] Speed: 10.98 samples/sec Train-Accuracy=0.785714
2016-09-25 04:08:53,146 Epoch[4] Batch [29650] Speed: 11.07 samples/sec Train-Accuracy=0.774286
2016-09-25 04:09:32,059 Epoch[4] Batch [29700] Speed: 10.28 samples/sec Train-Accuracy=0.821429
2016-09-25 04:10:12,774 Epoch[4] Batch [29750] Speed: 9.82 samples/sec Train-Accuracy=0.757143
2016-09-25 04:10:53,318 Epoch[4] Batch [29800] Speed: 9.87 samples/sec Train-Accuracy=0.767143
2016-09-25 04:11:33,999 Epoch[4] Batch [29850] Speed: 9.83 samples/sec Train-Accuracy=0.774286
2016-09-25 04:12:13,430 Epoch[4] Batch [29900] Speed: 10.14 samples/sec Train-Accuracy=0.794286
2016-09-25 04:12:51,364 Epoch[4] Batch [29950] Speed: 10.54 samples/sec Train-Accuracy=0.752857
2016-09-25 04:13:29,350 Epoch[4] Batch [30000] Speed: 10.53 samples/sec Train-Accuracy=0.728571
2016-09-25 04:14:06,710 Epoch[4] Batch [30050] Speed: 10.71 samples/sec Train-Accuracy=0.790000
2016-09-25 04:14:43,352 Epoch[4] Batch [30100] Speed: 10.92 samples/sec Train-Accuracy=0.781429
2016-09-25 04:15:19,662 Epoch[4] Batch [30150] Speed: 11.02 samples/sec Train-Accuracy=0.817143
2016-09-25 04:15:55,910 Epoch[4] Batch [30200] Speed: 11.04 samples/sec Train-Accuracy=0.764286
2016-09-25 04:16:31,976 Epoch[4] Batch [30250] Speed: 11.09 samples/sec Train-Accuracy=0.748571
2016-09-25 04:17:08,517 Epoch[4] Batch [30300] Speed: 10.95 samples/sec Train-Accuracy=0.792857
2016-09-25 04:17:45,363 Epoch[4] Batch [30350] Speed: 10.86 samples/sec Train-Accuracy=0.788571
2016-09-25 04:18:21,476 Epoch[4] Batch [30400] Speed: 11.08 samples/sec Train-Accuracy=0.772857
2016-09-25 04:18:57,577 Epoch[4] Batch [30450] Speed: 11.08 samples/sec Train-Accuracy=0.782857
2016-09-25 04:19:33,727 Epoch[4] Batch [30500] Speed: 11.07 samples/sec Train-Accuracy=0.802857
2016-09-25 04:20:09,876 Epoch[4] Batch [30550] Speed: 11.07 samples/sec Train-Accuracy=0.772857
2016-09-25 04:20:45,909 Epoch[4] Batch [30600] Speed: 11.10 samples/sec Train-Accuracy=0.764286
2016-09-25 04:21:21,966 Epoch[4] Batch [30650] Speed: 11.09 samples/sec Train-Accuracy=0.802857
2016-09-25 04:21:58,086 Epoch[4] Batch [30700] Speed: 11.07 samples/sec Train-Accuracy=0.782857
2016-09-25 04:22:34,477 Epoch[4] Batch [30750] Speed: 10.99 samples/sec Train-Accuracy=0.774286
2016-09-25 04:23:10,749 Epoch[4] Batch [30800] Speed: 11.03 samples/sec Train-Accuracy=0.785714
2016-09-25 04:23:46,853 Epoch[4] Batch [30850] Speed: 11.08 samples/sec Train-Accuracy=0.784286
2016-09-25 04:24:22,967 Epoch[4] Batch [30900] Speed: 11.08 samples/sec Train-Accuracy=0.785714
2016-09-25 04:24:59,056 Epoch[4] Batch [30950] Speed: 11.08 samples/sec Train-Accuracy=0.807143
2016-09-25 04:25:35,124 Epoch[4] Batch [31000] Speed: 11.09 samples/sec Train-Accuracy=0.801429
2016-09-25 04:26:11,100 Epoch[4] Batch [31050] Speed: 11.12 samples/sec Train-Accuracy=0.782857
2016-09-25 04:26:47,160 Epoch[4] Batch [31100] Speed: 11.09 samples/sec Train-Accuracy=0.765714
2016-09-25 04:27:23,642 Epoch[4] Batch [31150] Speed: 10.96 samples/sec Train-Accuracy=0.768571
2016-09-25 04:28:00,028 Epoch[4] Batch [31200] Speed: 10.99 samples/sec Train-Accuracy=0.800000
2016-09-25 04:28:36,237 Epoch[4] Batch [31250] Speed: 11.05 samples/sec Train-Accuracy=0.760000
2016-09-25 04:29:12,761 Epoch[4] Batch [31300] Speed: 10.95 samples/sec Train-Accuracy=0.784286
2016-09-25 04:29:49,883 Epoch[4] Batch [31350] Speed: 10.78 samples/sec Train-Accuracy=0.752857
2016-09-25 04:30:26,074 Epoch[4] Batch [31400] Speed: 11.05 samples/sec Train-Accuracy=0.737143
2016-09-25 04:31:02,319 Epoch[4] Batch [31450] Speed: 11.04 samples/sec Train-Accuracy=0.785714
2016-09-25 04:31:38,918 Epoch[4] Batch [31500] Speed: 10.93 samples/sec Train-Accuracy=0.790000
2016-09-25 04:32:15,780 Epoch[4] Batch [31550] Speed: 10.85 samples/sec Train-Accuracy=0.800000
2016-09-25 04:32:52,681 Epoch[4] Batch [31600] Speed: 10.84 samples/sec Train-Accuracy=0.792857
2016-09-25 04:33:30,715 Epoch[4] Batch [31650] Speed: 10.52 samples/sec Train-Accuracy=0.757143
2016-09-25 04:34:07,255 Epoch[4] Batch [31700] Speed: 10.95 samples/sec Train-Accuracy=0.768571
2016-09-25 04:34:44,250 Epoch[4] Batch [31750] Speed: 10.81 samples/sec Train-Accuracy=0.801429
2016-09-25 04:35:21,200 Epoch[4] Batch [31800] Speed: 10.83 samples/sec Train-Accuracy=0.760000
2016-09-25 04:35:59,851 Epoch[4] Batch [31850] Speed: 10.35 samples/sec Train-Accuracy=0.785714
2016-09-25 04:36:35,936 Epoch[4] Batch [31900] Speed: 11.09 samples/sec Train-Accuracy=0.795714
2016-09-25 04:37:12,030 Epoch[4] Batch [31950] Speed: 11.08 samples/sec Train-Accuracy=0.785714
2016-09-25 04:37:48,044 Epoch[4] Batch [32000] Speed: 11.11 samples/sec Train-Accuracy=0.792857
2016-09-25 04:38:23,856 Epoch[4] Batch [32050] Speed: 11.17 samples/sec Train-Accuracy=0.802857
2016-09-25 04:38:59,649 Epoch[4] Batch [32100] Speed: 11.18 samples/sec Train-Accuracy=0.775714
2016-09-25 04:39:35,486 Epoch[4] Batch [32150] Speed: 11.16 samples/sec Train-Accuracy=0.798571
2016-09-25 04:40:11,849 Epoch[4] Batch [32200] Speed: 11.00 samples/sec Train-Accuracy=0.767143
2016-09-25 04:40:49,899 Epoch[4] Batch [32250] Speed: 10.51 samples/sec Train-Accuracy=0.790000
2016-09-25 04:41:27,238 Epoch[4] Batch [32300] Speed: 10.71 samples/sec Train-Accuracy=0.750000
2016-09-25 04:42:06,446 Epoch[4] Batch [32350] Speed: 10.20 samples/sec Train-Accuracy=0.765714
2016-09-25 04:42:43,929 Epoch[4] Batch [32400] Speed: 10.67 samples/sec Train-Accuracy=0.778571
2016-09-25 04:43:21,263 Epoch[4] Batch [32450] Speed: 10.71 samples/sec Train-Accuracy=0.765714
2016-09-25 04:43:58,632 Epoch[4] Batch [32500] Speed: 10.70 samples/sec Train-Accuracy=0.764286
2016-09-25 04:44:37,042 Epoch[4] Batch [32550] Speed: 10.41 samples/sec Train-Accuracy=0.761429
2016-09-25 04:45:14,995 Epoch[4] Batch [32600] Speed: 10.54 samples/sec Train-Accuracy=0.792857
2016-09-25 04:45:52,351 Epoch[4] Batch [32650] Speed: 10.71 samples/sec Train-Accuracy=0.772857
2016-09-25 04:46:29,869 Epoch[4] Batch [32700] Speed: 10.66 samples/sec Train-Accuracy=0.801429
2016-09-25 04:47:07,127 Epoch[4] Batch [32750] Speed: 10.74 samples/sec Train-Accuracy=0.808571
2016-09-25 04:47:44,412 Epoch[4] Batch [32800] Speed: 10.73 samples/sec Train-Accuracy=0.767143
2016-09-25 04:48:22,483 Epoch[4] Batch [32850] Speed: 10.51 samples/sec Train-Accuracy=0.802857
2016-09-25 04:49:00,610 Epoch[4] Batch [32900] Speed: 10.49 samples/sec Train-Accuracy=0.767143
2016-09-25 04:49:38,654 Epoch[4] Batch [32950] Speed: 10.51 samples/sec Train-Accuracy=0.784286
2016-09-25 04:50:16,674 Epoch[4] Batch [33000] Speed: 10.52 samples/sec Train-Accuracy=0.767143
2016-09-25 04:50:54,206 Epoch[4] Batch [33050] Speed: 10.66 samples/sec Train-Accuracy=0.820000
2016-09-25 04:51:30,607 Epoch[4] Batch [33100] Speed: 10.99 samples/sec Train-Accuracy=0.764286
2016-09-25 04:52:07,019 Epoch[4] Batch [33150] Speed: 10.99 samples/sec Train-Accuracy=0.780000
2016-09-25 04:52:43,405 Epoch[4] Batch [33200] Speed: 10.99 samples/sec Train-Accuracy=0.751429
2016-09-25 04:53:19,891 Epoch[4] Batch [33250] Speed: 10.96 samples/sec Train-Accuracy=0.788571
2016-09-25 04:53:56,178 Epoch[4] Batch [33300] Speed: 11.02 samples/sec Train-Accuracy=0.791429
2016-09-25 04:54:33,142 Epoch[4] Batch [33350] Speed: 10.82 samples/sec Train-Accuracy=0.748571
2016-09-25 04:55:11,191 Epoch[4] Batch [33400] Speed: 10.51 samples/sec Train-Accuracy=0.798571
2016-09-25 04:55:47,388 Epoch[4] Batch [33450] Speed: 11.05 samples/sec Train-Accuracy=0.815714
2016-09-25 04:56:27,795 Epoch[4] Batch [33500] Speed: 9.90 samples/sec Train-Accuracy=0.758571
2016-09-25 04:57:03,753 Epoch[4] Batch [33550] Speed: 11.12 samples/sec Train-Accuracy=0.795714
2016-09-25 04:57:39,717 Epoch[4] Batch [33600] Speed: 11.12 samples/sec Train-Accuracy=0.805714
2016-09-25 04:58:15,785 Epoch[4] Batch [33650] Speed: 11.09 samples/sec Train-Accuracy=0.788571
2016-09-25 04:58:51,977 Epoch[4] Batch [33700] Speed: 11.05 samples/sec Train-Accuracy=0.785714
2016-09-25 04:59:29,160 Epoch[4] Batch [33750] Speed: 10.76 samples/sec Train-Accuracy=0.797143
2016-09-25 05:00:06,497 Epoch[4] Batch [33800] Speed: 10.71 samples/sec Train-Accuracy=0.792857
2016-09-25 05:00:43,939 Epoch[4] Batch [33850] Speed: 10.68 samples/sec Train-Accuracy=0.791429
2016-09-25 05:01:21,326 Epoch[4] Batch [33900] Speed: 10.70 samples/sec Train-Accuracy=0.780000
2016-09-25 05:01:58,886 Epoch[4] Batch [33950] Speed: 10.65 samples/sec Train-Accuracy=0.758571
2016-09-25 05:02:35,904 Epoch[4] Batch [34000] Speed: 10.81 samples/sec Train-Accuracy=0.764286
2016-09-25 05:03:13,411 Epoch[4] Batch [34050] Speed: 10.66 samples/sec Train-Accuracy=0.748571
2016-09-25 05:03:51,346 Epoch[4] Batch [34100] Speed: 10.54 samples/sec Train-Accuracy=0.742857
2016-09-25 05:04:28,748 Epoch[4] Batch [34150] Speed: 10.69 samples/sec Train-Accuracy=0.784286
2016-09-25 05:05:04,988 Epoch[4] Batch [34200] Speed: 11.04 samples/sec Train-Accuracy=0.787143
2016-09-25 05:05:41,114 Epoch[4] Batch [34250] Speed: 11.07 samples/sec Train-Accuracy=0.778571
2016-09-25 05:06:17,228 Epoch[4] Batch [34300] Speed: 11.08 samples/sec Train-Accuracy=0.777143
2016-09-25 05:06:53,261 Epoch[4] Batch [34350] Speed: 11.10 samples/sec Train-Accuracy=0.792857
2016-09-25 05:07:29,268 Epoch[4] Batch [34400] Speed: 11.11 samples/sec Train-Accuracy=0.788571
2016-09-25 05:08:05,439 Epoch[4] Batch [34450] Speed: 11.06 samples/sec Train-Accuracy=0.772857
2016-09-25 05:08:41,570 Epoch[4] Batch [34500] Speed: 11.07 samples/sec Train-Accuracy=0.767143
2016-09-25 05:09:17,748 Epoch[4] Batch [34550] Speed: 11.06 samples/sec Train-Accuracy=0.784286
2016-09-25 05:09:53,755 Epoch[4] Batch [34600] Speed: 11.11 samples/sec Train-Accuracy=0.775714
2016-09-25 05:10:29,779 Epoch[4] Batch [34650] Speed: 11.10 samples/sec Train-Accuracy=0.784286
2016-09-25 05:11:05,867 Epoch[4] Batch [34700] Speed: 11.08 samples/sec Train-Accuracy=0.777143
2016-09-25 05:11:41,888 Epoch[4] Batch [34750] Speed: 11.10 samples/sec Train-Accuracy=0.798571
2016-09-25 05:12:17,847 Epoch[4] Batch [34800] Speed: 11.12 samples/sec Train-Accuracy=0.792857
2016-09-25 05:12:53,917 Epoch[4] Batch [34850] Speed: 11.09 samples/sec Train-Accuracy=0.815714
2016-09-25 05:13:29,931 Epoch[4] Batch [34900] Speed: 11.11 samples/sec Train-Accuracy=0.767143
2016-09-25 05:14:06,123 Epoch[4] Batch [34950] Speed: 11.05 samples/sec Train-Accuracy=0.781429
2016-09-25 05:14:42,076 Epoch[4] Batch [35000] Speed: 11.13 samples/sec Train-Accuracy=0.782857
2016-09-25 05:15:18,130 Epoch[4] Batch [35050] Speed: 11.09 samples/sec Train-Accuracy=0.805714
2016-09-25 05:15:54,316 Epoch[4] Batch [35100] Speed: 11.05 samples/sec Train-Accuracy=0.770000
2016-09-25 05:16:30,413 Epoch[4] Batch [35150] Speed: 11.08 samples/sec Train-Accuracy=0.744286
2016-09-25 05:17:06,614 Epoch[4] Batch [35200] Speed: 11.05 samples/sec Train-Accuracy=0.777143
2016-09-25 05:17:43,299 Epoch[4] Batch [35250] Speed: 10.90 samples/sec Train-Accuracy=0.755714
2016-09-25 05:18:20,089 Epoch[4] Batch [35300] Speed: 10.87 samples/sec Train-Accuracy=0.762857
2016-09-25 05:18:56,968 Epoch[4] Batch [35350] Speed: 10.85 samples/sec Train-Accuracy=0.777143
2016-09-25 05:19:33,201 Epoch[4] Batch [35400] Speed: 11.04 samples/sec Train-Accuracy=0.742857
2016-09-25 05:20:09,474 Epoch[4] Batch [35450] Speed: 11.03 samples/sec Train-Accuracy=0.821429
2016-09-25 05:20:45,803 Epoch[4] Batch [35500] Speed: 11.01 samples/sec Train-Accuracy=0.755714
2016-09-25 05:21:22,480 Epoch[4] Batch [35550] Speed: 10.91 samples/sec Train-Accuracy=0.770000
2016-09-25 05:21:58,980 Epoch[4] Batch [35600] Speed: 10.96 samples/sec Train-Accuracy=0.768571
2016-09-25 05:22:35,116 Epoch[4] Batch [35650] Speed: 11.07 samples/sec Train-Accuracy=0.771429
2016-09-25 05:23:11,567 Epoch[4] Batch [35700] Speed: 10.97 samples/sec Train-Accuracy=0.787143
2016-09-25 05:23:51,829 Epoch[4] Batch [35750] Speed: 9.93 samples/sec Train-Accuracy=0.767143
2016-09-25 05:24:32,691 Epoch[4] Batch [35800] Speed: 9.79 samples/sec Train-Accuracy=0.801429
2016-09-25 05:25:12,600 Epoch[4] Batch [35850] Speed: 10.02 samples/sec Train-Accuracy=0.800000
2016-09-25 05:25:51,816 Epoch[4] Batch [35900] Speed: 10.20 samples/sec Train-Accuracy=0.772857
2016-09-25 05:26:29,037 Epoch[4] Batch [35950] Speed: 10.75 samples/sec Train-Accuracy=0.761429
2016-09-25 05:27:06,452 Epoch[4] Batch [36000] Speed: 10.69 samples/sec Train-Accuracy=0.782857
2016-09-25 05:27:43,463 Epoch[4] Batch [36050] Speed: 10.81 samples/sec Train-Accuracy=0.801429
2016-09-25 05:28:20,525 Epoch[4] Batch [36100] Speed: 10.79 samples/sec Train-Accuracy=0.764286
2016-09-25 05:28:57,559 Epoch[4] Batch [36150] Speed: 10.80 samples/sec Train-Accuracy=0.797143
2016-09-25 05:29:34,922 Epoch[4] Batch [36200] Speed: 10.71 samples/sec Train-Accuracy=0.772857
2016-09-25 05:30:12,329 Epoch[4] Batch [36250] Speed: 10.69 samples/sec Train-Accuracy=0.768571
2016-09-25 05:30:49,629 Epoch[4] Batch [36300] Speed: 10.72 samples/sec Train-Accuracy=0.765714
2016-09-25 05:31:26,838 Epoch[4] Batch [36350] Speed: 10.75 samples/sec Train-Accuracy=0.738571
2016-09-25 05:32:04,005 Epoch[4] Batch [36400] Speed: 10.76 samples/sec Train-Accuracy=0.787143
2016-09-25 05:32:41,146 Epoch[4] Batch [36450] Speed: 10.77 samples/sec Train-Accuracy=0.760000
2016-09-25 05:33:17,856 Epoch[4] Batch [36500] Speed: 10.90 samples/sec Train-Accuracy=0.767143
2016-09-25 05:33:54,922 Epoch[4] Batch [36550] Speed: 10.79 samples/sec Train-Accuracy=0.782857
2016-09-25 05:34:32,294 Epoch[4] Batch [36600] Speed: 10.70 samples/sec Train-Accuracy=0.765714
2016-09-25 05:35:09,644 Epoch[4] Batch [36650] Speed: 10.71 samples/sec Train-Accuracy=0.788571
2016-09-25 05:35:45,868 Epoch[4] Batch [36700] Speed: 11.04 samples/sec Train-Accuracy=0.758571
2016-09-25 05:36:22,152 Epoch[4] Batch [36750] Speed: 11.02 samples/sec Train-Accuracy=0.798571
2016-09-25 05:36:58,686 Epoch[4] Batch [36800] Speed: 10.95 samples/sec Train-Accuracy=0.772857
2016-09-25 05:37:35,691 Epoch[4] Batch [36850] Speed: 10.81 samples/sec Train-Accuracy=0.768571
2016-09-25 05:38:14,792 Epoch[4] Batch [36900] Speed: 10.23 samples/sec Train-Accuracy=0.771429
2016-09-25 05:38:51,216 Epoch[4] Batch [36950] Speed: 10.98 samples/sec Train-Accuracy=0.782857
2016-09-25 05:39:27,866 Epoch[4] Batch [37000] Speed: 10.91 samples/sec Train-Accuracy=0.782857
2016-09-25 05:40:04,175 Epoch[4] Batch [37050] Speed: 11.02 samples/sec Train-Accuracy=0.761429
2016-09-25 05:40:41,775 Epoch[4] Batch [37100] Speed: 10.64 samples/sec Train-Accuracy=0.798571
2016-09-25 05:41:22,196 Epoch[4] Batch [37150] Speed: 9.90 samples/sec Train-Accuracy=0.781429
2016-09-25 05:42:01,060 Epoch[4] Batch [37200] Speed: 10.29 samples/sec Train-Accuracy=0.768571
2016-09-25 05:42:37,335 Epoch[4] Batch [37250] Speed: 11.03 samples/sec Train-Accuracy=0.810000
2016-09-25 05:43:13,477 Epoch[4] Batch [37300] Speed: 11.07 samples/sec Train-Accuracy=0.777143
2016-09-25 05:43:49,668 Epoch[4] Batch [37350] Speed: 11.05 samples/sec Train-Accuracy=0.790000
2016-09-25 05:44:25,871 Epoch[4] Batch [37400] Speed: 11.05 samples/sec Train-Accuracy=0.788571
2016-09-25 05:45:01,825 Epoch[4] Batch [37450] Speed: 11.13 samples/sec Train-Accuracy=0.762857
2016-09-25 05:45:38,150 Epoch[4] Batch [37500] Speed: 11.01 samples/sec Train-Accuracy=0.775714
2016-09-25 05:46:14,431 Epoch[4] Batch [37550] Speed: 11.02 samples/sec Train-Accuracy=0.764286
2016-09-25 05:46:50,902 Epoch[4] Batch [37600] Speed: 10.97 samples/sec Train-Accuracy=0.767143
2016-09-25 05:47:27,347 Epoch[4] Batch [37650] Speed: 10.98 samples/sec Train-Accuracy=0.774286
2016-09-25 05:48:04,925 Epoch[4] Batch [37700] Speed: 10.64 samples/sec Train-Accuracy=0.781429
2016-09-25 05:48:41,684 Epoch[4] Batch [37750] Speed: 10.88 samples/sec Train-Accuracy=0.812857
2016-09-25 05:49:18,367 Epoch[4] Batch [37800] Speed: 10.90 samples/sec Train-Accuracy=0.780000
2016-09-25 05:49:55,354 Epoch[4] Batch [37850] Speed: 10.81 samples/sec Train-Accuracy=0.801429
2016-09-25 05:50:32,058 Epoch[4] Batch [37900] Speed: 10.90 samples/sec Train-Accuracy=0.788571
2016-09-25 05:51:08,249 Epoch[4] Batch [37950] Speed: 11.05 samples/sec Train-Accuracy=0.811429
2016-09-25 05:51:44,488 Epoch[4] Batch [38000] Speed: 11.04 samples/sec Train-Accuracy=0.794286
2016-09-25 05:52:20,574 Epoch[4] Batch [38050] Speed: 11.08 samples/sec Train-Accuracy=0.800000
2016-09-25 05:52:56,654 Epoch[4] Batch [38100] Speed: 11.09 samples/sec Train-Accuracy=0.808571
2016-09-25 05:53:32,768 Epoch[4] Batch [38150] Speed: 11.08 samples/sec Train-Accuracy=0.795714
2016-09-25 05:54:10,200 Epoch[4] Batch [38200] Speed: 10.69 samples/sec Train-Accuracy=0.740000
2016-09-25 05:54:46,338 Epoch[4] Batch [38250] Speed: 11.07 samples/sec Train-Accuracy=0.788571
2016-09-25 05:55:22,561 Epoch[4] Batch [38300] Speed: 11.04 samples/sec Train-Accuracy=0.791429
2016-09-25 05:55:58,726 Epoch[4] Batch [38350] Speed: 11.06 samples/sec Train-Accuracy=0.765714
2016-09-25 05:56:35,047 Epoch[4] Batch [38400] Speed: 11.01 samples/sec Train-Accuracy=0.795714
2016-09-25 05:57:11,239 Epoch[4] Batch [38450] Speed: 11.05 samples/sec Train-Accuracy=0.788571
2016-09-25 05:57:47,388 Epoch[4] Batch [38500] Speed: 11.07 samples/sec Train-Accuracy=0.774286
2016-09-25 05:58:23,539 Epoch[4] Batch [38550] Speed: 11.06 samples/sec Train-Accuracy=0.791429
2016-09-25 05:59:00,112 Epoch[4] Batch [38600] Speed: 10.94 samples/sec Train-Accuracy=0.821429
2016-09-25 05:59:37,198 Epoch[4] Batch [38650] Speed: 10.79 samples/sec Train-Accuracy=0.765714
2016-09-25 06:00:14,487 Epoch[4] Batch [38700] Speed: 10.73 samples/sec Train-Accuracy=0.791429
2016-09-25 06:00:50,622 Epoch[4] Batch [38750] Speed: 11.07 samples/sec Train-Accuracy=0.781429
2016-09-25 06:01:26,807 Epoch[4] Batch [38800] Speed: 11.05 samples/sec Train-Accuracy=0.768571
2016-09-25 06:02:03,032 Epoch[4] Batch [38850] Speed: 11.04 samples/sec Train-Accuracy=0.780000
2016-09-25 06:02:39,327 Epoch[4] Batch [38900] Speed: 11.02 samples/sec Train-Accuracy=0.775714
2016-09-25 06:03:15,450 Epoch[4] Batch [38950] Speed: 11.07 samples/sec Train-Accuracy=0.817143
2016-09-25 06:03:51,643 Epoch[4] Batch [39000] Speed: 11.05 samples/sec Train-Accuracy=0.802857
2016-09-25 06:04:27,876 Epoch[4] Batch [39050] Speed: 11.04 samples/sec Train-Accuracy=0.774286
2016-09-25 06:05:04,052 Epoch[4] Batch [39100] Speed: 11.06 samples/sec Train-Accuracy=0.801429
2016-09-25 06:05:40,288 Epoch[4] Batch [39150] Speed: 11.04 samples/sec Train-Accuracy=0.762857
2016-09-25 06:06:16,545 Epoch[4] Batch [39200] Speed: 11.03 samples/sec Train-Accuracy=0.748571
2016-09-25 06:06:53,404 Epoch[4] Batch [39250] Speed: 10.85 samples/sec Train-Accuracy=0.818571
2016-09-25 06:07:30,906 Epoch[4] Batch [39300] Speed: 10.67 samples/sec Train-Accuracy=0.771429
2016-09-25 06:08:07,275 Epoch[4] Batch [39350] Speed: 11.00 samples/sec Train-Accuracy=0.778571
2016-09-25 06:08:43,464 Epoch[4] Batch [39400] Speed: 11.05 samples/sec Train-Accuracy=0.785714
2016-09-25 06:09:20,059 Epoch[4] Batch [39450] Speed: 10.93 samples/sec Train-Accuracy=0.780000
2016-09-25 06:09:56,119 Epoch[4] Batch [39500] Speed: 11.09 samples/sec Train-Accuracy=0.800000
2016-09-25 06:10:33,216 Epoch[4] Batch [39550] Speed: 10.78 samples/sec Train-Accuracy=0.814286
2016-09-25 06:11:11,007 Epoch[4] Batch [39600] Speed: 10.58 samples/sec Train-Accuracy=0.774286
2016-09-25 06:11:50,219 Epoch[4] Batch [39650] Speed: 10.20 samples/sec Train-Accuracy=0.748571
2016-09-25 06:12:28,404 Epoch[4] Batch [39700] Speed: 10.48 samples/sec Train-Accuracy=0.777143
2016-09-25 06:13:06,560 Epoch[4] Batch [39750] Speed: 10.48 samples/sec Train-Accuracy=0.754286
2016-09-25 06:13:44,695 Epoch[4] Batch [39800] Speed: 10.49 samples/sec Train-Accuracy=0.784286
2016-09-25 06:14:22,870 Epoch[4] Batch [39850] Speed: 10.48 samples/sec Train-Accuracy=0.780000
2016-09-25 06:15:01,086 Epoch[4] Batch [39900] Speed: 10.47 samples/sec Train-Accuracy=0.805714
2016-09-25 06:15:39,485 Epoch[4] Batch [39950] Speed: 10.42 samples/sec Train-Accuracy=0.765714
2016-09-25 06:16:15,783 Epoch[4] Batch [40000] Speed: 11.02 samples/sec Train-Accuracy=0.762857
2016-09-25 06:16:51,820 Epoch[4] Batch [40050] Speed: 11.10 samples/sec Train-Accuracy=0.814286
2016-09-25 06:17:27,908 Epoch[4] Batch [40100] Speed: 11.08 samples/sec Train-Accuracy=0.742857
2016-09-25 06:18:03,960 Epoch[4] Batch [40150] Speed: 11.10 samples/sec Train-Accuracy=0.765714
2016-09-25 06:18:40,309 Epoch[4] Batch [40200] Speed: 11.00 samples/sec Train-Accuracy=0.781429
2016-09-25 06:19:19,623 Epoch[4] Batch [40250] Speed: 10.17 samples/sec Train-Accuracy=0.801429
2016-09-25 06:20:00,115 Epoch[4] Batch [40300] Speed: 9.88 samples/sec Train-Accuracy=0.774286
2016-09-25 06:20:40,212 Epoch[4] Batch [40350] Speed: 9.98 samples/sec Train-Accuracy=0.798571
2016-09-25 06:21:20,784 Epoch[4] Batch [40400] Speed: 9.86 samples/sec Train-Accuracy=0.774286
2016-09-25 06:21:59,960 Epoch[4] Batch [40450] Speed: 10.21 samples/sec Train-Accuracy=0.787143
2016-09-25 06:22:39,922 Epoch[4] Batch [40500] Speed: 10.01 samples/sec Train-Accuracy=0.777143
2016-09-25 06:23:17,618 Epoch[4] Batch [40550] Speed: 10.61 samples/sec Train-Accuracy=0.777143
2016-09-25 06:23:54,725 Epoch[4] Batch [40600] Speed: 10.78 samples/sec Train-Accuracy=0.770000
2016-09-25 06:24:31,634 Epoch[4] Batch [40650] Speed: 10.84 samples/sec Train-Accuracy=0.777143
2016-09-25 06:25:08,202 Epoch[4] Batch [40700] Speed: 10.94 samples/sec Train-Accuracy=0.780000
2016-09-25 06:25:44,850 Epoch[4] Batch [40750] Speed: 10.91 samples/sec Train-Accuracy=0.805714
2016-09-25 06:26:22,318 Epoch[4] Batch [40800] Speed: 10.68 samples/sec Train-Accuracy=0.780000
2016-09-25 06:27:00,525 Epoch[4] Batch [40850] Speed: 10.47 samples/sec Train-Accuracy=0.787143
2016-09-25 06:27:38,481 Epoch[4] Batch [40900] Speed: 10.54 samples/sec Train-Accuracy=0.774286
2016-09-25 06:28:15,859 Epoch[4] Batch [40950] Speed: 10.70 samples/sec Train-Accuracy=0.811429
2016-09-25 06:28:52,664 Epoch[4] Batch [41000] Speed: 10.87 samples/sec Train-Accuracy=0.811429
2016-09-25 06:29:29,708 Epoch[4] Batch [41050] Speed: 10.80 samples/sec Train-Accuracy=0.785714
2016-09-25 06:30:06,539 Epoch[4] Batch [41100] Speed: 10.86 samples/sec Train-Accuracy=0.800000
2016-09-25 06:30:43,841 Epoch[4] Batch [41150] Speed: 10.72 samples/sec Train-Accuracy=0.777143
2016-09-25 06:31:21,177 Epoch[4] Batch [41200] Speed: 10.71 samples/sec Train-Accuracy=0.780000
2016-09-25 06:31:59,456 Epoch[4] Batch [41250] Speed: 10.45 samples/sec Train-Accuracy=0.780000
2016-09-25 06:32:37,408 Epoch[4] Batch [41300] Speed: 10.54 samples/sec Train-Accuracy=0.772857
2016-09-25 06:33:15,366 Epoch[4] Batch [41350] Speed: 10.54 samples/sec Train-Accuracy=0.815714
2016-09-25 06:33:52,564 Epoch[4] Batch [41400] Speed: 10.75 samples/sec Train-Accuracy=0.792857
2016-09-25 06:34:30,651 Epoch[4] Batch [41450] Speed: 10.50 samples/sec Train-Accuracy=0.778571
2016-09-25 06:35:11,195 Epoch[4] Batch [41500] Speed: 9.87 samples/sec Train-Accuracy=0.788571
2016-09-25 06:35:48,254 Epoch[4] Batch [41550] Speed: 10.79 samples/sec Train-Accuracy=0.792857
2016-09-25 06:36:25,196 Epoch[4] Batch [41600] Speed: 10.83 samples/sec Train-Accuracy=0.782857
2016-09-25 06:37:02,047 Epoch[4] Batch [41650] Speed: 10.85 samples/sec Train-Accuracy=0.798571
2016-09-25 06:37:38,912 Epoch[4] Batch [41700] Speed: 10.85 samples/sec Train-Accuracy=0.770000
2016-09-25 06:38:15,829 Epoch[4] Batch [41750] Speed: 10.84 samples/sec Train-Accuracy=0.792857
2016-09-25 06:38:52,797 Epoch[4] Batch [41800] Speed: 10.82 samples/sec Train-Accuracy=0.785714
2016-09-25 06:39:29,043 Epoch[4] Batch [41850] Speed: 11.04 samples/sec Train-Accuracy=0.772857
2016-09-25 06:40:05,069 Epoch[4] Batch [41900] Speed: 11.10 samples/sec Train-Accuracy=0.788571
2016-09-25 06:40:42,208 Epoch[4] Batch [41950] Speed: 10.77 samples/sec Train-Accuracy=0.798571
2016-09-25 06:41:18,612 Epoch[4] Batch [42000] Speed: 10.99 samples/sec Train-Accuracy=0.805714
2016-09-25 06:41:54,866 Epoch[4] Batch [42050] Speed: 11.03 samples/sec Train-Accuracy=0.790000
2016-09-25 06:42:30,984 Epoch[4] Batch [42100] Speed: 11.07 samples/sec Train-Accuracy=0.767143
2016-09-25 06:43:07,238 Epoch[4] Batch [42150] Speed: 11.03 samples/sec Train-Accuracy=0.770000
2016-09-25 06:43:43,398 Epoch[4] Batch [42200] Speed: 11.06 samples/sec Train-Accuracy=0.794286
2016-09-25 06:44:19,571 Epoch[4] Batch [42250] Speed: 11.06 samples/sec Train-Accuracy=0.818571
2016-09-25 06:44:55,632 Epoch[4] Batch [42300] Speed: 11.09 samples/sec Train-Accuracy=0.771429
2016-09-25 06:45:31,831 Epoch[4] Batch [42350] Speed: 11.05 samples/sec Train-Accuracy=0.807143
2016-09-25 06:46:07,997 Epoch[4] Batch [42400] Speed: 11.06 samples/sec Train-Accuracy=0.810000
2016-09-25 06:46:44,044 Epoch[4] Batch [42450] Speed: 11.10 samples/sec Train-Accuracy=0.780000
2016-09-25 06:47:20,107 Epoch[4] Batch [42500] Speed: 11.09 samples/sec Train-Accuracy=0.794286
2016-09-25 06:48:00,329 Epoch[4] Batch [42550] Speed: 9.94 samples/sec Train-Accuracy=0.791429
2016-09-25 06:48:38,470 Epoch[4] Batch [42600] Speed: 10.49 samples/sec Train-Accuracy=0.792857
2016-09-25 06:49:16,455 Epoch[4] Batch [42650] Speed: 10.53 samples/sec Train-Accuracy=0.778571
2016-09-25 06:49:55,067 Epoch[4] Batch [42700] Speed: 10.36 samples/sec Train-Accuracy=0.758571
2016-09-25 06:50:34,535 Epoch[4] Batch [42750] Speed: 10.13 samples/sec Train-Accuracy=0.770000
2016-09-25 06:51:12,592 Epoch[4] Batch [42800] Speed: 10.51 samples/sec Train-Accuracy=0.785714
2016-09-25 06:51:51,243 Epoch[4] Batch [42850] Speed: 10.35 samples/sec Train-Accuracy=0.802857
2016-09-25 06:52:30,131 Epoch[4] Batch [42900] Speed: 10.29 samples/sec Train-Accuracy=0.765714
2016-09-25 06:53:08,568 Epoch[4] Batch [42950] Speed: 10.41 samples/sec Train-Accuracy=0.754286
2016-09-25 06:53:47,442 Epoch[4] Batch [43000] Speed: 10.29 samples/sec Train-Accuracy=0.812857
2016-09-25 06:54:25,173 Epoch[4] Batch [43050] Speed: 10.60 samples/sec Train-Accuracy=0.781429
2016-09-25 06:55:02,866 Epoch[4] Batch [43100] Speed: 10.61 samples/sec Train-Accuracy=0.750000
2016-09-25 06:55:40,573 Epoch[4] Batch [43150] Speed: 10.61 samples/sec Train-Accuracy=0.801429
2016-09-25 06:56:17,517 Epoch[4] Batch [43200] Speed: 10.83 samples/sec Train-Accuracy=0.765714
2016-09-25 06:56:54,579 Epoch[4] Batch [43250] Speed: 10.79 samples/sec Train-Accuracy=0.794286
2016-09-25 06:57:31,999 Epoch[4] Batch [43300] Speed: 10.69 samples/sec Train-Accuracy=0.770000
2016-09-25 06:58:08,227 Epoch[4] Batch [43350] Speed: 11.04 samples/sec Train-Accuracy=0.811429
2016-09-25 06:58:46,982 Epoch[4] Batch [43400] Speed: 10.32 samples/sec Train-Accuracy=0.782857
2016-09-25 06:59:23,237 Epoch[4] Batch [43450] Speed: 11.03 samples/sec Train-Accuracy=0.764286
2016-09-25 06:59:59,516 Epoch[4] Batch [43500] Speed: 11.03 samples/sec Train-Accuracy=0.784286
2016-09-25 07:00:35,747 Epoch[4] Batch [43550] Speed: 11.04 samples/sec Train-Accuracy=0.818571
2016-09-25 07:01:11,894 Epoch[4] Batch [43600] Speed: 11.07 samples/sec Train-Accuracy=0.797143
2016-09-25 07:01:47,957 Epoch[4] Batch [43650] Speed: 11.09 samples/sec Train-Accuracy=0.791429
2016-09-25 07:02:25,740 Epoch[4] Batch [43700] Speed: 10.59 samples/sec Train-Accuracy=0.764286
2016-09-25 07:03:01,845 Epoch[4] Batch [43750] Speed: 11.08 samples/sec Train-Accuracy=0.754286
2016-09-25 07:03:37,937 Epoch[4] Batch [43800] Speed: 11.08 samples/sec Train-Accuracy=0.767143
2016-09-25 07:04:14,711 Epoch[4] Batch [43850] Speed: 10.88 samples/sec Train-Accuracy=0.792857
2016-09-25 07:04:52,356 Epoch[4] Batch [43900] Speed: 10.63 samples/sec Train-Accuracy=0.797143
2016-09-25 07:05:29,737 Epoch[4] Batch [43950] Speed: 10.70 samples/sec Train-Accuracy=0.792857
2016-09-25 07:06:06,516 Epoch[4] Batch [44000] Speed: 10.88 samples/sec Train-Accuracy=0.788571
2016-09-25 07:06:43,605 Epoch[4] Batch [44050] Speed: 10.78 samples/sec Train-Accuracy=0.791429
2016-09-25 07:07:20,721 Epoch[4] Batch [44100] Speed: 10.78 samples/sec Train-Accuracy=0.764286
2016-09-25 07:07:57,153 Epoch[4] Batch [44150] Speed: 10.98 samples/sec Train-Accuracy=0.760000
2016-09-25 07:08:33,571 Epoch[4] Batch [44200] Speed: 10.98 samples/sec Train-Accuracy=0.784286
2016-09-25 07:09:09,734 Epoch[4] Batch [44250] Speed: 11.06 samples/sec Train-Accuracy=0.777143
2016-09-25 07:09:45,935 Epoch[4] Batch [44300] Speed: 11.05 samples/sec Train-Accuracy=0.800000
2016-09-25 07:10:22,143 Epoch[4] Batch [44350] Speed: 11.05 samples/sec Train-Accuracy=0.797143
2016-09-25 07:10:58,227 Epoch[4] Batch [44400] Speed: 11.09 samples/sec Train-Accuracy=0.748571
2016-09-25 07:11:34,360 Epoch[4] Batch [44450] Speed: 11.07 samples/sec Train-Accuracy=0.750000
2016-09-25 07:12:10,487 Epoch[4] Batch [44500] Speed: 11.07 samples/sec Train-Accuracy=0.764286
2016-09-25 07:12:46,593 Epoch[4] Batch [44550] Speed: 11.08 samples/sec Train-Accuracy=0.765714
2016-09-25 07:13:22,655 Epoch[4] Batch [44600] Speed: 11.09 samples/sec Train-Accuracy=0.781429
2016-09-25 07:13:58,593 Epoch[4] Batch [44650] Speed: 11.13 samples/sec Train-Accuracy=0.765714
2016-09-25 07:14:34,644 Epoch[4] Batch [44700] Speed: 11.10 samples/sec Train-Accuracy=0.790000
2016-09-25 07:15:10,763 Epoch[4] Batch [44750] Speed: 11.07 samples/sec Train-Accuracy=0.797143
2016-09-25 07:15:46,789 Epoch[4] Batch [44800] Speed: 11.10 samples/sec Train-Accuracy=0.804286
2016-09-25 07:16:23,095 Epoch[4] Batch [44850] Speed: 11.02 samples/sec Train-Accuracy=0.800000
2016-09-25 07:16:59,195 Epoch[4] Batch [44900] Speed: 11.08 samples/sec Train-Accuracy=0.777143
2016-09-25 07:17:35,419 Epoch[4] Batch [44950] Speed: 11.04 samples/sec Train-Accuracy=0.828571
2016-09-25 07:18:11,675 Epoch[4] Batch [45000] Speed: 11.03 samples/sec Train-Accuracy=0.790000
2016-09-25 07:18:47,945 Epoch[4] Batch [45050] Speed: 11.03 samples/sec Train-Accuracy=0.777143
2016-09-25 07:19:24,285 Epoch[4] Batch [45100] Speed: 11.01 samples/sec Train-Accuracy=0.755714
2016-09-25 07:20:00,845 Epoch[4] Batch [45150] Speed: 10.94 samples/sec Train-Accuracy=0.754286
2016-09-25 07:20:37,699 Epoch[4] Batch [45200] Speed: 10.85 samples/sec Train-Accuracy=0.792857
2016-09-25 07:21:14,639 Epoch[4] Batch [45250] Speed: 10.83 samples/sec Train-Accuracy=0.754286
2016-09-25 07:21:51,098 Epoch[4] Batch [45300] Speed: 10.97 samples/sec Train-Accuracy=0.715714
2016-09-25 07:22:27,217 Epoch[4] Batch [45350] Speed: 11.07 samples/sec Train-Accuracy=0.802857
2016-09-25 07:23:03,317 Epoch[4] Batch [45400] Speed: 11.08 samples/sec Train-Accuracy=0.805714
2016-09-25 07:23:39,435 Epoch[4] Batch [45450] Speed: 11.07 samples/sec Train-Accuracy=0.771429
2016-09-25 07:24:15,568 Epoch[4] Batch [45500] Speed: 11.07 samples/sec Train-Accuracy=0.770000
2016-09-25 07:24:51,678 Epoch[4] Batch [45550] Speed: 11.08 samples/sec Train-Accuracy=0.832857
2016-09-25 07:25:27,891 Epoch[4] Batch [45600] Speed: 11.05 samples/sec Train-Accuracy=0.790000
2016-09-25 07:26:04,064 Epoch[4] Batch [45650] Speed: 11.06 samples/sec Train-Accuracy=0.755714
2016-09-25 07:26:40,221 Epoch[4] Batch [45700] Speed: 11.06 samples/sec Train-Accuracy=0.768571
2016-09-25 07:27:16,429 Epoch[4] Batch [45750] Speed: 11.05 samples/sec Train-Accuracy=0.791429
2016-09-25 07:27:52,607 Epoch[4] Batch [45800] Speed: 11.06 samples/sec Train-Accuracy=0.762857
2016-09-25 07:28:29,902 Epoch[4] Batch [45850] Speed: 10.73 samples/sec Train-Accuracy=0.787143
2016-09-25 07:29:10,275 Epoch[4] Batch [45900] Speed: 9.91 samples/sec Train-Accuracy=0.811429
2016-09-25 07:29:48,904 Epoch[4] Batch [45950] Speed: 10.36 samples/sec Train-Accuracy=0.815714
2016-09-25 07:30:25,518 Epoch[4] Batch [46000] Speed: 10.92 samples/sec Train-Accuracy=0.770000
2016-09-25 07:31:01,811 Epoch[4] Batch [46050] Speed: 11.02 samples/sec Train-Accuracy=0.777143
2016-09-25 07:31:38,241 Epoch[4] Batch [46100] Speed: 10.98 samples/sec Train-Accuracy=0.774286
2016-09-25 07:32:15,242 Epoch[4] Batch [46150] Speed: 10.81 samples/sec Train-Accuracy=0.800000
2016-09-25 07:32:51,541 Epoch[4] Batch [46200] Speed: 11.02 samples/sec Train-Accuracy=0.805714
2016-09-25 07:33:27,696 Epoch[4] Batch [46250] Speed: 11.06 samples/sec Train-Accuracy=0.798571
2016-09-25 07:34:03,825 Epoch[4] Batch [46300] Speed: 11.07 samples/sec Train-Accuracy=0.797143
2016-09-25 07:34:39,956 Epoch[4] Batch [46350] Speed: 11.07 samples/sec Train-Accuracy=0.765714
2016-09-25 07:35:16,076 Epoch[4] Batch [46400] Speed: 11.07 samples/sec Train-Accuracy=0.791429
2016-09-25 07:35:52,185 Epoch[4] Batch [46450] Speed: 11.08 samples/sec Train-Accuracy=0.764286
2016-09-25 07:36:28,342 Epoch[4] Batch [46500] Speed: 11.06 samples/sec Train-Accuracy=0.777143
2016-09-25 07:37:05,290 Epoch[4] Batch [46550] Speed: 10.83 samples/sec Train-Accuracy=0.762857
2016-09-25 07:37:42,544 Epoch[4] Batch [46600] Speed: 10.74 samples/sec Train-Accuracy=0.765714
2016-09-25 07:38:19,708 Epoch[4] Batch [46650] Speed: 10.76 samples/sec Train-Accuracy=0.774286
2016-09-25 07:38:56,142 Epoch[4] Batch [46700] Speed: 10.98 samples/sec Train-Accuracy=0.782857
2016-09-25 07:39:32,350 Epoch[4] Batch [46750] Speed: 11.05 samples/sec Train-Accuracy=0.820000
2016-09-25 07:40:09,069 Epoch[4] Batch [46800] Speed: 10.89 samples/sec Train-Accuracy=0.795714
2016-09-25 07:40:46,495 Epoch[4] Batch [46850] Speed: 10.69 samples/sec Train-Accuracy=0.787143
2016-09-25 07:41:23,395 Epoch[4] Batch [46900] Speed: 10.84 samples/sec Train-Accuracy=0.800000
2016-09-25 07:42:00,253 Epoch[4] Batch [46950] Speed: 10.85 samples/sec Train-Accuracy=0.760000
2016-09-25 07:42:37,097 Epoch[4] Batch [47000] Speed: 10.86 samples/sec Train-Accuracy=0.795714
2016-09-25 07:43:14,718 Epoch[4] Batch [47050] Speed: 10.63 samples/sec Train-Accuracy=0.777143
2016-09-25 07:43:52,623 Epoch[4] Batch [47100] Speed: 10.55 samples/sec Train-Accuracy=0.778571
2016-09-25 07:44:30,386 Epoch[4] Batch [47150] Speed: 10.59 samples/sec Train-Accuracy=0.787143
2016-09-25 07:45:08,493 Epoch[4] Batch [47200] Speed: 10.50 samples/sec Train-Accuracy=0.797143
2016-09-25 07:45:46,250 Epoch[4] Batch [47250] Speed: 10.59 samples/sec Train-Accuracy=0.784286
2016-09-25 07:46:24,810 Epoch[4] Batch [47300] Speed: 10.37 samples/sec Train-Accuracy=0.791429
2016-09-25 07:47:06,036 Epoch[4] Batch [47350] Speed: 9.70 samples/sec Train-Accuracy=0.791429
2016-09-25 07:47:47,228 Epoch[4] Batch [47400] Speed: 9.71 samples/sec Train-Accuracy=0.807143
2016-09-25 07:48:27,393 Epoch[4] Batch [47450] Speed: 9.96 samples/sec Train-Accuracy=0.745714
2016-09-25 07:49:04,775 Epoch[4] Batch [47500] Speed: 10.70 samples/sec Train-Accuracy=0.788571
2016-09-25 07:49:43,572 Epoch[4] Batch [47550] Speed: 10.31 samples/sec Train-Accuracy=0.767143
2016-09-25 07:50:19,821 Epoch[4] Batch [47600] Speed: 11.03 samples/sec Train-Accuracy=0.790000
2016-09-25 07:50:56,087 Epoch[4] Batch [47650] Speed: 11.03 samples/sec Train-Accuracy=0.780000
2016-09-25 07:51:32,302 Epoch[4] Batch [47700] Speed: 11.05 samples/sec Train-Accuracy=0.771429
2016-09-25 07:52:08,707 Epoch[4] Batch [47750] Speed: 10.99 samples/sec Train-Accuracy=0.802857
2016-09-25 07:52:44,965 Epoch[4] Batch [47800] Speed: 11.03 samples/sec Train-Accuracy=0.774286
2016-09-25 07:53:21,257 Epoch[4] Batch [47850] Speed: 11.02 samples/sec Train-Accuracy=0.811429
2016-09-25 07:53:58,529 Epoch[4] Batch [47900] Speed: 10.73 samples/sec Train-Accuracy=0.778571
2016-09-25 07:54:34,916 Epoch[4] Batch [47950] Speed: 10.99 samples/sec Train-Accuracy=0.787143
2016-09-25 07:55:11,461 Epoch[4] Batch [48000] Speed: 10.95 samples/sec Train-Accuracy=0.795714
2016-09-25 07:55:48,494 Epoch[4] Batch [48050] Speed: 10.80 samples/sec Train-Accuracy=0.724286
2016-09-25 07:56:26,296 Epoch[4] Batch [48100] Speed: 10.58 samples/sec Train-Accuracy=0.808571
2016-09-25 07:57:03,831 Epoch[4] Batch [48150] Speed: 10.66 samples/sec Train-Accuracy=0.781429
2016-09-25 07:57:41,531 Epoch[4] Batch [48200] Speed: 10.61 samples/sec Train-Accuracy=0.772857
2016-09-25 07:58:19,253 Epoch[4] Batch [48250] Speed: 10.60 samples/sec Train-Accuracy=0.782857
2016-09-25 07:58:56,727 Epoch[4] Batch [48300] Speed: 10.67 samples/sec Train-Accuracy=0.745714
2016-09-25 07:59:33,196 Epoch[4] Batch [48350] Speed: 10.97 samples/sec Train-Accuracy=0.780000
2016-09-25 08:00:09,741 Epoch[4] Batch [48400] Speed: 10.95 samples/sec Train-Accuracy=0.782857
2016-09-25 08:00:46,117 Epoch[4] Batch [48450] Speed: 11.00 samples/sec Train-Accuracy=0.774286
2016-09-25 08:01:27,261 Epoch[4] Batch [48500] Speed: 9.72 samples/sec Train-Accuracy=0.758571
2016-09-25 08:02:07,369 Epoch[4] Batch [48550] Speed: 9.97 samples/sec Train-Accuracy=0.802857
2016-09-25 08:02:45,489 Epoch[4] Batch [48600] Speed: 10.49 samples/sec Train-Accuracy=0.782857
2016-09-25 08:03:23,391 Epoch[4] Batch [48650] Speed: 10.55 samples/sec Train-Accuracy=0.770000
2016-09-25 08:04:02,177 Epoch[4] Batch [48700] Speed: 10.31 samples/sec Train-Accuracy=0.742857
2016-09-25 08:04:38,902 Epoch[4] Batch [48750] Speed: 10.89 samples/sec Train-Accuracy=0.821429
2016-09-25 08:05:16,053 Epoch[4] Batch [48800] Speed: 10.77 samples/sec Train-Accuracy=0.764286
2016-09-25 08:05:52,732 Epoch[4] Batch [48850] Speed: 10.91 samples/sec Train-Accuracy=0.780000
2016-09-25 08:06:29,852 Epoch[4] Batch [48900] Speed: 10.78 samples/sec Train-Accuracy=0.782857
2016-09-25 08:07:07,131 Epoch[4] Batch [48950] Speed: 10.73 samples/sec Train-Accuracy=0.762857
2016-09-25 08:07:44,404 Epoch[4] Batch [49000] Speed: 10.73 samples/sec Train-Accuracy=0.790000
2016-09-25 08:08:21,397 Epoch[4] Batch [49050] Speed: 10.81 samples/sec Train-Accuracy=0.775714
2016-09-25 08:08:59,719 Epoch[4] Batch [49100] Speed: 10.44 samples/sec Train-Accuracy=0.797143
2016-09-25 08:09:37,579 Epoch[4] Batch [49150] Speed: 10.57 samples/sec Train-Accuracy=0.785714
2016-09-25 08:10:14,581 Epoch[4] Batch [49200] Speed: 10.81 samples/sec Train-Accuracy=0.790000
2016-09-25 08:10:51,140 Epoch[4] Batch [49250] Speed: 10.94 samples/sec Train-Accuracy=0.758571
2016-09-25 08:11:27,805 Epoch[4] Batch [49300] Speed: 10.91 samples/sec Train-Accuracy=0.808571
2016-09-25 08:12:04,281 Epoch[4] Batch [49350] Speed: 10.97 samples/sec Train-Accuracy=0.768571
2016-09-25 08:12:40,455 Epoch[4] Batch [49400] Speed: 11.06 samples/sec Train-Accuracy=0.794286
2016-09-25 08:13:16,866 Epoch[4] Batch [49450] Speed: 10.99 samples/sec Train-Accuracy=0.801429
2016-09-25 08:13:53,365 Epoch[4] Batch [49500] Speed: 10.96 samples/sec Train-Accuracy=0.761429
2016-09-25 08:14:30,215 Epoch[4] Batch [49550] Speed: 10.85 samples/sec Train-Accuracy=0.765714
2016-09-25 08:15:06,449 Epoch[4] Batch [49600] Speed: 11.04 samples/sec Train-Accuracy=0.768571
2016-09-25 08:15:42,592 Epoch[4] Batch [49650] Speed: 11.07 samples/sec Train-Accuracy=0.772857
2016-09-25 08:16:19,419 Epoch[4] Batch [49700] Speed: 10.86 samples/sec Train-Accuracy=0.774286
2016-09-25 08:16:58,159 Epoch[4] Batch [49750] Speed: 10.33 samples/sec Train-Accuracy=0.805714
2016-09-25 08:17:36,098 Epoch[4] Batch [49800] Speed: 10.54 samples/sec Train-Accuracy=0.791429
2016-09-25 08:18:13,384 Epoch[4] Batch [49850] Speed: 10.73 samples/sec Train-Accuracy=0.780000
2016-09-25 08:18:50,673 Epoch[4] Batch [49900] Speed: 10.73 samples/sec Train-Accuracy=0.820000
2016-09-25 08:19:27,724 Epoch[4] Batch [49950] Speed: 10.80 samples/sec Train-Accuracy=0.810000
2016-09-25 08:20:05,538 Epoch[4] Batch [50000] Speed: 10.58 samples/sec Train-Accuracy=0.794286
2016-09-25 08:20:45,309 Epoch[4] Batch [50050] Speed: 10.06 samples/sec Train-Accuracy=0.772857
2016-09-25 08:21:23,458 Epoch[4] Batch [50100] Speed: 10.49 samples/sec Train-Accuracy=0.782857
2016-09-25 08:22:01,094 Epoch[4] Batch [50150] Speed: 10.63 samples/sec Train-Accuracy=0.795714
2016-09-25 08:22:39,620 Epoch[4] Batch [50200] Speed: 10.38 samples/sec Train-Accuracy=0.808571
2016-09-25 08:23:17,735 Epoch[4] Batch [50250] Speed: 10.49 samples/sec Train-Accuracy=0.810000
2016-09-25 08:23:54,955 Epoch[4] Batch [50300] Speed: 10.75 samples/sec Train-Accuracy=0.798571
2016-09-25 08:24:33,324 Epoch[4] Batch [50350] Speed: 10.43 samples/sec Train-Accuracy=0.790000
2016-09-25 08:25:09,610 Epoch[4] Batch [50400] Speed: 11.02 samples/sec Train-Accuracy=0.770000
2016-09-25 08:25:45,690 Epoch[4] Batch [50450] Speed: 11.09 samples/sec Train-Accuracy=0.808571
2016-09-25 08:26:22,533 Epoch[4] Batch [50500] Speed: 10.86 samples/sec Train-Accuracy=0.737143
2016-09-25 08:26:58,600 Epoch[4] Batch [50550] Speed: 11.09 samples/sec Train-Accuracy=0.752857
2016-09-25 08:27:34,654 Epoch[4] Batch [50600] Speed: 11.09 samples/sec Train-Accuracy=0.791429
2016-09-25 08:28:10,793 Epoch[4] Batch [50650] Speed: 11.07 samples/sec Train-Accuracy=0.791429
2016-09-25 08:28:46,883 Epoch[4] Batch [50700] Speed: 11.08 samples/sec Train-Accuracy=0.801429
2016-09-25 08:29:22,906 Epoch[4] Batch [50750] Speed: 11.10 samples/sec Train-Accuracy=0.821429
2016-09-25 08:29:59,005 Epoch[4] Batch [50800] Speed: 11.08 samples/sec Train-Accuracy=0.805714
2016-09-25 08:30:35,198 Epoch[4] Batch [50850] Speed: 11.05 samples/sec Train-Accuracy=0.802857
2016-09-25 08:31:11,309 Epoch[4] Batch [50900] Speed: 11.08 samples/sec Train-Accuracy=0.798571
2016-09-25 08:31:47,461 Epoch[4] Batch [50950] Speed: 11.06 samples/sec Train-Accuracy=0.798571
2016-09-25 08:32:23,565 Epoch[4] Batch [51000] Speed: 11.08 samples/sec Train-Accuracy=0.802857
2016-09-25 08:32:59,662 Epoch[4] Batch [51050] Speed: 11.08 samples/sec Train-Accuracy=0.782857
2016-09-25 08:33:36,472 Epoch[4] Batch [51100] Speed: 10.87 samples/sec Train-Accuracy=0.781429
2016-09-25 08:34:13,816 Epoch[4] Batch [51150] Speed: 10.71 samples/sec Train-Accuracy=0.767143
2016-09-25 08:34:50,925 Epoch[4] Batch [51200] Speed: 10.78 samples/sec Train-Accuracy=0.808571
2016-09-25 08:35:28,199 Epoch[4] Batch [51250] Speed: 10.73 samples/sec Train-Accuracy=0.791429
2016-09-25 08:36:05,059 Epoch[4] Batch [51300] Speed: 10.85 samples/sec Train-Accuracy=0.758571
2016-09-25 08:36:42,289 Epoch[4] Batch [51350] Speed: 10.74 samples/sec Train-Accuracy=0.747143
2016-09-25 08:37:18,545 Epoch[4] Batch [51400] Speed: 11.03 samples/sec Train-Accuracy=0.828571
2016-09-25 08:37:54,680 Epoch[4] Batch [51450] Speed: 11.07 samples/sec Train-Accuracy=0.785714
2016-09-25 08:38:30,810 Epoch[4] Batch [51500] Speed: 11.07 samples/sec Train-Accuracy=0.805714
2016-09-25 08:39:07,087 Epoch[4] Batch [51550] Speed: 11.03 samples/sec Train-Accuracy=0.777143
2016-09-25 08:39:43,536 Epoch[4] Batch [51600] Speed: 10.97 samples/sec Train-Accuracy=0.800000
2016-09-25 08:40:19,560 Epoch[4] Batch [51650] Speed: 11.10 samples/sec Train-Accuracy=0.771429
2016-09-25 08:40:55,882 Epoch[4] Batch [51700] Speed: 11.01 samples/sec Train-Accuracy=0.784286
2016-09-25 08:41:32,108 Epoch[4] Batch [51750] Speed: 11.04 samples/sec Train-Accuracy=0.800000
2016-09-25 08:42:08,159 Epoch[4] Batch [51800] Speed: 11.10 samples/sec Train-Accuracy=0.770000
2016-09-25 08:42:44,771 Epoch[4] Batch [51850] Speed: 10.93 samples/sec Train-Accuracy=0.768571
2016-09-25 08:43:23,496 Epoch[4] Batch [51900] Speed: 10.33 samples/sec Train-Accuracy=0.774286
2016-09-25 08:43:59,631 Epoch[4] Batch [51950] Speed: 11.07 samples/sec Train-Accuracy=0.817143
2016-09-25 08:44:35,768 Epoch[4] Batch [52000] Speed: 11.07 samples/sec Train-Accuracy=0.805714
2016-09-25 08:45:12,048 Epoch[4] Batch [52050] Speed: 11.03 samples/sec Train-Accuracy=0.774286
2016-09-25 08:45:48,258 Epoch[4] Batch [52100] Speed: 11.05 samples/sec Train-Accuracy=0.794286
2016-09-25 08:46:24,427 Epoch[4] Batch [52150] Speed: 11.06 samples/sec Train-Accuracy=0.798571
2016-09-25 08:47:00,530 Epoch[4] Batch [52200] Speed: 11.08 samples/sec Train-Accuracy=0.790000
2016-09-25 08:47:36,714 Epoch[4] Batch [52250] Speed: 11.05 samples/sec Train-Accuracy=0.802857
2016-09-25 08:48:12,790 Epoch[4] Batch [52300] Speed: 11.09 samples/sec Train-Accuracy=0.790000
2016-09-25 08:48:48,928 Epoch[4] Batch [52350] Speed: 11.07 samples/sec Train-Accuracy=0.814286
2016-09-25 08:49:25,060 Epoch[4] Batch [52400] Speed: 11.07 samples/sec Train-Accuracy=0.808571
2016-09-25 08:50:01,288 Epoch[4] Batch [52450] Speed: 11.04 samples/sec Train-Accuracy=0.792857
2016-09-25 08:50:37,547 Epoch[4] Batch [52500] Speed: 11.03 samples/sec Train-Accuracy=0.772857
2016-09-25 08:51:13,812 Epoch[4] Batch [52550] Speed: 11.03 samples/sec Train-Accuracy=0.804286
2016-09-25 08:51:50,095 Epoch[4] Batch [52600] Speed: 11.02 samples/sec Train-Accuracy=0.801429
2016-09-25 08:52:26,368 Epoch[4] Batch [52650] Speed: 11.03 samples/sec Train-Accuracy=0.772857
2016-09-25 08:53:02,581 Epoch[4] Batch [52700] Speed: 11.05 samples/sec Train-Accuracy=0.804286
2016-09-25 08:53:39,656 Epoch[4] Batch [52750] Speed: 10.79 samples/sec Train-Accuracy=0.792857
2016-09-25 08:54:15,825 Epoch[4] Batch [52800] Speed: 11.06 samples/sec Train-Accuracy=0.805714
2016-09-25 08:54:51,901 Epoch[4] Batch [52850] Speed: 11.09 samples/sec Train-Accuracy=0.811429
2016-09-25 08:55:28,068 Epoch[4] Batch [52900] Speed: 11.06 samples/sec Train-Accuracy=0.760000
2016-09-25 08:56:04,338 Epoch[4] Batch [52950] Speed: 11.03 samples/sec Train-Accuracy=0.808571
2016-09-25 08:56:40,439 Epoch[4] Batch [53000] Speed: 11.08 samples/sec Train-Accuracy=0.830000
2016-09-25 08:57:16,553 Epoch[4] Batch [53050] Speed: 11.08 samples/sec Train-Accuracy=0.792857
2016-09-25 08:57:52,724 Epoch[4] Batch [53100] Speed: 11.06 samples/sec Train-Accuracy=0.795714
2016-09-25 08:58:28,742 Epoch[4] Batch [53150] Speed: 11.11 samples/sec Train-Accuracy=0.801429
2016-09-25 08:59:04,920 Epoch[4] Batch [53200] Speed: 11.06 samples/sec Train-Accuracy=0.771429
2016-09-25 08:59:41,103 Epoch[4] Batch [53250] Speed: 11.05 samples/sec Train-Accuracy=0.765714
2016-09-25 09:00:17,317 Epoch[4] Batch [53300] Speed: 11.05 samples/sec Train-Accuracy=0.825714
2016-09-25 09:00:53,438 Epoch[4] Batch [53350] Speed: 11.07 samples/sec Train-Accuracy=0.797143
2016-09-25 09:01:33,497 Epoch[4] Batch [53400] Speed: 9.99 samples/sec Train-Accuracy=0.774286
2016-09-25 09:02:14,828 Epoch[4] Batch [53450] Speed: 9.68 samples/sec Train-Accuracy=0.797143
2016-09-25 09:02:55,606 Epoch[4] Batch [53500] Speed: 9.81 samples/sec Train-Accuracy=0.797143
2016-09-25 09:03:32,980 Epoch[4] Batch [53550] Speed: 10.70 samples/sec Train-Accuracy=0.781429
2016-09-25 09:04:09,896 Epoch[4] Batch [53600] Speed: 10.84 samples/sec Train-Accuracy=0.791429
2016-09-25 09:04:46,962 Epoch[4] Batch [53650] Speed: 10.79 samples/sec Train-Accuracy=0.775714
2016-09-25 09:05:24,166 Epoch[4] Batch [53700] Speed: 10.75 samples/sec Train-Accuracy=0.802857
2016-09-25 09:06:00,572 Epoch[4] Batch [53750] Speed: 10.99 samples/sec Train-Accuracy=0.831429
2016-09-25 09:06:36,890 Epoch[4] Batch [53800] Speed: 11.01 samples/sec Train-Accuracy=0.771429
2016-09-25 09:07:13,885 Epoch[4] Batch [53850] Speed: 10.81 samples/sec Train-Accuracy=0.785714
2016-09-25 09:07:51,668 Epoch[4] Batch [53900] Speed: 10.59 samples/sec Train-Accuracy=0.781429
2016-09-25 09:08:29,365 Epoch[4] Batch [53950] Speed: 10.61 samples/sec Train-Accuracy=0.811429
2016-09-25 09:09:06,435 Epoch[4] Batch [54000] Speed: 10.79 samples/sec Train-Accuracy=0.771429
2016-09-25 09:09:42,601 Epoch[4] Batch [54050] Speed: 11.06 samples/sec Train-Accuracy=0.768571
2016-09-25 09:10:18,698 Epoch[4] Batch [54100] Speed: 11.08 samples/sec Train-Accuracy=0.767143
2016-09-25 09:10:54,757 Epoch[4] Batch [54150] Speed: 11.09 samples/sec Train-Accuracy=0.794286
2016-09-25 09:11:31,117 Epoch[4] Batch [54200] Speed: 11.00 samples/sec Train-Accuracy=0.768571
2016-09-25 09:12:07,413 Epoch[4] Batch [54250] Speed: 11.02 samples/sec Train-Accuracy=0.808571
2016-09-25 09:12:43,772 Epoch[4] Batch [54300] Speed: 11.00 samples/sec Train-Accuracy=0.812857
2016-09-25 09:13:20,111 Epoch[4] Batch [54350] Speed: 11.01 samples/sec Train-Accuracy=0.792857
2016-09-25 09:13:58,332 Epoch[4] Batch [54400] Speed: 10.47 samples/sec Train-Accuracy=0.810000
2016-09-25 09:14:39,357 Epoch[4] Batch [54450] Speed: 9.75 samples/sec Train-Accuracy=0.805714
2016-09-25 09:15:17,372 Epoch[4] Batch [54500] Speed: 10.52 samples/sec Train-Accuracy=0.812857
2016-09-25 09:15:53,948 Epoch[4] Batch [54550] Speed: 10.94 samples/sec Train-Accuracy=0.811429
2016-09-25 09:16:30,164 Epoch[4] Batch [54600] Speed: 11.05 samples/sec Train-Accuracy=0.738571
2016-09-25 09:17:09,684 Epoch[4] Batch [54650] Speed: 10.12 samples/sec Train-Accuracy=0.775714
2016-09-25 09:17:46,080 Epoch[4] Batch [54700] Speed: 10.99 samples/sec Train-Accuracy=0.760000
2016-09-25 09:18:22,640 Epoch[4] Batch [54750] Speed: 10.94 samples/sec Train-Accuracy=0.810000
2016-09-25 09:18:59,323 Epoch[4] Batch [54800] Speed: 10.90 samples/sec Train-Accuracy=0.795714
2016-09-25 09:19:36,735 Epoch[4] Batch [54850] Speed: 10.69 samples/sec Train-Accuracy=0.797143
2016-09-25 09:20:15,047 Epoch[4] Batch [54900] Speed: 10.44 samples/sec Train-Accuracy=0.801429
2016-09-25 09:20:57,047 Epoch[4] Batch [54950] Speed: 9.52 samples/sec Train-Accuracy=0.804286
2016-09-25 09:21:35,883 Epoch[4] Batch [55000] Speed: 10.30 samples/sec Train-Accuracy=0.774286
2016-09-25 09:22:14,475 Epoch[4] Batch [55050] Speed: 10.37 samples/sec Train-Accuracy=0.784286
2016-09-25 09:22:51,874 Epoch[4] Batch [55100] Speed: 10.70 samples/sec Train-Accuracy=0.817143
2016-09-25 09:23:29,237 Epoch[4] Batch [55150] Speed: 10.71 samples/sec Train-Accuracy=0.767143
2016-09-25 09:24:06,570 Epoch[4] Batch [55200] Speed: 10.71 samples/sec Train-Accuracy=0.808571
2016-09-25 09:24:43,954 Epoch[4] Batch [55250] Speed: 10.70 samples/sec Train-Accuracy=0.791429
2016-09-25 09:25:21,350 Epoch[4] Batch [55300] Speed: 10.70 samples/sec Train-Accuracy=0.774286
2016-09-25 09:25:58,664 Epoch[4] Batch [55350] Speed: 10.72 samples/sec Train-Accuracy=0.765714
2016-09-25 09:26:36,012 Epoch[4] Batch [55400] Speed: 10.71 samples/sec Train-Accuracy=0.794286
2016-09-25 09:27:13,736 Epoch[4] Batch [55450] Speed: 10.60 samples/sec Train-Accuracy=0.795714
2016-09-25 09:27:51,056 Epoch[4] Batch [55500] Speed: 10.72 samples/sec Train-Accuracy=0.810000
2016-09-25 09:28:28,377 Epoch[4] Batch [55550] Speed: 10.72 samples/sec Train-Accuracy=0.798571
2016-09-25 09:29:05,517 Epoch[4] Batch [55600] Speed: 10.77 samples/sec Train-Accuracy=0.791429
2016-09-25 09:29:42,629 Epoch[4] Batch [55650] Speed: 10.78 samples/sec Train-Accuracy=0.788571
2016-09-25 09:30:21,239 Epoch[4] Batch [55700] Speed: 10.36 samples/sec Train-Accuracy=0.807143
2016-09-25 09:30:58,911 Epoch[4] Batch [55750] Speed: 10.62 samples/sec Train-Accuracy=0.811429
2016-09-25 09:31:36,690 Epoch[4] Batch [55800] Speed: 10.59 samples/sec Train-Accuracy=0.802857
2016-09-25 09:32:13,860 Epoch[4] Batch [55850] Speed: 10.76 samples/sec Train-Accuracy=0.762857
2016-09-25 09:32:51,571 Epoch[4] Batch [55900] Speed: 10.61 samples/sec Train-Accuracy=0.770000
2016-09-25 09:33:29,714 Epoch[4] Batch [55950] Speed: 10.49 samples/sec Train-Accuracy=0.800000
2016-09-25 09:34:07,131 Epoch[4] Batch [56000] Speed: 10.69 samples/sec Train-Accuracy=0.777143
2016-09-25 09:34:44,479 Epoch[4] Batch [56050] Speed: 10.71 samples/sec Train-Accuracy=0.808571
2016-09-25 09:35:21,688 Epoch[4] Batch [56100] Speed: 10.75 samples/sec Train-Accuracy=0.814286
2016-09-25 09:35:59,116 Epoch[4] Batch [56150] Speed: 10.69 samples/sec Train-Accuracy=0.818571
2016-09-25 09:36:36,825 Epoch[4] Batch [56200] Speed: 10.61 samples/sec Train-Accuracy=0.814286
2016-09-25 09:37:14,267 Epoch[4] Batch [56250] Speed: 10.68 samples/sec Train-Accuracy=0.768571
2016-09-25 09:37:51,587 Epoch[4] Batch [56300] Speed: 10.72 samples/sec Train-Accuracy=0.775714
2016-09-25 09:38:28,842 Epoch[4] Batch [56350] Speed: 10.74 samples/sec Train-Accuracy=0.772857
2016-09-25 09:39:05,996 Epoch[4] Batch [56400] Speed: 10.77 samples/sec Train-Accuracy=0.810000
2016-09-25 09:39:43,502 Epoch[4] Batch [56450] Speed: 10.67 samples/sec Train-Accuracy=0.795714
2016-09-25 09:40:20,688 Epoch[4] Batch [56500] Speed: 10.76 samples/sec Train-Accuracy=0.795714
2016-09-25 09:40:58,306 Epoch[4] Batch [56550] Speed: 10.63 samples/sec Train-Accuracy=0.785714
2016-09-25 09:41:35,578 Epoch[4] Batch [56600] Speed: 10.73 samples/sec Train-Accuracy=0.784286
2016-09-25 09:42:13,361 Epoch[4] Batch [56650] Speed: 10.59 samples/sec Train-Accuracy=0.802857
2016-09-25 09:42:51,426 Epoch[4] Batch [56700] Speed: 10.51 samples/sec Train-Accuracy=0.821429
2016-09-25 09:43:29,453 Epoch[4] Batch [56750] Speed: 10.52 samples/sec Train-Accuracy=0.808571
2016-09-25 09:44:07,074 Epoch[4] Batch [56800] Speed: 10.63 samples/sec Train-Accuracy=0.781429
2016-09-25 09:44:44,463 Epoch[4] Batch [56850] Speed: 10.70 samples/sec Train-Accuracy=0.772857
2016-09-25 09:45:22,562 Epoch[4] Batch [56900] Speed: 10.50 samples/sec Train-Accuracy=0.805714
2016-09-25 09:46:02,172 Epoch[4] Batch [56950] Speed: 10.10 samples/sec Train-Accuracy=0.794286
2016-09-25 09:46:40,048 Epoch[4] Batch [57000] Speed: 10.56 samples/sec Train-Accuracy=0.767143
2016-09-25 09:47:17,047 Epoch[4] Batch [57050] Speed: 10.81 samples/sec Train-Accuracy=0.778571
2016-09-25 09:47:56,093 Epoch[4] Batch [57100] Speed: 10.24 samples/sec Train-Accuracy=0.825714
2016-09-25 09:48:34,333 Epoch[4] Batch [57150] Speed: 10.46 samples/sec Train-Accuracy=0.795714
2016-09-25 09:49:11,891 Epoch[4] Batch [57200] Speed: 10.65 samples/sec Train-Accuracy=0.808571
2016-09-25 09:49:49,329 Epoch[4] Batch [57250] Speed: 10.68 samples/sec Train-Accuracy=0.790000
2016-09-25 09:50:27,218 Epoch[4] Batch [57300] Speed: 10.56 samples/sec Train-Accuracy=0.772857
2016-09-25 09:51:06,397 Epoch[4] Batch [57350] Speed: 10.21 samples/sec Train-Accuracy=0.785714
2016-09-25 09:51:43,547 Epoch[4] Batch [57400] Speed: 10.77 samples/sec Train-Accuracy=0.785714
2016-09-25 09:52:23,045 Epoch[4] Batch [57450] Speed: 10.13 samples/sec Train-Accuracy=0.780000
2016-09-25 09:53:04,770 Epoch[4] Batch [57500] Speed: 9.59 samples/sec Train-Accuracy=0.784286
2016-09-25 09:53:45,633 Epoch[4] Batch [57550] Speed: 9.79 samples/sec Train-Accuracy=0.757143
2016-09-25 09:54:27,014 Epoch[4] Batch [57600] Speed: 9.67 samples/sec Train-Accuracy=0.800000
2016-09-25 09:55:08,672 Epoch[4] Batch [57650] Speed: 9.60 samples/sec Train-Accuracy=0.812857
2016-09-25 09:55:46,056 Epoch[4] Batch [57700] Speed: 10.70 samples/sec Train-Accuracy=0.821429
2016-09-25 09:56:22,992 Epoch[4] Batch [57750] Speed: 10.83 samples/sec Train-Accuracy=0.758571
2016-09-25 09:56:59,930 Epoch[4] Batch [57800] Speed: 10.83 samples/sec Train-Accuracy=0.780000
2016-09-25 09:57:36,904 Epoch[4] Batch [57850] Speed: 10.82 samples/sec Train-Accuracy=0.784286
2016-09-25 09:58:13,923 Epoch[4] Batch [57900] Speed: 10.81 samples/sec Train-Accuracy=0.785714
2016-09-25 09:58:50,961 Epoch[4] Batch [57950] Speed: 10.80 samples/sec Train-Accuracy=0.777143
2016-09-25 09:59:31,999 Epoch[4] Batch [58000] Speed: 9.75 samples/sec Train-Accuracy=0.807143
2016-09-25 10:00:12,944 Epoch[4] Batch [58050] Speed: 9.77 samples/sec Train-Accuracy=0.780000
2016-09-25 10:00:50,278 Epoch[4] Batch [58100] Speed: 10.71 samples/sec Train-Accuracy=0.791429
2016-09-25 10:01:31,100 Epoch[4] Batch [58150] Speed: 9.80 samples/sec Train-Accuracy=0.817143
2016-09-25 10:02:09,655 Epoch[4] Batch [58200] Speed: 10.38 samples/sec Train-Accuracy=0.784286
2016-09-25 10:02:47,654 Epoch[4] Batch [58250] Speed: 10.53 samples/sec Train-Accuracy=0.784286
2016-09-25 10:03:25,666 Epoch[4] Batch [58300] Speed: 10.52 samples/sec Train-Accuracy=0.780000
2016-09-25 10:04:03,850 Epoch[4] Batch [58350] Speed: 10.48 samples/sec Train-Accuracy=0.788571
2016-09-25 10:04:42,057 Epoch[4] Batch [58400] Speed: 10.47 samples/sec Train-Accuracy=0.821429
2016-09-25 10:05:20,033 Epoch[4] Batch [58450] Speed: 10.53 samples/sec Train-Accuracy=0.795714
2016-09-25 10:05:58,245 Epoch[4] Batch [58500] Speed: 10.47 samples/sec Train-Accuracy=0.814286
2016-09-25 10:06:37,083 Epoch[4] Batch [58550] Speed: 10.30 samples/sec Train-Accuracy=0.817143
2016-09-25 10:07:16,499 Epoch[4] Batch [58600] Speed: 10.15 samples/sec Train-Accuracy=0.788571
2016-09-25 10:07:54,467 Epoch[4] Batch [58650] Speed: 10.54 samples/sec Train-Accuracy=0.738571
2016-09-25 10:08:32,555 Epoch[4] Batch [58700] Speed: 10.50 samples/sec Train-Accuracy=0.802857
2016-09-25 10:09:10,852 Epoch[4] Batch [58750] Speed: 10.44 samples/sec Train-Accuracy=0.771429
2016-09-25 10:09:51,390 Epoch[4] Batch [58800] Speed: 9.87 samples/sec Train-Accuracy=0.765714
2016-09-25 10:10:30,375 Epoch[4] Batch [58850] Speed: 10.26 samples/sec Train-Accuracy=0.797143
2016-09-25 10:11:07,872 Epoch[4] Batch [58900] Speed: 10.67 samples/sec Train-Accuracy=0.821429
2016-09-25 10:11:45,019 Epoch[4] Batch [58950] Speed: 10.77 samples/sec Train-Accuracy=0.784286
2016-09-25 10:12:22,531 Epoch[4] Batch [59000] Speed: 10.66 samples/sec Train-Accuracy=0.758571
2016-09-25 10:13:02,090 Epoch[4] Batch [59050] Speed: 10.11 samples/sec Train-Accuracy=0.815714
2016-09-25 10:13:39,284 Epoch[4] Batch [59100] Speed: 10.75 samples/sec Train-Accuracy=0.784286
2016-09-25 10:14:16,619 Epoch[4] Batch [59150] Speed: 10.71 samples/sec Train-Accuracy=0.792857
2016-09-25 10:14:54,071 Epoch[4] Batch [59200] Speed: 10.68 samples/sec Train-Accuracy=0.792857
2016-09-25 10:15:31,622 Epoch[4] Batch [59250] Speed: 10.65 samples/sec Train-Accuracy=0.812857
2016-09-25 10:16:09,144 Epoch[4] Batch [59300] Speed: 10.66 samples/sec Train-Accuracy=0.774286
2016-09-25 10:16:46,723 Epoch[4] Batch [59350] Speed: 10.64 samples/sec Train-Accuracy=0.794286
2016-09-25 10:17:23,989 Epoch[4] Batch [59400] Speed: 10.73 samples/sec Train-Accuracy=0.780000
2016-09-25 10:18:01,448 Epoch[4] Batch [59450] Speed: 10.68 samples/sec Train-Accuracy=0.787143
2016-09-25 10:18:39,180 Epoch[4] Batch [59500] Speed: 10.60 samples/sec Train-Accuracy=0.765714
2016-09-25 10:19:16,518 Epoch[4] Batch [59550] Speed: 10.71 samples/sec Train-Accuracy=0.774286
2016-09-25 10:19:53,861 Epoch[4] Batch [59600] Speed: 10.71 samples/sec Train-Accuracy=0.771429
2016-09-25 10:20:31,084 Epoch[4] Batch [59650] Speed: 10.75 samples/sec Train-Accuracy=0.800000
2016-09-25 10:21:09,174 Epoch[4] Batch [59700] Speed: 10.50 samples/sec Train-Accuracy=0.781429
2016-09-25 10:21:46,134 Epoch[4] Batch [59750] Speed: 10.82 samples/sec Train-Accuracy=0.810000
2016-09-25 10:22:22,454 Epoch[4] Batch [59800] Speed: 11.01 samples/sec Train-Accuracy=0.802857
2016-09-25 10:22:59,291 Epoch[4] Batch [59850] Speed: 10.86 samples/sec Train-Accuracy=0.780000
2016-09-25 10:23:36,150 Epoch[4] Batch [59900] Speed: 10.85 samples/sec Train-Accuracy=0.757143
2016-09-25 10:24:13,060 Epoch[4] Batch [59950] Speed: 10.84 samples/sec Train-Accuracy=0.790000
2016-09-25 10:24:50,003 Epoch[4] Batch [60000] Speed: 10.83 samples/sec Train-Accuracy=0.800000
2016-09-25 10:25:26,897 Epoch[4] Batch [60050] Speed: 10.84 samples/sec Train-Accuracy=0.790000
2016-09-25 10:26:03,791 Epoch[4] Batch [60100] Speed: 10.84 samples/sec Train-Accuracy=0.802857
2016-09-25 10:26:40,638 Epoch[4] Batch [60150] Speed: 10.86 samples/sec Train-Accuracy=0.792857
2016-09-25 10:27:19,067 Epoch[4] Batch [60200] Speed: 10.41 samples/sec Train-Accuracy=0.780000
2016-09-25 10:28:00,904 Epoch[4] Batch [60250] Speed: 9.56 samples/sec Train-Accuracy=0.804286
2016-09-25 10:28:42,656 Epoch[4] Batch [60300] Speed: 9.58 samples/sec Train-Accuracy=0.832857
2016-09-25 10:29:23,747 Epoch[4] Batch [60350] Speed: 9.73 samples/sec Train-Accuracy=0.791429
2016-09-25 10:30:01,611 Epoch[4] Batch [60400] Speed: 10.56 samples/sec Train-Accuracy=0.765714
2016-09-25 10:30:41,561 Epoch[4] Batch [60450] Speed: 10.01 samples/sec Train-Accuracy=0.760000
2016-09-25 10:31:23,111 Epoch[4] Batch [60500] Speed: 9.63 samples/sec Train-Accuracy=0.802857
2016-09-25 10:32:00,222 Epoch[4] Batch [60550] Speed: 10.78 samples/sec Train-Accuracy=0.817143
2016-09-25 10:32:38,694 Epoch[4] Batch [60600] Speed: 10.40 samples/sec Train-Accuracy=0.808571
2016-09-25 10:33:21,631 Epoch[4] Batch [60650] Speed: 9.32 samples/sec Train-Accuracy=0.780000
2016-09-25 10:34:04,342 Epoch[4] Batch [60700] Speed: 9.37 samples/sec Train-Accuracy=0.777143
2016-09-25 10:34:46,318 Epoch[4] Batch [60750] Speed: 9.53 samples/sec Train-Accuracy=0.790000
2016-09-25 10:35:28,832 Epoch[4] Batch [60800] Speed: 9.41 samples/sec Train-Accuracy=0.770000
2016-09-25 10:36:10,605 Epoch[4] Batch [60850] Speed: 9.58 samples/sec Train-Accuracy=0.804286
2016-09-25 10:36:52,799 Epoch[4] Batch [60900] Speed: 9.48 samples/sec Train-Accuracy=0.798571
2016-09-25 10:37:35,204 Epoch[4] Batch [60950] Speed: 9.43 samples/sec Train-Accuracy=0.775714
2016-09-25 10:38:17,405 Epoch[4] Batch [61000] Speed: 9.48 samples/sec Train-Accuracy=0.780000
2016-09-25 10:39:00,575 Epoch[4] Batch [61050] Speed: 9.27 samples/sec Train-Accuracy=0.811429
2016-09-25 10:39:42,798 Epoch[4] Batch [61100] Speed: 9.47 samples/sec Train-Accuracy=0.794286
2016-09-25 10:40:25,446 Epoch[4] Batch [61150] Speed: 9.38 samples/sec Train-Accuracy=0.777143
2016-09-25 10:41:05,552 Epoch[4] Batch [61200] Speed: 9.97 samples/sec Train-Accuracy=0.785714
2016-09-25 10:41:43,651 Epoch[4] Batch [61250] Speed: 10.50 samples/sec Train-Accuracy=0.741429
2016-09-25 10:42:20,413 Epoch[4] Batch [61300] Speed: 10.88 samples/sec Train-Accuracy=0.785714
2016-09-25 10:42:57,276 Epoch[4] Batch [61350] Speed: 10.85 samples/sec Train-Accuracy=0.782857
2016-09-25 10:43:34,077 Epoch[4] Batch [61400] Speed: 10.87 samples/sec Train-Accuracy=0.815714
2016-09-25 10:44:10,773 Epoch[4] Batch [61450] Speed: 10.90 samples/sec Train-Accuracy=0.817143
2016-09-25 10:44:47,509 Epoch[4] Batch [61500] Speed: 10.89 samples/sec Train-Accuracy=0.768571
2016-09-25 10:45:27,248 Epoch[4] Batch [61550] Speed: 10.07 samples/sec Train-Accuracy=0.838571
2016-09-25 10:46:03,807 Epoch[4] Batch [61600] Speed: 10.94 samples/sec Train-Accuracy=0.767143
2016-09-25 10:46:42,020 Epoch[4] Batch [61650] Speed: 10.47 samples/sec Train-Accuracy=0.758571
2016-09-25 10:47:23,811 Epoch[4] Batch [61700] Speed: 9.57 samples/sec Train-Accuracy=0.801429
2016-09-25 10:48:02,138 Epoch[4] Batch [61750] Speed: 10.44 samples/sec Train-Accuracy=0.770000
2016-09-25 10:48:38,480 Epoch[4] Batch [61800] Speed: 11.01 samples/sec Train-Accuracy=0.774286
2016-09-25 10:49:15,025 Epoch[4] Batch [61850] Speed: 10.95 samples/sec Train-Accuracy=0.804286
2016-09-25 10:49:51,536 Epoch[4] Batch [61900] Speed: 10.96 samples/sec Train-Accuracy=0.780000
2016-09-25 10:50:28,119 Epoch[4] Batch [61950] Speed: 10.93 samples/sec Train-Accuracy=0.801429
2016-09-25 10:51:04,692 Epoch[4] Batch [62000] Speed: 10.94 samples/sec Train-Accuracy=0.770000
2016-09-25 10:51:41,105 Epoch[4] Batch [62050] Speed: 10.99 samples/sec Train-Accuracy=0.781429
2016-09-25 10:52:17,576 Epoch[4] Batch [62100] Speed: 10.97 samples/sec Train-Accuracy=0.778571
2016-09-25 10:52:53,975 Epoch[4] Batch [62150] Speed: 10.99 samples/sec Train-Accuracy=0.778571
2016-09-25 10:53:30,589 Epoch[4] Batch [62200] Speed: 10.93 samples/sec Train-Accuracy=0.787143
2016-09-25 10:54:07,875 Epoch[4] Batch [62250] Speed: 10.73 samples/sec Train-Accuracy=0.794286
2016-09-25 10:54:48,559 Epoch[4] Batch [62300] Speed: 9.83 samples/sec Train-Accuracy=0.772857
2016-09-25 10:55:30,831 Epoch[4] Batch [62350] Speed: 9.46 samples/sec Train-Accuracy=0.772857
2016-09-25 10:56:11,315 Epoch[4] Batch [62400] Speed: 9.88 samples/sec Train-Accuracy=0.782857
2016-09-25 10:56:47,720 Epoch[4] Batch [62450] Speed: 10.99 samples/sec Train-Accuracy=0.798571
2016-09-25 10:57:23,998 Epoch[4] Batch [62500] Speed: 11.03 samples/sec Train-Accuracy=0.798571
2016-09-25 10:57:23,999 Epoch[4] Resetting Data Iterator
2016-09-25 10:57:23,999 Epoch[4] Time cost=46814.578
2016-09-25 10:58:14,452 Epoch[4] Validation-Accuracy=0.788571
2016-09-25 10:58:51,475 Epoch[5] Batch [50] Speed: 10.92 samples/sec Train-Accuracy=0.818571
2016-09-25 10:59:28,120 Epoch[5] Batch [100] Speed: 10.92 samples/sec Train-Accuracy=0.822857
2016-09-25 11:00:04,631 Epoch[5] Batch [150] Speed: 10.96 samples/sec Train-Accuracy=0.768571
2016-09-25 11:00:41,141 Epoch[5] Batch [200] Speed: 10.96 samples/sec Train-Accuracy=0.792857
2016-09-25 11:01:17,685 Epoch[5] Batch [250] Speed: 10.95 samples/sec Train-Accuracy=0.782857
2016-09-25 11:01:54,241 Epoch[5] Batch [300] Speed: 10.94 samples/sec Train-Accuracy=0.774286
2016-09-25 11:02:30,803 Epoch[5] Batch [350] Speed: 10.94 samples/sec Train-Accuracy=0.800000
2016-09-25 11:03:07,335 Epoch[5] Batch [400] Speed: 10.95 samples/sec Train-Accuracy=0.771429
2016-09-25 11:03:43,783 Epoch[5] Batch [450] Speed: 10.97 samples/sec Train-Accuracy=0.810000
2016-09-25 11:04:20,762 Epoch[5] Batch [500] Speed: 10.82 samples/sec Train-Accuracy=0.807143
2016-09-25 11:05:02,284 Epoch[5] Batch [550] Speed: 9.63 samples/sec Train-Accuracy=0.792857
2016-09-25 11:05:41,369 Epoch[5] Batch [600] Speed: 10.23 samples/sec Train-Accuracy=0.824286
2016-09-25 11:06:20,302 Epoch[5] Batch [650] Speed: 10.27 samples/sec Train-Accuracy=0.782857
2016-09-25 11:06:59,058 Epoch[5] Batch [700] Speed: 10.32 samples/sec Train-Accuracy=0.788571
2016-09-25 11:07:37,752 Epoch[5] Batch [750] Speed: 10.34 samples/sec Train-Accuracy=0.804286
2016-09-25 11:08:16,643 Epoch[5] Batch [800] Speed: 10.29 samples/sec Train-Accuracy=0.808571
2016-09-25 11:08:56,542 Epoch[5] Batch [850] Speed: 10.03 samples/sec Train-Accuracy=0.770000
2016-09-25 11:09:34,978 Epoch[5] Batch [900] Speed: 10.41 samples/sec Train-Accuracy=0.781429
2016-09-25 11:10:12,379 Epoch[5] Batch [950] Speed: 10.70 samples/sec Train-Accuracy=0.807143
2016-09-25 11:10:48,689 Epoch[5] Batch [1000] Speed: 11.02 samples/sec Train-Accuracy=0.800000
2016-09-25 11:11:24,962 Epoch[5] Batch [1050] Speed: 11.03 samples/sec Train-Accuracy=0.825714
2016-09-25 11:12:01,770 Epoch[5] Batch [1100] Speed: 10.87 samples/sec Train-Accuracy=0.792857
2016-09-25 11:12:38,895 Epoch[5] Batch [1150] Speed: 10.77 samples/sec Train-Accuracy=0.777143
2016-09-25 11:13:16,513 Epoch[5] Batch [1200] Speed: 10.63 samples/sec Train-Accuracy=0.838571
2016-09-25 11:13:54,226 Epoch[5] Batch [1250] Speed: 10.61 samples/sec Train-Accuracy=0.774286
2016-09-25 11:14:32,222 Epoch[5] Batch [1300] Speed: 10.53 samples/sec Train-Accuracy=0.784286
2016-09-25 11:15:09,699 Epoch[5] Batch [1350] Speed: 10.67 samples/sec Train-Accuracy=0.834286
2016-09-25 11:15:47,515 Epoch[5] Batch [1400] Speed: 10.58 samples/sec Train-Accuracy=0.754286
2016-09-25 11:16:26,389 Epoch[5] Batch [1450] Speed: 10.29 samples/sec Train-Accuracy=0.800000
2016-09-25 11:17:03,917 Epoch[5] Batch [1500] Speed: 10.66 samples/sec Train-Accuracy=0.812857
2016-09-25 11:17:41,693 Epoch[5] Batch [1550] Speed: 10.59 samples/sec Train-Accuracy=0.772857
2016-09-25 11:18:19,016 Epoch[5] Batch [1600] Speed: 10.72 samples/sec Train-Accuracy=0.758571
2016-09-25 11:18:55,277 Epoch[5] Batch [1650] Speed: 11.03 samples/sec Train-Accuracy=0.798571
2016-09-25 11:19:31,616 Epoch[5] Batch [1700] Speed: 11.01 samples/sec Train-Accuracy=0.775714
2016-09-25 11:20:10,546 Epoch[5] Batch [1750] Speed: 10.28 samples/sec Train-Accuracy=0.798571
2016-09-25 11:20:48,005 Epoch[5] Batch [1800] Speed: 10.68 samples/sec Train-Accuracy=0.792857
2016-09-25 11:21:25,764 Epoch[5] Batch [1850] Speed: 10.59 samples/sec Train-Accuracy=0.808571
2016-09-25 11:22:03,483 Epoch[5] Batch [1900] Speed: 10.60 samples/sec Train-Accuracy=0.774286
2016-09-25 11:22:42,691 Epoch[5] Batch [1950] Speed: 10.20 samples/sec Train-Accuracy=0.768571
2016-09-25 11:23:20,482 Epoch[5] Batch [2000] Speed: 10.58 samples/sec Train-Accuracy=0.751429
2016-09-25 11:23:57,770 Epoch[5] Batch [2050] Speed: 10.73 samples/sec Train-Accuracy=0.805714
2016-09-25 11:24:34,845 Epoch[5] Batch [2100] Speed: 10.79 samples/sec Train-Accuracy=0.797143
2016-09-25 11:25:12,353 Epoch[5] Batch [2150] Speed: 10.66 samples/sec Train-Accuracy=0.761429
2016-09-25 11:25:51,608 Epoch[5] Batch [2200] Speed: 10.19 samples/sec Train-Accuracy=0.810000
2016-09-25 11:26:33,952 Epoch[5] Batch [2250] Speed: 9.45 samples/sec Train-Accuracy=0.780000
2016-09-25 11:27:10,464 Epoch[5] Batch [2300] Speed: 10.96 samples/sec Train-Accuracy=0.785714
2016-09-25 11:27:46,602 Epoch[5] Batch [2350] Speed: 11.07 samples/sec Train-Accuracy=0.805714
2016-09-25 11:28:22,831 Epoch[5] Batch [2400] Speed: 11.04 samples/sec Train-Accuracy=0.818571
2016-09-25 11:28:59,417 Epoch[5] Batch [2450] Speed: 10.93 samples/sec Train-Accuracy=0.804286
2016-09-25 11:29:36,570 Epoch[5] Batch [2500] Speed: 10.77 samples/sec Train-Accuracy=0.828571
2016-09-25 11:30:12,767 Epoch[5] Batch [2550] Speed: 11.05 samples/sec Train-Accuracy=0.814286
2016-09-25 11:30:48,973 Epoch[5] Batch [2600] Speed: 11.05 samples/sec Train-Accuracy=0.795714
2016-09-25 11:31:26,447 Epoch[5] Batch [2650] Speed: 10.67 samples/sec Train-Accuracy=0.811429
2016-09-25 11:32:05,343 Epoch[5] Batch [2700] Speed: 10.28 samples/sec Train-Accuracy=0.807143
2016-09-25 11:32:43,096 Epoch[5] Batch [2750] Speed: 10.60 samples/sec Train-Accuracy=0.758571
2016-09-25 11:33:20,702 Epoch[5] Batch [2800] Speed: 10.64 samples/sec Train-Accuracy=0.770000
2016-09-25 11:33:58,322 Epoch[5] Batch [2850] Speed: 10.63 samples/sec Train-Accuracy=0.830000
2016-09-25 11:34:35,830 Epoch[5] Batch [2900] Speed: 10.66 samples/sec Train-Accuracy=0.774286
2016-09-25 11:35:13,513 Epoch[5] Batch [2950] Speed: 10.62 samples/sec Train-Accuracy=0.820000
2016-09-25 11:35:51,072 Epoch[5] Batch [3000] Speed: 10.65 samples/sec Train-Accuracy=0.798571
2016-09-25 11:36:30,790 Epoch[5] Batch [3050] Speed: 10.07 samples/sec Train-Accuracy=0.785714
2016-09-25 11:37:08,405 Epoch[5] Batch [3100] Speed: 10.63 samples/sec Train-Accuracy=0.812857
2016-09-25 11:37:45,733 Epoch[5] Batch [3150] Speed: 10.72 samples/sec Train-Accuracy=0.787143
2016-09-25 11:38:23,169 Epoch[5] Batch [3200] Speed: 10.68 samples/sec Train-Accuracy=0.784286
2016-09-25 11:39:00,964 Epoch[5] Batch [3250] Speed: 10.58 samples/sec Train-Accuracy=0.810000
2016-09-25 11:39:37,183 Epoch[5] Batch [3300] Speed: 11.04 samples/sec Train-Accuracy=0.751429
2016-09-25 11:40:13,426 Epoch[5] Batch [3350] Speed: 11.04 samples/sec Train-Accuracy=0.811429
2016-09-25 11:40:49,646 Epoch[5] Batch [3400] Speed: 11.04 samples/sec Train-Accuracy=0.810000
2016-09-25 11:41:25,901 Epoch[5] Batch [3450] Speed: 11.03 samples/sec Train-Accuracy=0.814286
2016-09-25 11:42:02,154 Epoch[5] Batch [3500] Speed: 11.03 samples/sec Train-Accuracy=0.795714
2016-09-25 11:42:38,333 Epoch[5] Batch [3550] Speed: 11.06 samples/sec Train-Accuracy=0.798571
2016-09-25 11:43:14,550 Epoch[5] Batch [3600] Speed: 11.04 samples/sec Train-Accuracy=0.781429
2016-09-25 11:43:52,020 Epoch[5] Batch [3650] Speed: 10.68 samples/sec Train-Accuracy=0.774286
2016-09-25 11:44:30,312 Epoch[5] Batch [3700] Speed: 10.45 samples/sec Train-Accuracy=0.812857
2016-09-25 11:45:07,736 Epoch[5] Batch [3750] Speed: 10.69 samples/sec Train-Accuracy=0.800000
2016-09-25 11:45:45,069 Epoch[5] Batch [3800] Speed: 10.71 samples/sec Train-Accuracy=0.807143
2016-09-25 11:46:22,505 Epoch[5] Batch [3850] Speed: 10.69 samples/sec Train-Accuracy=0.795714
2016-09-25 11:47:00,203 Epoch[5] Batch [3900] Speed: 10.61 samples/sec Train-Accuracy=0.775714
2016-09-25 11:47:38,459 Epoch[5] Batch [3950] Speed: 10.46 samples/sec Train-Accuracy=0.802857
2016-09-25 11:48:14,725 Epoch[5] Batch [4000] Speed: 11.03 samples/sec Train-Accuracy=0.792857
2016-09-25 11:48:50,992 Epoch[5] Batch [4050] Speed: 11.03 samples/sec Train-Accuracy=0.800000
2016-09-25 11:49:26,980 Epoch[5] Batch [4100] Speed: 11.12 samples/sec Train-Accuracy=0.798571
2016-09-25 11:50:03,003 Epoch[5] Batch [4150] Speed: 11.10 samples/sec Train-Accuracy=0.808571
2016-09-25 11:50:39,076 Epoch[5] Batch [4200] Speed: 11.09 samples/sec Train-Accuracy=0.811429
2016-09-25 11:51:15,033 Epoch[5] Batch [4250] Speed: 11.12 samples/sec Train-Accuracy=0.790000
2016-09-25 11:51:51,055 Epoch[5] Batch [4300] Speed: 11.10 samples/sec Train-Accuracy=0.792857
2016-09-25 11:52:26,970 Epoch[5] Batch [4350] Speed: 11.14 samples/sec Train-Accuracy=0.792857
2016-09-25 11:53:04,872 Epoch[5] Batch [4400] Speed: 10.55 samples/sec Train-Accuracy=0.780000
2016-09-25 11:53:41,035 Epoch[5] Batch [4450] Speed: 11.06 samples/sec Train-Accuracy=0.768571
2016-09-25 11:54:17,029 Epoch[5] Batch [4500] Speed: 11.11 samples/sec Train-Accuracy=0.772857
2016-09-25 11:54:52,914 Epoch[5] Batch [4550] Speed: 11.15 samples/sec Train-Accuracy=0.824286
2016-09-25 11:55:32,028 Epoch[5] Batch [4600] Speed: 10.23 samples/sec Train-Accuracy=0.781429
2016-09-25 11:56:12,212 Epoch[5] Batch [4650] Speed: 9.95 samples/sec Train-Accuracy=0.782857
2016-09-25 11:56:48,347 Epoch[5] Batch [4700] Speed: 11.07 samples/sec Train-Accuracy=0.767143
2016-09-25 11:57:30,579 Epoch[5] Batch [4750] Speed: 9.47 samples/sec Train-Accuracy=0.800000
2016-09-25 11:58:13,082 Epoch[5] Batch [4800] Speed: 9.41 samples/sec Train-Accuracy=0.787143
2016-09-25 11:58:55,791 Epoch[5] Batch [4850] Speed: 9.37 samples/sec Train-Accuracy=0.792857
2016-09-25 11:59:32,421 Epoch[5] Batch [4900] Speed: 10.92 samples/sec Train-Accuracy=0.784286
2016-09-25 12:00:08,366 Epoch[5] Batch [4950] Speed: 11.13 samples/sec Train-Accuracy=0.797143
2016-09-25 12:00:44,312 Epoch[5] Batch [5000] Speed: 11.13 samples/sec Train-Accuracy=0.785714
2016-09-25 12:01:20,308 Epoch[5] Batch [5050] Speed: 11.11 samples/sec Train-Accuracy=0.732857
2016-09-25 12:01:59,660 Epoch[5] Batch [5100] Speed: 10.16 samples/sec Train-Accuracy=0.810000
2016-09-25 12:02:35,661 Epoch[5] Batch [5150] Speed: 11.11 samples/sec Train-Accuracy=0.790000
2016-09-25 12:03:12,235 Epoch[5] Batch [5200] Speed: 10.94 samples/sec Train-Accuracy=0.812857
2016-09-25 12:03:49,541 Epoch[5] Batch [5250] Speed: 10.72 samples/sec Train-Accuracy=0.804286
2016-09-25 12:04:26,556 Epoch[5] Batch [5300] Speed: 10.81 samples/sec Train-Accuracy=0.824286
2016-09-25 12:05:05,559 Epoch[5] Batch [5350] Speed: 10.26 samples/sec Train-Accuracy=0.817143
2016-09-25 12:05:47,549 Epoch[5] Batch [5400] Speed: 9.53 samples/sec Train-Accuracy=0.774286
2016-09-25 12:06:28,908 Epoch[5] Batch [5450] Speed: 9.67 samples/sec Train-Accuracy=0.818571
2016-09-25 12:07:10,276 Epoch[5] Batch [5500] Speed: 9.67 samples/sec Train-Accuracy=0.777143
2016-09-25 12:07:47,308 Epoch[5] Batch [5550] Speed: 10.80 samples/sec Train-Accuracy=0.817143
2016-09-25 12:08:24,104 Epoch[5] Batch [5600] Speed: 10.87 samples/sec Train-Accuracy=0.765714
2016-09-25 12:09:02,611 Epoch[5] Batch [5650] Speed: 10.39 samples/sec Train-Accuracy=0.785714
2016-09-25 12:09:44,042 Epoch[5] Batch [5700] Speed: 9.65 samples/sec Train-Accuracy=0.801429
2016-09-25 12:10:25,358 Epoch[5] Batch [5750] Speed: 9.68 samples/sec Train-Accuracy=0.785714
2016-09-25 12:11:06,502 Epoch[5] Batch [5800] Speed: 9.72 samples/sec Train-Accuracy=0.818571
2016-09-25 12:11:48,070 Epoch[5] Batch [5850] Speed: 9.62 samples/sec Train-Accuracy=0.800000
2016-09-25 12:12:29,549 Epoch[5] Batch [5900] Speed: 9.64 samples/sec Train-Accuracy=0.842857
2016-09-25 12:13:11,686 Epoch[5] Batch [5950] Speed: 9.49 samples/sec Train-Accuracy=0.818571
2016-09-25 12:13:53,097 Epoch[5] Batch [6000] Speed: 9.66 samples/sec Train-Accuracy=0.835714
2016-09-25 12:14:34,068 Epoch[5] Batch [6050] Speed: 9.76 samples/sec Train-Accuracy=0.788571
2016-09-25 12:15:13,490 Epoch[5] Batch [6100] Speed: 10.15 samples/sec Train-Accuracy=0.815714
2016-09-25 12:15:50,194 Epoch[5] Batch [6150] Speed: 10.90 samples/sec Train-Accuracy=0.761429
2016-09-25 12:16:26,952 Epoch[5] Batch [6200] Speed: 10.88 samples/sec Train-Accuracy=0.797143
2016-09-25 12:17:03,761 Epoch[5] Batch [6250] Speed: 10.87 samples/sec Train-Accuracy=0.768571
2016-09-25 12:17:40,789 Epoch[5] Batch [6300] Speed: 10.80 samples/sec Train-Accuracy=0.792857
2016-09-25 12:18:17,522 Epoch[5] Batch [6350] Speed: 10.89 samples/sec Train-Accuracy=0.817143
2016-09-25 12:18:54,462 Epoch[5] Batch [6400] Speed: 10.83 samples/sec Train-Accuracy=0.812857
2016-09-25 12:19:31,465 Epoch[5] Batch [6450] Speed: 10.81 samples/sec Train-Accuracy=0.807143
2016-09-25 12:20:09,046 Epoch[5] Batch [6500] Speed: 10.64 samples/sec Train-Accuracy=0.780000
2016-09-25 12:20:49,141 Epoch[5] Batch [6550] Speed: 9.98 samples/sec Train-Accuracy=0.790000
2016-09-25 12:21:30,366 Epoch[5] Batch [6600] Speed: 9.70 samples/sec Train-Accuracy=0.785714
2016-09-25 12:22:07,842 Epoch[5] Batch [6650] Speed: 10.67 samples/sec Train-Accuracy=0.815714
2016-09-25 12:22:45,205 Epoch[5] Batch [6700] Speed: 10.71 samples/sec Train-Accuracy=0.778571
2016-09-25 12:23:24,089 Epoch[5] Batch [6750] Speed: 10.29 samples/sec Train-Accuracy=0.777143
2016-09-25 12:24:04,779 Epoch[5] Batch [6800] Speed: 9.83 samples/sec Train-Accuracy=0.817143
2016-09-25 12:24:41,809 Epoch[5] Batch [6850] Speed: 10.80 samples/sec Train-Accuracy=0.785714
2016-09-25 12:25:18,816 Epoch[5] Batch [6900] Speed: 10.81 samples/sec Train-Accuracy=0.782857
2016-09-25 12:25:55,985 Epoch[5] Batch [6950] Speed: 10.76 samples/sec Train-Accuracy=0.758571
2016-09-25 12:26:33,146 Epoch[5] Batch [7000] Speed: 10.76 samples/sec Train-Accuracy=0.794286
2016-09-25 12:27:10,199 Epoch[5] Batch [7050] Speed: 10.80 samples/sec Train-Accuracy=0.825714
2016-09-25 12:27:47,201 Epoch[5] Batch [7100] Speed: 10.81 samples/sec Train-Accuracy=0.778571
2016-09-25 12:28:24,376 Epoch[5] Batch [7150] Speed: 10.76 samples/sec Train-Accuracy=0.788571
2016-09-25 12:29:01,476 Epoch[5] Batch [7200] Speed: 10.78 samples/sec Train-Accuracy=0.810000
2016-09-25 12:29:38,505 Epoch[5] Batch [7250] Speed: 10.80 samples/sec Train-Accuracy=0.824286
2016-09-25 12:30:19,112 Epoch[5] Batch [7300] Speed: 9.85 samples/sec Train-Accuracy=0.795714
2016-09-25 12:30:59,815 Epoch[5] Batch [7350] Speed: 9.83 samples/sec Train-Accuracy=0.775714
2016-09-25 12:31:39,087 Epoch[5] Batch [7400] Speed: 10.19 samples/sec Train-Accuracy=0.781429
2016-09-25 12:32:16,969 Epoch[5] Batch [7450] Speed: 10.56 samples/sec Train-Accuracy=0.780000
2016-09-25 12:32:55,875 Epoch[5] Batch [7500] Speed: 10.28 samples/sec Train-Accuracy=0.827143
2016-09-25 12:33:34,660 Epoch[5] Batch [7550] Speed: 10.31 samples/sec Train-Accuracy=0.804286
2016-09-25 12:34:13,361 Epoch[5] Batch [7600] Speed: 10.34 samples/sec Train-Accuracy=0.780000
2016-09-25 12:34:51,314 Epoch[5] Batch [7650] Speed: 10.54 samples/sec Train-Accuracy=0.801429
2016-09-25 12:35:27,939 Epoch[5] Batch [7700] Speed: 10.92 samples/sec Train-Accuracy=0.790000
2016-09-25 12:36:08,591 Epoch[5] Batch [7750] Speed: 9.84 samples/sec Train-Accuracy=0.820000
2016-09-25 12:36:51,751 Epoch[5] Batch [7800] Speed: 9.27 samples/sec Train-Accuracy=0.800000
2016-09-25 12:37:34,026 Epoch[5] Batch [7850] Speed: 9.46 samples/sec Train-Accuracy=0.797143
2016-09-25 12:38:16,556 Epoch[5] Batch [7900] Speed: 9.41 samples/sec Train-Accuracy=0.781429
2016-09-25 12:38:59,585 Epoch[5] Batch [7950] Speed: 9.30 samples/sec Train-Accuracy=0.804286
2016-09-25 12:39:36,362 Epoch[5] Batch [8000] Speed: 10.88 samples/sec Train-Accuracy=0.772857
2016-09-25 12:40:12,736 Epoch[5] Batch [8050] Speed: 11.00 samples/sec Train-Accuracy=0.831429
2016-09-25 12:40:49,142 Epoch[5] Batch [8100] Speed: 10.99 samples/sec Train-Accuracy=0.780000
2016-09-25 12:41:25,544 Epoch[5] Batch [8150] Speed: 10.99 samples/sec Train-Accuracy=0.800000
2016-09-25 12:42:01,911 Epoch[5] Batch [8200] Speed: 11.00 samples/sec Train-Accuracy=0.760000
2016-09-25 12:42:38,278 Epoch[5] Batch [8250] Speed: 11.00 samples/sec Train-Accuracy=0.777143
2016-09-25 12:43:14,676 Epoch[5] Batch [8300] Speed: 10.99 samples/sec Train-Accuracy=0.767143
2016-09-25 12:43:55,182 Epoch[5] Batch [8350] Speed: 9.88 samples/sec Train-Accuracy=0.782857
2016-09-25 12:44:37,129 Epoch[5] Batch [8400] Speed: 9.54 samples/sec Train-Accuracy=0.772857
2016-09-25 12:45:18,845 Epoch[5] Batch [8450] Speed: 9.59 samples/sec Train-Accuracy=0.777143
2016-09-25 12:46:02,380 Epoch[5] Batch [8500] Speed: 9.19 samples/sec Train-Accuracy=0.785714
2016-09-25 12:46:45,200 Epoch[5] Batch [8550] Speed: 9.34 samples/sec Train-Accuracy=0.820000
2016-09-25 12:47:27,358 Epoch[5] Batch [8600] Speed: 9.49 samples/sec Train-Accuracy=0.784286
2016-09-25 12:48:08,334 Epoch[5] Batch [8650] Speed: 9.76 samples/sec Train-Accuracy=0.801429
2016-09-25 12:48:49,913 Epoch[5] Batch [8700] Speed: 9.62 samples/sec Train-Accuracy=0.750000
2016-09-25 12:49:31,038 Epoch[5] Batch [8750] Speed: 9.73 samples/sec Train-Accuracy=0.787143
2016-09-25 12:50:10,748 Epoch[5] Batch [8800] Speed: 10.07 samples/sec Train-Accuracy=0.780000
2016-09-25 12:50:47,140 Epoch[5] Batch [8850] Speed: 10.99 samples/sec Train-Accuracy=0.792857
2016-09-25 12:51:23,565 Epoch[5] Batch [8900] Speed: 10.98 samples/sec Train-Accuracy=0.797143
2016-09-25 12:52:00,108 Epoch[5] Batch [8950] Speed: 10.95 samples/sec Train-Accuracy=0.802857
2016-09-25 12:52:36,645 Epoch[5] Batch [9000] Speed: 10.95 samples/sec Train-Accuracy=0.804286
2016-09-25 12:53:17,748 Epoch[5] Batch [9050] Speed: 9.73 samples/sec Train-Accuracy=0.822857
2016-09-25 12:54:01,149 Epoch[5] Batch [9100] Speed: 9.22 samples/sec Train-Accuracy=0.804286
2016-09-25 12:54:43,127 Epoch[5] Batch [9150] Speed: 9.53 samples/sec Train-Accuracy=0.792857
2016-09-25 12:55:27,028 Epoch[5] Batch [9200] Speed: 9.11 samples/sec Train-Accuracy=0.797143
2016-09-25 12:56:10,569 Epoch[5] Batch [9250] Speed: 9.19 samples/sec Train-Accuracy=0.770000
2016-09-25 12:56:51,845 Epoch[5] Batch [9300] Speed: 9.69 samples/sec Train-Accuracy=0.818571
2016-09-25 12:57:34,811 Epoch[5] Batch [9350] Speed: 9.31 samples/sec Train-Accuracy=0.781429
2016-09-25 12:58:18,572 Epoch[5] Batch [9400] Speed: 9.14 samples/sec Train-Accuracy=0.801429
2016-09-25 12:59:00,354 Epoch[5] Batch [9450] Speed: 9.57 samples/sec Train-Accuracy=0.821429
2016-09-25 12:59:44,192 Epoch[5] Batch [9500] Speed: 9.12 samples/sec Train-Accuracy=0.790000
2016-09-25 13:00:25,920 Epoch[5] Batch [9550] Speed: 9.59 samples/sec Train-Accuracy=0.794286
2016-09-25 13:01:02,951 Epoch[5] Batch [9600] Speed: 10.80 samples/sec Train-Accuracy=0.811429
2016-09-25 13:01:39,058 Epoch[5] Batch [9650] Speed: 11.08 samples/sec Train-Accuracy=0.817143
2016-09-25 13:02:18,522 Epoch[5] Batch [9700] Speed: 10.14 samples/sec Train-Accuracy=0.770000
2016-09-25 13:02:56,413 Epoch[5] Batch [9750] Speed: 10.56 samples/sec Train-Accuracy=0.820000
2016-09-25 13:03:33,031 Epoch[5] Batch [9800] Speed: 10.92 samples/sec Train-Accuracy=0.784286
2016-09-25 13:04:09,404 Epoch[5] Batch [9850] Speed: 11.00 samples/sec Train-Accuracy=0.762857
2016-09-25 13:04:45,312 Epoch[5] Batch [9900] Speed: 11.14 samples/sec Train-Accuracy=0.782857
2016-09-25 13:05:25,606 Epoch[5] Batch [9950] Speed: 9.93 samples/sec Train-Accuracy=0.755714
2016-09-25 13:06:03,857 Epoch[5] Batch [10000] Speed: 10.46 samples/sec Train-Accuracy=0.798571
2016-09-25 13:06:41,389 Epoch[5] Batch [10050] Speed: 10.66 samples/sec Train-Accuracy=0.792857
2016-09-25 13:07:21,550 Epoch[5] Batch [10100] Speed: 9.96 samples/sec Train-Accuracy=0.778571
2016-09-25 13:07:59,166 Epoch[5] Batch [10150] Speed: 10.63 samples/sec Train-Accuracy=0.818571
2016-09-25 13:08:37,667 Epoch[5] Batch [10200] Speed: 10.39 samples/sec Train-Accuracy=0.842857
2016-09-25 13:09:16,477 Epoch[5] Batch [10250] Speed: 10.31 samples/sec Train-Accuracy=0.785714
2016-09-25 13:09:55,408 Epoch[5] Batch [10300] Speed: 10.27 samples/sec Train-Accuracy=0.802857
2016-09-25 13:10:31,518 Epoch[5] Batch [10350] Speed: 11.08 samples/sec Train-Accuracy=0.808571
2016-09-25 13:11:07,506 Epoch[5] Batch [10400] Speed: 11.12 samples/sec Train-Accuracy=0.797143
2016-09-25 13:11:46,847 Epoch[5] Batch [10450] Speed: 10.17 samples/sec Train-Accuracy=0.768571
2016-09-25 13:12:23,192 Epoch[5] Batch [10500] Speed: 11.01 samples/sec Train-Accuracy=0.781429
2016-09-25 13:12:59,425 Epoch[5] Batch [10550] Speed: 11.04 samples/sec Train-Accuracy=0.794286
2016-09-25 13:13:37,669 Epoch[5] Batch [10600] Speed: 10.46 samples/sec Train-Accuracy=0.800000
2016-09-25 13:14:14,855 Epoch[5] Batch [10650] Speed: 10.76 samples/sec Train-Accuracy=0.771429
2016-09-25 13:14:52,119 Epoch[5] Batch [10700] Speed: 10.73 samples/sec Train-Accuracy=0.832857
2016-09-25 13:15:30,519 Epoch[5] Batch [10750] Speed: 10.42 samples/sec Train-Accuracy=0.788571
2016-09-25 13:16:11,132 Epoch[5] Batch [10800] Speed: 9.85 samples/sec Train-Accuracy=0.797143
2016-09-25 13:16:47,152 Epoch[5] Batch [10850] Speed: 11.11 samples/sec Train-Accuracy=0.780000
2016-09-25 13:17:23,141 Epoch[5] Batch [10900] Speed: 11.11 samples/sec Train-Accuracy=0.807143
2016-09-25 13:17:59,307 Epoch[5] Batch [10950] Speed: 11.06 samples/sec Train-Accuracy=0.790000
2016-09-25 13:18:35,463 Epoch[5] Batch [11000] Speed: 11.06 samples/sec Train-Accuracy=0.812857
2016-09-25 13:19:12,400 Epoch[5] Batch [11050] Speed: 10.83 samples/sec Train-Accuracy=0.814286
2016-09-25 13:19:54,511 Epoch[5] Batch [11100] Speed: 9.50 samples/sec Train-Accuracy=0.804286
2016-09-25 13:20:35,442 Epoch[5] Batch [11150] Speed: 9.77 samples/sec Train-Accuracy=0.804286
2016-09-25 13:21:12,123 Epoch[5] Batch [11200] Speed: 10.91 samples/sec Train-Accuracy=0.797143
2016-09-25 13:21:48,268 Epoch[5] Batch [11250] Speed: 11.07 samples/sec Train-Accuracy=0.794286
2016-09-25 13:22:24,420 Epoch[5] Batch [11300] Speed: 11.06 samples/sec Train-Accuracy=0.787143
2016-09-25 13:23:00,640 Epoch[5] Batch [11350] Speed: 11.04 samples/sec Train-Accuracy=0.762857
2016-09-25 13:23:37,275 Epoch[5] Batch [11400] Speed: 10.92 samples/sec Train-Accuracy=0.825714
2016-09-25 13:24:13,905 Epoch[5] Batch [11450] Speed: 10.92 samples/sec Train-Accuracy=0.840000
2016-09-25 13:24:49,940 Epoch[5] Batch [11500] Speed: 11.10 samples/sec Train-Accuracy=0.775714
2016-09-25 13:25:26,045 Epoch[5] Batch [11550] Speed: 11.08 samples/sec Train-Accuracy=0.818571
2016-09-25 13:26:06,018 Epoch[5] Batch [11600] Speed: 10.01 samples/sec Train-Accuracy=0.804286
2016-09-25 13:26:42,514 Epoch[5] Batch [11650] Speed: 10.96 samples/sec Train-Accuracy=0.790000
2016-09-25 13:27:18,576 Epoch[5] Batch [11700] Speed: 11.09 samples/sec Train-Accuracy=0.781429
2016-09-25 13:27:54,685 Epoch[5] Batch [11750] Speed: 11.08 samples/sec Train-Accuracy=0.791429
2016-09-25 13:28:30,747 Epoch[5] Batch [11800] Speed: 11.09 samples/sec Train-Accuracy=0.815714
2016-09-25 13:29:06,850 Epoch[5] Batch [11850] Speed: 11.08 samples/sec Train-Accuracy=0.772857
2016-09-25 13:29:42,891 Epoch[5] Batch [11900] Speed: 11.10 samples/sec Train-Accuracy=0.797143
2016-09-25 13:30:18,975 Epoch[5] Batch [11950] Speed: 11.09 samples/sec Train-Accuracy=0.781429
2016-09-25 13:30:55,063 Epoch[5] Batch [12000] Speed: 11.08 samples/sec Train-Accuracy=0.822857
2016-09-25 13:31:31,197 Epoch[5] Batch [12050] Speed: 11.07 samples/sec Train-Accuracy=0.785714
2016-09-25 13:32:07,282 Epoch[5] Batch [12100] Speed: 11.09 samples/sec Train-Accuracy=0.770000
2016-09-25 13:32:43,405 Epoch[5] Batch [12150] Speed: 11.07 samples/sec Train-Accuracy=0.817143
2016-09-25 13:33:19,652 Epoch[5] Batch [12200] Speed: 11.04 samples/sec Train-Accuracy=0.788571
2016-09-25 13:33:55,728 Epoch[5] Batch [12250] Speed: 11.09 samples/sec Train-Accuracy=0.804286
2016-09-25 13:34:32,247 Epoch[5] Batch [12300] Speed: 10.95 samples/sec Train-Accuracy=0.790000
2016-09-25 13:35:12,567 Epoch[5] Batch [12350] Speed: 9.92 samples/sec Train-Accuracy=0.817143
2016-09-25 13:35:48,710 Epoch[5] Batch [12400] Speed: 11.07 samples/sec Train-Accuracy=0.817143
2016-09-25 13:36:24,808 Epoch[5] Batch [12450] Speed: 11.08 samples/sec Train-Accuracy=0.761429
2016-09-25 13:37:00,892 Epoch[5] Batch [12500] Speed: 11.09 samples/sec Train-Accuracy=0.791429
2016-09-25 13:37:37,408 Epoch[5] Batch [12550] Speed: 10.95 samples/sec Train-Accuracy=0.787143
2016-09-25 13:38:13,519 Epoch[5] Batch [12600] Speed: 11.08 samples/sec Train-Accuracy=0.802857
2016-09-25 13:38:49,606 Epoch[5] Batch [12650] Speed: 11.08 samples/sec Train-Accuracy=0.790000
2016-09-25 13:39:25,723 Epoch[5] Batch [12700] Speed: 11.08 samples/sec Train-Accuracy=0.821429
2016-09-25 13:40:01,863 Epoch[5] Batch [12750] Speed: 11.07 samples/sec Train-Accuracy=0.818571
2016-09-25 13:40:38,002 Epoch[5] Batch [12800] Speed: 11.07 samples/sec Train-Accuracy=0.805714
2016-09-25 13:41:14,158 Epoch[5] Batch [12850] Speed: 11.06 samples/sec Train-Accuracy=0.761429
2016-09-25 13:41:53,150 Epoch[5] Batch [12900] Speed: 10.26 samples/sec Train-Accuracy=0.817143
2016-09-25 13:42:33,391 Epoch[5] Batch [12950] Speed: 9.94 samples/sec Train-Accuracy=0.795714
2016-09-25 13:43:11,520 Epoch[5] Batch [13000] Speed: 10.49 samples/sec Train-Accuracy=0.807143
2016-09-25 13:43:53,062 Epoch[5] Batch [13050] Speed: 9.63 samples/sec Train-Accuracy=0.797143
2016-09-25 13:44:31,808 Epoch[5] Batch [13100] Speed: 10.32 samples/sec Train-Accuracy=0.825714
2016-09-25 13:45:09,363 Epoch[5] Batch [13150] Speed: 10.65 samples/sec Train-Accuracy=0.797143
2016-09-25 13:45:46,579 Epoch[5] Batch [13200] Speed: 10.75 samples/sec Train-Accuracy=0.805714
2016-09-25 13:46:23,871 Epoch[5] Batch [13250] Speed: 10.73 samples/sec Train-Accuracy=0.757143
2016-09-25 13:47:01,353 Epoch[5] Batch [13300] Speed: 10.67 samples/sec Train-Accuracy=0.780000
2016-09-25 13:47:37,831 Epoch[5] Batch [13350] Speed: 10.97 samples/sec Train-Accuracy=0.801429
2016-09-25 13:48:17,857 Epoch[5] Batch [13400] Speed: 9.99 samples/sec Train-Accuracy=0.815714
2016-09-25 13:48:57,952 Epoch[5] Batch [13450] Speed: 9.98 samples/sec Train-Accuracy=0.795714
2016-09-25 13:49:36,743 Epoch[5] Batch [13500] Speed: 10.31 samples/sec Train-Accuracy=0.795714
2016-09-25 13:50:15,858 Epoch[5] Batch [13550] Speed: 10.23 samples/sec Train-Accuracy=0.800000
2016-09-25 13:50:54,270 Epoch[5] Batch [13600] Speed: 10.41 samples/sec Train-Accuracy=0.808571
2016-09-25 13:51:31,986 Epoch[5] Batch [13650] Speed: 10.61 samples/sec Train-Accuracy=0.805714
2016-09-25 13:52:10,095 Epoch[5] Batch [13700] Speed: 10.50 samples/sec Train-Accuracy=0.800000
2016-09-25 13:52:47,477 Epoch[5] Batch [13750] Speed: 10.70 samples/sec Train-Accuracy=0.802857
2016-09-25 13:53:23,476 Epoch[5] Batch [13800] Speed: 11.11 samples/sec Train-Accuracy=0.831429
2016-09-25 13:53:59,579 Epoch[5] Batch [13850] Speed: 11.08 samples/sec Train-Accuracy=0.788571
2016-09-25 13:54:35,584 Epoch[5] Batch [13900] Speed: 11.11 samples/sec Train-Accuracy=0.784286
2016-09-25 13:55:11,601 Epoch[5] Batch [13950] Speed: 11.11 samples/sec Train-Accuracy=0.798571
2016-09-25 13:55:47,561 Epoch[5] Batch [14000] Speed: 11.12 samples/sec Train-Accuracy=0.804286
2016-09-25 13:56:23,578 Epoch[5] Batch [14050] Speed: 11.11 samples/sec Train-Accuracy=0.798571
2016-09-25 13:56:59,488 Epoch[5] Batch [14100] Speed: 11.14 samples/sec Train-Accuracy=0.788571
2016-09-25 13:57:35,586 Epoch[5] Batch [14150] Speed: 11.08 samples/sec Train-Accuracy=0.807143
2016-09-25 13:58:12,009 Epoch[5] Batch [14200] Speed: 10.98 samples/sec Train-Accuracy=0.778571
2016-09-25 13:58:48,426 Epoch[5] Batch [14250] Speed: 10.98 samples/sec Train-Accuracy=0.777143
2016-09-25 13:59:24,478 Epoch[5] Batch [14300] Speed: 11.10 samples/sec Train-Accuracy=0.802857
2016-09-25 14:00:00,544 Epoch[5] Batch [14350] Speed: 11.09 samples/sec Train-Accuracy=0.801429
2016-09-25 14:00:36,634 Epoch[5] Batch [14400] Speed: 11.08 samples/sec Train-Accuracy=0.804286
2016-09-25 14:01:12,717 Epoch[5] Batch [14450] Speed: 11.09 samples/sec Train-Accuracy=0.820000
2016-09-25 14:01:48,900 Epoch[5] Batch [14500] Speed: 11.05 samples/sec Train-Accuracy=0.788571
2016-09-25 14:02:25,229 Epoch[5] Batch [14550] Speed: 11.01 samples/sec Train-Accuracy=0.814286
2016-09-25 14:03:01,346 Epoch[5] Batch [14600] Speed: 11.08 samples/sec Train-Accuracy=0.792857
2016-09-25 14:03:37,458 Epoch[5] Batch [14650] Speed: 11.08 samples/sec Train-Accuracy=0.797143
2016-09-25 14:04:13,520 Epoch[5] Batch [14700] Speed: 11.09 samples/sec Train-Accuracy=0.785714
2016-09-25 14:04:49,622 Epoch[5] Batch [14750] Speed: 11.08 samples/sec Train-Accuracy=0.822857
2016-09-25 14:05:25,721 Epoch[5] Batch [14800] Speed: 11.08 samples/sec Train-Accuracy=0.791429
2016-09-25 14:06:01,732 Epoch[5] Batch [14850] Speed: 11.11 samples/sec Train-Accuracy=0.825714
2016-09-25 14:06:38,086 Epoch[5] Batch [14900] Speed: 11.00 samples/sec Train-Accuracy=0.812857
2016-09-25 14:07:14,354 Epoch[5] Batch [14950] Speed: 11.03 samples/sec Train-Accuracy=0.824286
2016-09-25 14:07:50,370 Epoch[5] Batch [15000] Speed: 11.11 samples/sec Train-Accuracy=0.802857
2016-09-25 14:08:26,567 Epoch[5] Batch [15050] Speed: 11.05 samples/sec Train-Accuracy=0.787143
2016-09-25 14:09:02,591 Epoch[5] Batch [15100] Speed: 11.10 samples/sec Train-Accuracy=0.784286
2016-09-25 14:09:38,612 Epoch[5] Batch [15150] Speed: 11.10 samples/sec Train-Accuracy=0.822857
2016-09-25 14:10:14,694 Epoch[5] Batch [15200] Speed: 11.09 samples/sec Train-Accuracy=0.802857
2016-09-25 14:10:50,830 Epoch[5] Batch [15250] Speed: 11.07 samples/sec Train-Accuracy=0.802857
2016-09-25 14:11:26,911 Epoch[5] Batch [15300] Speed: 11.09 samples/sec Train-Accuracy=0.804286
2016-09-25 14:12:02,965 Epoch[5] Batch [15350] Speed: 11.09 samples/sec Train-Accuracy=0.795714
2016-09-25 14:12:39,036 Epoch[5] Batch [15400] Speed: 11.09 samples/sec Train-Accuracy=0.798571
2016-09-25 14:13:16,003 Epoch[5] Batch [15450] Speed: 10.82 samples/sec Train-Accuracy=0.812857
2016-09-25 14:13:52,313 Epoch[5] Batch [15500] Speed: 11.02 samples/sec Train-Accuracy=0.768571
2016-09-25 14:14:28,523 Epoch[5] Batch [15550] Speed: 11.05 samples/sec Train-Accuracy=0.804286
2016-09-25 14:15:04,806 Epoch[5] Batch [15600] Speed: 11.02 samples/sec Train-Accuracy=0.824286
2016-09-25 14:15:40,959 Epoch[5] Batch [15650] Speed: 11.06 samples/sec Train-Accuracy=0.792857
2016-09-25 14:16:18,096 Epoch[5] Batch [15700] Speed: 10.77 samples/sec Train-Accuracy=0.788571
2016-09-25 14:16:54,232 Epoch[5] Batch [15750] Speed: 11.07 samples/sec Train-Accuracy=0.801429
2016-09-25 14:17:30,635 Epoch[5] Batch [15800] Speed: 10.99 samples/sec Train-Accuracy=0.807143
2016-09-25 14:18:07,263 Epoch[5] Batch [15850] Speed: 10.92 samples/sec Train-Accuracy=0.820000
2016-09-25 14:18:43,437 Epoch[5] Batch [15900] Speed: 11.06 samples/sec Train-Accuracy=0.792857
2016-09-25 14:19:19,569 Epoch[5] Batch [15950] Speed: 11.07 samples/sec Train-Accuracy=0.781429
2016-09-25 14:19:55,772 Epoch[5] Batch [16000] Speed: 11.05 samples/sec Train-Accuracy=0.792857
2016-09-25 14:20:31,878 Epoch[5] Batch [16050] Speed: 11.08 samples/sec Train-Accuracy=0.792857
2016-09-25 14:21:08,104 Epoch[5] Batch [16100] Speed: 11.04 samples/sec Train-Accuracy=0.787143
2016-09-25 14:21:44,574 Epoch[5] Batch [16150] Speed: 10.97 samples/sec Train-Accuracy=0.778571
2016-09-25 14:22:21,691 Epoch[5] Batch [16200] Speed: 10.78 samples/sec Train-Accuracy=0.795714
2016-09-25 14:22:59,086 Epoch[5] Batch [16250] Speed: 10.70 samples/sec Train-Accuracy=0.785714
2016-09-25 14:23:36,248 Epoch[5] Batch [16300] Speed: 10.76 samples/sec Train-Accuracy=0.801429
2016-09-25 14:24:13,775 Epoch[5] Batch [16350] Speed: 10.66 samples/sec Train-Accuracy=0.790000
2016-09-25 14:24:51,884 Epoch[5] Batch [16400] Speed: 10.50 samples/sec Train-Accuracy=0.785714
2016-09-25 14:25:29,428 Epoch[5] Batch [16450] Speed: 10.65 samples/sec Train-Accuracy=0.777143
2016-09-25 14:26:07,016 Epoch[5] Batch [16500] Speed: 10.64 samples/sec Train-Accuracy=0.770000
2016-09-25 14:26:44,441 Epoch[5] Batch [16550] Speed: 10.69 samples/sec Train-Accuracy=0.820000
2016-09-25 14:27:22,378 Epoch[5] Batch [16600] Speed: 10.54 samples/sec Train-Accuracy=0.771429
2016-09-25 14:28:00,461 Epoch[5] Batch [16650] Speed: 10.50 samples/sec Train-Accuracy=0.794286
2016-09-25 14:28:39,040 Epoch[5] Batch [16700] Speed: 10.37 samples/sec Train-Accuracy=0.800000
2016-09-25 14:29:17,813 Epoch[5] Batch [16750] Speed: 10.32 samples/sec Train-Accuracy=0.794286
2016-09-25 14:29:56,918 Epoch[5] Batch [16800] Speed: 10.23 samples/sec Train-Accuracy=0.805714
2016-09-25 14:30:36,049 Epoch[5] Batch [16850] Speed: 10.22 samples/sec Train-Accuracy=0.837143
2016-09-25 14:31:14,424 Epoch[5] Batch [16900] Speed: 10.42 samples/sec Train-Accuracy=0.800000
2016-09-25 14:31:52,761 Epoch[5] Batch [16950] Speed: 10.43 samples/sec Train-Accuracy=0.810000
2016-09-25 14:32:31,166 Epoch[5] Batch [17000] Speed: 10.42 samples/sec Train-Accuracy=0.818571
2016-09-25 14:33:09,625 Epoch[5] Batch [17050] Speed: 10.40 samples/sec Train-Accuracy=0.832857
2016-09-25 14:33:47,624 Epoch[5] Batch [17100] Speed: 10.53 samples/sec Train-Accuracy=0.797143
2016-09-25 14:34:25,534 Epoch[5] Batch [17150] Speed: 10.55 samples/sec Train-Accuracy=0.797143
2016-09-25 14:35:03,776 Epoch[5] Batch [17200] Speed: 10.46 samples/sec Train-Accuracy=0.790000
2016-09-25 14:35:42,106 Epoch[5] Batch [17250] Speed: 10.44 samples/sec Train-Accuracy=0.810000
2016-09-25 14:36:20,532 Epoch[5] Batch [17300] Speed: 10.41 samples/sec Train-Accuracy=0.792857
2016-09-25 14:36:58,891 Epoch[5] Batch [17350] Speed: 10.43 samples/sec Train-Accuracy=0.775714
2016-09-25 14:37:38,421 Epoch[5] Batch [17400] Speed: 10.12 samples/sec Train-Accuracy=0.798571
2016-09-25 14:38:19,062 Epoch[5] Batch [17450] Speed: 9.84 samples/sec Train-Accuracy=0.821429
2016-09-25 14:38:58,518 Epoch[5] Batch [17500] Speed: 10.14 samples/sec Train-Accuracy=0.781429
2016-09-25 14:39:38,280 Epoch[5] Batch [17550] Speed: 10.06 samples/sec Train-Accuracy=0.787143
2016-09-25 14:40:18,039 Epoch[5] Batch [17600] Speed: 10.06 samples/sec Train-Accuracy=0.811429
2016-09-25 14:40:56,926 Epoch[5] Batch [17650] Speed: 10.29 samples/sec Train-Accuracy=0.808571
2016-09-25 14:41:35,894 Epoch[5] Batch [17700] Speed: 10.26 samples/sec Train-Accuracy=0.835714
2016-09-25 14:42:16,586 Epoch[5] Batch [17750] Speed: 9.83 samples/sec Train-Accuracy=0.792857
2016-09-25 14:42:56,542 Epoch[5] Batch [17800] Speed: 10.01 samples/sec Train-Accuracy=0.808571
2016-09-25 14:43:36,203 Epoch[5] Batch [17850] Speed: 10.09 samples/sec Train-Accuracy=0.807143
2016-09-25 14:44:15,042 Epoch[5] Batch [17900] Speed: 10.30 samples/sec Train-Accuracy=0.772857
2016-09-25 14:44:52,884 Epoch[5] Batch [17950] Speed: 10.57 samples/sec Train-Accuracy=0.787143
2016-09-25 14:45:30,671 Epoch[5] Batch [18000] Speed: 10.59 samples/sec Train-Accuracy=0.811429
2016-09-25 14:46:08,443 Epoch[5] Batch [18050] Speed: 10.59 samples/sec Train-Accuracy=0.818571
2016-09-25 14:46:46,148 Epoch[5] Batch [18100] Speed: 10.61 samples/sec Train-Accuracy=0.778571
2016-09-25 14:47:23,686 Epoch[5] Batch [18150] Speed: 10.66 samples/sec Train-Accuracy=0.801429
2016-09-25 14:48:01,281 Epoch[5] Batch [18200] Speed: 10.64 samples/sec Train-Accuracy=0.774286
2016-09-25 14:48:39,220 Epoch[5] Batch [18250] Speed: 10.54 samples/sec Train-Accuracy=0.787143
2016-09-25 14:49:18,946 Epoch[5] Batch [18300] Speed: 10.07 samples/sec Train-Accuracy=0.820000
2016-09-25 14:49:56,794 Epoch[5] Batch [18350] Speed: 10.57 samples/sec Train-Accuracy=0.794286
2016-09-25 14:50:35,302 Epoch[5] Batch [18400] Speed: 10.39 samples/sec Train-Accuracy=0.768571
2016-09-25 14:51:13,362 Epoch[5] Batch [18450] Speed: 10.51 samples/sec Train-Accuracy=0.801429
2016-09-25 14:51:51,289 Epoch[5] Batch [18500] Speed: 10.55 samples/sec Train-Accuracy=0.815714
2016-09-25 14:52:29,208 Epoch[5] Batch [18550] Speed: 10.55 samples/sec Train-Accuracy=0.812857
2016-09-25 14:53:07,193 Epoch[5] Batch [18600] Speed: 10.53 samples/sec Train-Accuracy=0.768571
2016-09-25 14:53:45,326 Epoch[5] Batch [18650] Speed: 10.49 samples/sec Train-Accuracy=0.785714
2016-09-25 14:54:26,139 Epoch[5] Batch [18700] Speed: 9.80 samples/sec Train-Accuracy=0.800000
2016-09-25 14:55:06,422 Epoch[5] Batch [18750] Speed: 9.93 samples/sec Train-Accuracy=0.770000
2016-09-25 14:55:47,820 Epoch[5] Batch [18800] Speed: 9.66 samples/sec Train-Accuracy=0.805714
2016-09-25 14:56:27,502 Epoch[5] Batch [18850] Speed: 10.08 samples/sec Train-Accuracy=0.768571
2016-09-25 14:57:05,202 Epoch[5] Batch [18900] Speed: 10.61 samples/sec Train-Accuracy=0.800000
2016-09-25 14:57:43,872 Epoch[5] Batch [18950] Speed: 10.34 samples/sec Train-Accuracy=0.781429
2016-09-25 14:58:21,793 Epoch[5] Batch [19000] Speed: 10.55 samples/sec Train-Accuracy=0.810000
2016-09-25 14:58:58,779 Epoch[5] Batch [19050] Speed: 10.82 samples/sec Train-Accuracy=0.790000
2016-09-25 14:59:35,411 Epoch[5] Batch [19100] Speed: 10.92 samples/sec Train-Accuracy=0.804286
2016-09-25 15:00:11,853 Epoch[5] Batch [19150] Speed: 10.98 samples/sec Train-Accuracy=0.767143
2016-09-25 15:00:48,430 Epoch[5] Batch [19200] Speed: 10.94 samples/sec Train-Accuracy=0.790000
2016-09-25 15:01:25,015 Epoch[5] Batch [19250] Speed: 10.93 samples/sec Train-Accuracy=0.784286
2016-09-25 15:02:01,514 Epoch[5] Batch [19300] Speed: 10.96 samples/sec Train-Accuracy=0.835714
2016-09-25 15:02:39,231 Epoch[5] Batch [19350] Speed: 10.61 samples/sec Train-Accuracy=0.818571
2016-09-25 15:03:20,924 Epoch[5] Batch [19400] Speed: 9.59 samples/sec Train-Accuracy=0.802857
2016-09-25 15:03:57,760 Epoch[5] Batch [19450] Speed: 10.86 samples/sec Train-Accuracy=0.805714
2016-09-25 15:04:37,191 Epoch[5] Batch [19500] Speed: 10.14 samples/sec Train-Accuracy=0.841429
2016-09-25 15:05:13,628 Epoch[5] Batch [19550] Speed: 10.98 samples/sec Train-Accuracy=0.787143
2016-09-25 15:05:49,737 Epoch[5] Batch [19600] Speed: 11.08 samples/sec Train-Accuracy=0.812857
2016-09-25 15:06:26,346 Epoch[5] Batch [19650] Speed: 10.93 samples/sec Train-Accuracy=0.840000
2016-09-25 15:07:04,015 Epoch[5] Batch [19700] Speed: 10.62 samples/sec Train-Accuracy=0.787143
2016-09-25 15:07:41,909 Epoch[5] Batch [19750] Speed: 10.56 samples/sec Train-Accuracy=0.777143
2016-09-25 15:08:19,041 Epoch[5] Batch [19800] Speed: 10.77 samples/sec Train-Accuracy=0.782857
2016-09-25 15:08:55,809 Epoch[5] Batch [19850] Speed: 10.88 samples/sec Train-Accuracy=0.767143
2016-09-25 15:09:32,301 Epoch[5] Batch [19900] Speed: 10.96 samples/sec Train-Accuracy=0.828571
2016-09-25 15:10:08,854 Epoch[5] Batch [19950] Speed: 10.94 samples/sec Train-Accuracy=0.775714
2016-09-25 15:10:45,313 Epoch[5] Batch [20000] Speed: 10.97 samples/sec Train-Accuracy=0.788571
2016-09-25 15:11:21,800 Epoch[5] Batch [20050] Speed: 10.96 samples/sec Train-Accuracy=0.797143
2016-09-25 15:11:58,726 Epoch[5] Batch [20100] Speed: 10.83 samples/sec Train-Accuracy=0.830000
2016-09-25 15:12:35,365 Epoch[5] Batch [20150] Speed: 10.92 samples/sec Train-Accuracy=0.835714
2016-09-25 15:13:11,818 Epoch[5] Batch [20200] Speed: 10.97 samples/sec Train-Accuracy=0.785714
2016-09-25 15:13:48,195 Epoch[5] Batch [20250] Speed: 11.00 samples/sec Train-Accuracy=0.794286
2016-09-25 15:14:24,650 Epoch[5] Batch [20300] Speed: 10.97 samples/sec Train-Accuracy=0.780000
2016-09-25 15:15:01,131 Epoch[5] Batch [20350] Speed: 10.96 samples/sec Train-Accuracy=0.831429
2016-09-25 15:15:37,517 Epoch[5] Batch [20400] Speed: 10.99 samples/sec Train-Accuracy=0.804286
2016-09-25 15:16:14,027 Epoch[5] Batch [20450] Speed: 10.96 samples/sec Train-Accuracy=0.791429
2016-09-25 15:16:50,478 Epoch[5] Batch [20500] Speed: 10.97 samples/sec Train-Accuracy=0.788571
2016-09-25 15:17:27,093 Epoch[5] Batch [20550] Speed: 10.92 samples/sec Train-Accuracy=0.814286
2016-09-25 15:18:03,457 Epoch[5] Batch [20600] Speed: 11.00 samples/sec Train-Accuracy=0.815714
2016-09-25 15:18:39,821 Epoch[5] Batch [20650] Speed: 11.00 samples/sec Train-Accuracy=0.771429
2016-09-25 15:19:18,827 Epoch[5] Batch [20700] Speed: 10.25 samples/sec Train-Accuracy=0.791429
2016-09-25 15:19:56,061 Epoch[5] Batch [20750] Speed: 10.74 samples/sec Train-Accuracy=0.792857
2016-09-25 15:20:35,248 Epoch[5] Batch [20800] Speed: 10.21 samples/sec Train-Accuracy=0.784286
2016-09-25 15:21:13,068 Epoch[5] Batch [20850] Speed: 10.58 samples/sec Train-Accuracy=0.781429
2016-09-25 15:21:50,925 Epoch[5] Batch [20900] Speed: 10.57 samples/sec Train-Accuracy=0.810000
2016-09-25 15:22:27,744 Epoch[5] Batch [20950] Speed: 10.86 samples/sec Train-Accuracy=0.805714
2016-09-25 15:23:05,582 Epoch[5] Batch [21000] Speed: 10.57 samples/sec Train-Accuracy=0.807143
2016-09-25 15:23:42,840 Epoch[5] Batch [21050] Speed: 10.74 samples/sec Train-Accuracy=0.775714
2016-09-25 15:24:20,658 Epoch[5] Batch [21100] Speed: 10.58 samples/sec Train-Accuracy=0.831429
2016-09-25 15:24:57,492 Epoch[5] Batch [21150] Speed: 10.86 samples/sec Train-Accuracy=0.792857
2016-09-25 15:25:36,397 Epoch[5] Batch [21200] Speed: 10.28 samples/sec Train-Accuracy=0.812857
2016-09-25 15:26:14,086 Epoch[5] Batch [21250] Speed: 10.61 samples/sec Train-Accuracy=0.810000
2016-09-25 15:26:50,828 Epoch[5] Batch [21300] Speed: 10.89 samples/sec Train-Accuracy=0.805714
2016-09-25 15:27:27,092 Epoch[5] Batch [21350] Speed: 11.03 samples/sec Train-Accuracy=0.772857
2016-09-25 15:28:03,317 Epoch[5] Batch [21400] Speed: 11.04 samples/sec Train-Accuracy=0.790000
2016-09-25 15:28:40,050 Epoch[5] Batch [21450] Speed: 10.89 samples/sec Train-Accuracy=0.812857
2016-09-25 15:29:16,140 Epoch[5] Batch [21500] Speed: 11.08 samples/sec Train-Accuracy=0.802857
2016-09-25 15:29:52,284 Epoch[5] Batch [21550] Speed: 11.07 samples/sec Train-Accuracy=0.818571
2016-09-25 15:30:34,423 Epoch[5] Batch [21600] Speed: 9.49 samples/sec Train-Accuracy=0.818571
2016-09-25 15:31:13,448 Epoch[5] Batch [21650] Speed: 10.25 samples/sec Train-Accuracy=0.807143
2016-09-25 15:31:51,349 Epoch[5] Batch [21700] Speed: 10.55 samples/sec Train-Accuracy=0.827143
2016-09-25 15:32:28,762 Epoch[5] Batch [21750] Speed: 10.69 samples/sec Train-Accuracy=0.802857
2016-09-25 15:33:06,134 Epoch[5] Batch [21800] Speed: 10.70 samples/sec Train-Accuracy=0.772857
2016-09-25 15:33:43,335 Epoch[5] Batch [21850] Speed: 10.75 samples/sec Train-Accuracy=0.781429
2016-09-25 15:34:20,423 Epoch[5] Batch [21900] Speed: 10.79 samples/sec Train-Accuracy=0.771429
2016-09-25 15:34:57,555 Epoch[5] Batch [21950] Speed: 10.77 samples/sec Train-Accuracy=0.808571
2016-09-25 15:35:35,030 Epoch[5] Batch [22000] Speed: 10.67 samples/sec Train-Accuracy=0.814286
2016-09-25 15:36:12,509 Epoch[5] Batch [22050] Speed: 10.67 samples/sec Train-Accuracy=0.791429
2016-09-25 15:36:50,203 Epoch[5] Batch [22100] Speed: 10.61 samples/sec Train-Accuracy=0.801429
2016-09-25 15:37:32,155 Epoch[5] Batch [22150] Speed: 9.53 samples/sec Train-Accuracy=0.812857
2016-09-25 15:38:12,641 Epoch[5] Batch [22200] Speed: 9.88 samples/sec Train-Accuracy=0.828571
2016-09-25 15:38:49,046 Epoch[5] Batch [22250] Speed: 10.99 samples/sec Train-Accuracy=0.790000
2016-09-25 15:39:25,238 Epoch[5] Batch [22300] Speed: 11.05 samples/sec Train-Accuracy=0.768571
2016-09-25 15:40:01,496 Epoch[5] Batch [22350] Speed: 11.03 samples/sec Train-Accuracy=0.804286
2016-09-25 15:40:37,693 Epoch[5] Batch [22400] Speed: 11.05 samples/sec Train-Accuracy=0.801429
2016-09-25 15:41:13,987 Epoch[5] Batch [22450] Speed: 11.02 samples/sec Train-Accuracy=0.778571
2016-09-25 15:41:50,393 Epoch[5] Batch [22500] Speed: 10.99 samples/sec Train-Accuracy=0.820000
2016-09-25 15:42:26,679 Epoch[5] Batch [22550] Speed: 11.02 samples/sec Train-Accuracy=0.798571
2016-09-25 15:43:02,988 Epoch[5] Batch [22600] Speed: 11.02 samples/sec Train-Accuracy=0.795714
2016-09-25 15:43:39,255 Epoch[5] Batch [22650] Speed: 11.03 samples/sec Train-Accuracy=0.781429
2016-09-25 15:44:15,553 Epoch[5] Batch [22700] Speed: 11.02 samples/sec Train-Accuracy=0.800000
2016-09-25 15:44:52,045 Epoch[5] Batch [22750] Speed: 10.96 samples/sec Train-Accuracy=0.822857
2016-09-25 15:45:28,359 Epoch[5] Batch [22800] Speed: 11.02 samples/sec Train-Accuracy=0.807143
2016-09-25 15:46:04,747 Epoch[5] Batch [22850] Speed: 10.99 samples/sec Train-Accuracy=0.764286
2016-09-25 15:46:41,265 Epoch[5] Batch [22900] Speed: 10.95 samples/sec Train-Accuracy=0.820000
2016-09-25 15:47:18,337 Epoch[5] Batch [22950] Speed: 10.79 samples/sec Train-Accuracy=0.824286
2016-09-25 15:47:54,716 Epoch[5] Batch [23000] Speed: 11.00 samples/sec Train-Accuracy=0.797143
2016-09-25 15:48:30,984 Epoch[5] Batch [23050] Speed: 11.03 samples/sec Train-Accuracy=0.814286
2016-09-25 15:49:07,436 Epoch[5] Batch [23100] Speed: 10.97 samples/sec Train-Accuracy=0.782857
2016-09-25 15:49:43,869 Epoch[5] Batch [23150] Speed: 10.98 samples/sec Train-Accuracy=0.788571
2016-09-25 15:50:20,215 Epoch[5] Batch [23200] Speed: 11.01 samples/sec Train-Accuracy=0.780000
2016-09-25 15:50:56,533 Epoch[5] Batch [23250] Speed: 11.01 samples/sec Train-Accuracy=0.792857
2016-09-25 15:51:32,878 Epoch[5] Batch [23300] Speed: 11.01 samples/sec Train-Accuracy=0.788571
2016-09-25 15:52:09,217 Epoch[5] Batch [23350] Speed: 11.01 samples/sec Train-Accuracy=0.820000
2016-09-25 15:52:45,473 Epoch[5] Batch [23400] Speed: 11.03 samples/sec Train-Accuracy=0.831429
2016-09-25 15:53:21,828 Epoch[5] Batch [23450] Speed: 11.00 samples/sec Train-Accuracy=0.790000
2016-09-25 15:53:58,166 Epoch[5] Batch [23500] Speed: 11.01 samples/sec Train-Accuracy=0.827143
2016-09-25 15:54:34,968 Epoch[5] Batch [23550] Speed: 10.87 samples/sec Train-Accuracy=0.821429
2016-09-25 15:55:12,197 Epoch[5] Batch [23600] Speed: 10.74 samples/sec Train-Accuracy=0.778571
2016-09-25 15:55:53,328 Epoch[5] Batch [23650] Speed: 9.73 samples/sec Train-Accuracy=0.785714
2016-09-25 15:56:35,613 Epoch[5] Batch [23700] Speed: 9.46 samples/sec Train-Accuracy=0.772857
2016-09-25 15:57:18,505 Epoch[5] Batch [23750] Speed: 9.33 samples/sec Train-Accuracy=0.798571
2016-09-25 15:58:01,109 Epoch[5] Batch [23800] Speed: 9.39 samples/sec Train-Accuracy=0.808571
2016-09-25 15:58:40,436 Epoch[5] Batch [23850] Speed: 10.17 samples/sec Train-Accuracy=0.810000
2016-09-25 15:59:17,183 Epoch[5] Batch [23900] Speed: 10.89 samples/sec Train-Accuracy=0.794286
2016-09-25 15:59:54,050 Epoch[5] Batch [23950] Speed: 10.85 samples/sec Train-Accuracy=0.800000
2016-09-25 16:00:32,595 Epoch[5] Batch [24000] Speed: 10.38 samples/sec Train-Accuracy=0.780000
2016-09-25 16:01:10,393 Epoch[5] Batch [24050] Speed: 10.58 samples/sec Train-Accuracy=0.815714
2016-09-25 16:01:48,065 Epoch[5] Batch [24100] Speed: 10.62 samples/sec Train-Accuracy=0.817143
2016-09-25 16:02:25,741 Epoch[5] Batch [24150] Speed: 10.62 samples/sec Train-Accuracy=0.794286
2016-09-25 16:03:03,469 Epoch[5] Batch [24200] Speed: 10.60 samples/sec Train-Accuracy=0.802857
2016-09-25 16:03:41,185 Epoch[5] Batch [24250] Speed: 10.61 samples/sec Train-Accuracy=0.795714
2016-09-25 16:04:17,342 Epoch[5] Batch [24300] Speed: 11.06 samples/sec Train-Accuracy=0.802857
2016-09-25 16:04:53,462 Epoch[5] Batch [24350] Speed: 11.07 samples/sec Train-Accuracy=0.800000
2016-09-25 16:05:29,576 Epoch[5] Batch [24400] Speed: 11.08 samples/sec Train-Accuracy=0.815714
2016-09-25 16:06:05,647 Epoch[5] Batch [24450] Speed: 11.09 samples/sec Train-Accuracy=0.751429
2016-09-25 16:06:41,690 Epoch[5] Batch [24500] Speed: 11.10 samples/sec Train-Accuracy=0.798571
2016-09-25 16:07:17,877 Epoch[5] Batch [24550] Speed: 11.05 samples/sec Train-Accuracy=0.810000
2016-09-25 16:07:54,078 Epoch[5] Batch [24600] Speed: 11.05 samples/sec Train-Accuracy=0.778571
2016-09-25 16:08:30,286 Epoch[5] Batch [24650] Speed: 11.05 samples/sec Train-Accuracy=0.788571
2016-09-25 16:09:06,441 Epoch[5] Batch [24700] Speed: 11.06 samples/sec Train-Accuracy=0.814286
2016-09-25 16:09:42,954 Epoch[5] Batch [24750] Speed: 10.96 samples/sec Train-Accuracy=0.797143
2016-09-25 16:10:20,649 Epoch[5] Batch [24800] Speed: 10.61 samples/sec Train-Accuracy=0.775714
2016-09-25 16:10:58,433 Epoch[5] Batch [24850] Speed: 10.59 samples/sec Train-Accuracy=0.774286
2016-09-25 16:11:38,625 Epoch[5] Batch [24900] Speed: 9.95 samples/sec Train-Accuracy=0.802857
2016-09-25 16:12:16,774 Epoch[5] Batch [24950] Speed: 10.49 samples/sec Train-Accuracy=0.810000
2016-09-25 16:12:54,680 Epoch[5] Batch [25000] Speed: 10.55 samples/sec Train-Accuracy=0.781429
2016-09-25 16:13:31,519 Epoch[5] Batch [25050] Speed: 10.86 samples/sec Train-Accuracy=0.788571
2016-09-25 16:14:07,682 Epoch[5] Batch [25100] Speed: 11.06 samples/sec Train-Accuracy=0.777143
2016-09-25 16:14:43,811 Epoch[5] Batch [25150] Speed: 11.07 samples/sec Train-Accuracy=0.815714
2016-09-25 16:15:19,853 Epoch[5] Batch [25200] Speed: 11.10 samples/sec Train-Accuracy=0.847143
2016-09-25 16:15:55,873 Epoch[5] Batch [25250] Speed: 11.11 samples/sec Train-Accuracy=0.804286
2016-09-25 16:16:31,906 Epoch[5] Batch [25300] Speed: 11.10 samples/sec Train-Accuracy=0.830000
2016-09-25 16:17:07,959 Epoch[5] Batch [25350] Speed: 11.10 samples/sec Train-Accuracy=0.788571
2016-09-25 16:17:44,025 Epoch[5] Batch [25400] Speed: 11.09 samples/sec Train-Accuracy=0.788571
2016-09-25 16:18:20,134 Epoch[5] Batch [25450] Speed: 11.08 samples/sec Train-Accuracy=0.794286
2016-09-25 16:18:56,204 Epoch[5] Batch [25500] Speed: 11.09 samples/sec Train-Accuracy=0.797143
2016-09-25 16:19:32,321 Epoch[5] Batch [25550] Speed: 11.08 samples/sec Train-Accuracy=0.805714
2016-09-25 16:20:08,396 Epoch[5] Batch [25600] Speed: 11.09 samples/sec Train-Accuracy=0.784286
2016-09-25 16:20:44,403 Epoch[5] Batch [25650] Speed: 11.11 samples/sec Train-Accuracy=0.838571
2016-09-25 16:21:20,505 Epoch[5] Batch [25700] Speed: 11.08 samples/sec Train-Accuracy=0.805714
2016-09-25 16:21:59,609 Epoch[5] Batch [25750] Speed: 10.23 samples/sec Train-Accuracy=0.798571
2016-09-25 16:22:36,011 Epoch[5] Batch [25800] Speed: 10.99 samples/sec Train-Accuracy=0.780000
2016-09-25 16:23:13,799 Epoch[5] Batch [25850] Speed: 10.59 samples/sec Train-Accuracy=0.777143
2016-09-25 16:23:57,340 Epoch[5] Batch [25900] Speed: 9.19 samples/sec Train-Accuracy=0.814286
2016-09-25 16:24:35,691 Epoch[5] Batch [25950] Speed: 10.43 samples/sec Train-Accuracy=0.811429
2016-09-25 16:25:13,030 Epoch[5] Batch [26000] Speed: 10.71 samples/sec Train-Accuracy=0.808571
2016-09-25 16:25:49,322 Epoch[5] Batch [26050] Speed: 11.02 samples/sec Train-Accuracy=0.800000
2016-09-25 16:26:25,417 Epoch[5] Batch [26100] Speed: 11.08 samples/sec Train-Accuracy=0.770000
2016-09-25 16:27:01,607 Epoch[5] Batch [26150] Speed: 11.05 samples/sec Train-Accuracy=0.762857
2016-09-25 16:27:37,665 Epoch[5] Batch [26200] Speed: 11.09 samples/sec Train-Accuracy=0.782857
2016-09-25 16:28:13,735 Epoch[5] Batch [26250] Speed: 11.09 samples/sec Train-Accuracy=0.814286
2016-09-25 16:28:49,753 Epoch[5] Batch [26300] Speed: 11.11 samples/sec Train-Accuracy=0.812857
2016-09-25 16:29:25,971 Epoch[5] Batch [26350] Speed: 11.04 samples/sec Train-Accuracy=0.787143
2016-09-25 16:30:02,146 Epoch[5] Batch [26400] Speed: 11.06 samples/sec Train-Accuracy=0.805714
2016-09-25 16:30:40,493 Epoch[5] Batch [26450] Speed: 10.43 samples/sec Train-Accuracy=0.798571
2016-09-25 16:31:18,094 Epoch[5] Batch [26500] Speed: 10.64 samples/sec Train-Accuracy=0.797143
2016-09-25 16:31:55,536 Epoch[5] Batch [26550] Speed: 10.68 samples/sec Train-Accuracy=0.827143
2016-09-25 16:32:32,841 Epoch[5] Batch [26600] Speed: 10.72 samples/sec Train-Accuracy=0.812857
2016-09-25 16:33:10,605 Epoch[5] Batch [26650] Speed: 10.59 samples/sec Train-Accuracy=0.801429
2016-09-25 16:33:49,501 Epoch[5] Batch [26700] Speed: 10.28 samples/sec Train-Accuracy=0.772857
2016-09-25 16:34:26,949 Epoch[5] Batch [26750] Speed: 10.68 samples/sec Train-Accuracy=0.785714
2016-09-25 16:35:04,707 Epoch[5] Batch [26800] Speed: 10.59 samples/sec Train-Accuracy=0.785714
2016-09-25 16:35:42,846 Epoch[5] Batch [26850] Speed: 10.49 samples/sec Train-Accuracy=0.771429
2016-09-25 16:36:20,055 Epoch[5] Batch [26900] Speed: 10.75 samples/sec Train-Accuracy=0.795714
2016-09-25 16:36:57,447 Epoch[5] Batch [26950] Speed: 10.70 samples/sec Train-Accuracy=0.784286
2016-09-25 16:37:34,950 Epoch[5] Batch [27000] Speed: 10.67 samples/sec Train-Accuracy=0.821429
2016-09-25 16:38:14,420 Epoch[5] Batch [27050] Speed: 10.13 samples/sec Train-Accuracy=0.791429
2016-09-25 16:38:52,647 Epoch[5] Batch [27100] Speed: 10.46 samples/sec Train-Accuracy=0.821429
2016-09-25 16:39:29,351 Epoch[5] Batch [27150] Speed: 10.90 samples/sec Train-Accuracy=0.772857
2016-09-25 16:40:05,946 Epoch[5] Batch [27200] Speed: 10.93 samples/sec Train-Accuracy=0.818571
2016-09-25 16:40:42,528 Epoch[5] Batch [27250] Speed: 10.93 samples/sec Train-Accuracy=0.817143
2016-09-25 16:41:19,288 Epoch[5] Batch [27300] Speed: 10.88 samples/sec Train-Accuracy=0.808571
2016-09-25 16:41:56,951 Epoch[5] Batch [27350] Speed: 10.62 samples/sec Train-Accuracy=0.811429
2016-09-25 16:42:35,031 Epoch[5] Batch [27400] Speed: 10.50 samples/sec Train-Accuracy=0.785714
2016-09-25 16:43:12,368 Epoch[5] Batch [27450] Speed: 10.71 samples/sec Train-Accuracy=0.841429
2016-09-25 16:43:49,440 Epoch[5] Batch [27500] Speed: 10.79 samples/sec Train-Accuracy=0.828571
2016-09-25 16:44:27,493 Epoch[5] Batch [27550] Speed: 10.51 samples/sec Train-Accuracy=0.795714
2016-09-25 16:45:05,649 Epoch[5] Batch [27600] Speed: 10.48 samples/sec Train-Accuracy=0.814286
2016-09-25 16:45:43,670 Epoch[5] Batch [27650] Speed: 10.52 samples/sec Train-Accuracy=0.800000
2016-09-25 16:46:23,038 Epoch[5] Batch [27700] Speed: 10.16 samples/sec Train-Accuracy=0.777143
2016-09-25 16:46:59,826 Epoch[5] Batch [27750] Speed: 10.87 samples/sec Train-Accuracy=0.815714
2016-09-25 16:47:36,306 Epoch[5] Batch [27800] Speed: 10.97 samples/sec Train-Accuracy=0.772857
2016-09-25 16:48:12,847 Epoch[5] Batch [27850] Speed: 10.95 samples/sec Train-Accuracy=0.791429
2016-09-25 16:48:49,474 Epoch[5] Batch [27900] Speed: 10.92 samples/sec Train-Accuracy=0.804286
2016-09-25 16:49:25,962 Epoch[5] Batch [27950] Speed: 10.96 samples/sec Train-Accuracy=0.807143
2016-09-25 16:50:05,843 Epoch[5] Batch [28000] Speed: 10.03 samples/sec Train-Accuracy=0.801429
2016-09-25 16:50:46,639 Epoch[5] Batch [28050] Speed: 9.80 samples/sec Train-Accuracy=0.810000
2016-09-25 16:51:27,667 Epoch[5] Batch [28100] Speed: 9.75 samples/sec Train-Accuracy=0.808571
2016-09-25 16:52:09,278 Epoch[5] Batch [28150] Speed: 9.61 samples/sec Train-Accuracy=0.795714
2016-09-25 16:52:51,249 Epoch[5] Batch [28200] Speed: 9.53 samples/sec Train-Accuracy=0.778571
2016-09-25 16:53:32,042 Epoch[5] Batch [28250] Speed: 9.81 samples/sec Train-Accuracy=0.792857
2016-09-25 16:54:09,655 Epoch[5] Batch [28300] Speed: 10.63 samples/sec Train-Accuracy=0.804286
2016-09-25 16:54:49,907 Epoch[5] Batch [28350] Speed: 9.94 samples/sec Train-Accuracy=0.785714
2016-09-25 16:55:32,026 Epoch[5] Batch [28400] Speed: 9.50 samples/sec Train-Accuracy=0.827143
2016-09-25 16:56:12,693 Epoch[5] Batch [28450] Speed: 9.84 samples/sec Train-Accuracy=0.770000
2016-09-25 16:56:52,842 Epoch[5] Batch [28500] Speed: 9.96 samples/sec Train-Accuracy=0.785714
2016-09-25 16:57:31,921 Epoch[5] Batch [28550] Speed: 10.24 samples/sec Train-Accuracy=0.810000
2016-09-25 16:58:11,232 Epoch[5] Batch [28600] Speed: 10.18 samples/sec Train-Accuracy=0.808571
2016-09-25 16:58:49,609 Epoch[5] Batch [28650] Speed: 10.42 samples/sec Train-Accuracy=0.798571
2016-09-25 16:59:26,006 Epoch[5] Batch [28700] Speed: 10.99 samples/sec Train-Accuracy=0.778571
2016-09-25 17:00:02,235 Epoch[5] Batch [28750] Speed: 11.04 samples/sec Train-Accuracy=0.790000
2016-09-25 17:00:41,328 Epoch[5] Batch [28800] Speed: 10.23 samples/sec Train-Accuracy=0.821429
2016-09-25 17:01:20,579 Epoch[5] Batch [28850] Speed: 10.19 samples/sec Train-Accuracy=0.810000
2016-09-25 17:01:56,899 Epoch[5] Batch [28900] Speed: 11.01 samples/sec Train-Accuracy=0.781429
2016-09-25 17:02:33,216 Epoch[5] Batch [28950] Speed: 11.01 samples/sec Train-Accuracy=0.811429
2016-09-25 17:03:09,577 Epoch[5] Batch [29000] Speed: 11.00 samples/sec Train-Accuracy=0.764286
2016-09-25 17:03:45,985 Epoch[5] Batch [29050] Speed: 10.99 samples/sec Train-Accuracy=0.824286
2016-09-25 17:04:22,260 Epoch[5] Batch [29100] Speed: 11.03 samples/sec Train-Accuracy=0.815714
2016-09-25 17:05:02,192 Epoch[5] Batch [29150] Speed: 10.02 samples/sec Train-Accuracy=0.801429
2016-09-25 17:05:41,047 Epoch[5] Batch [29200] Speed: 10.29 samples/sec Train-Accuracy=0.782857
2016-09-25 17:06:20,615 Epoch[5] Batch [29250] Speed: 10.11 samples/sec Train-Accuracy=0.801429
2016-09-25 17:06:57,135 Epoch[5] Batch [29300] Speed: 10.95 samples/sec Train-Accuracy=0.820000
2016-09-25 17:07:33,329 Epoch[5] Batch [29350] Speed: 11.05 samples/sec Train-Accuracy=0.805714
2016-09-25 17:08:11,318 Epoch[5] Batch [29400] Speed: 10.53 samples/sec Train-Accuracy=0.835714
2016-09-25 17:08:49,709 Epoch[5] Batch [29450] Speed: 10.42 samples/sec Train-Accuracy=0.777143
2016-09-25 17:09:26,586 Epoch[5] Batch [29500] Speed: 10.85 samples/sec Train-Accuracy=0.807143
2016-09-25 17:10:02,418 Epoch[5] Batch [29550] Speed: 11.16 samples/sec Train-Accuracy=0.808571
2016-09-25 17:10:38,317 Epoch[5] Batch [29600] Speed: 11.14 samples/sec Train-Accuracy=0.812857
2016-09-25 17:11:14,227 Epoch[5] Batch [29650] Speed: 11.14 samples/sec Train-Accuracy=0.802857
2016-09-25 17:11:50,106 Epoch[5] Batch [29700] Speed: 11.15 samples/sec Train-Accuracy=0.805714
2016-09-25 17:12:26,952 Epoch[5] Batch [29750] Speed: 10.86 samples/sec Train-Accuracy=0.802857
2016-09-25 17:13:02,949 Epoch[5] Batch [29800] Speed: 11.11 samples/sec Train-Accuracy=0.791429
2016-09-25 17:13:38,980 Epoch[5] Batch [29850] Speed: 11.10 samples/sec Train-Accuracy=0.825714
2016-09-25 17:14:15,105 Epoch[5] Batch [29900] Speed: 11.07 samples/sec Train-Accuracy=0.781429
2016-09-25 17:14:51,356 Epoch[5] Batch [29950] Speed: 11.03 samples/sec Train-Accuracy=0.797143
2016-09-25 17:15:27,485 Epoch[5] Batch [30000] Speed: 11.07 samples/sec Train-Accuracy=0.794286
2016-09-25 17:16:07,100 Epoch[5] Batch [30050] Speed: 10.10 samples/sec Train-Accuracy=0.798571
2016-09-25 17:16:49,815 Epoch[5] Batch [30100] Speed: 9.36 samples/sec Train-Accuracy=0.828571
2016-09-25 17:17:30,198 Epoch[5] Batch [30150] Speed: 9.91 samples/sec Train-Accuracy=0.814286
2016-09-25 17:18:08,626 Epoch[5] Batch [30200] Speed: 10.41 samples/sec Train-Accuracy=0.780000
2016-09-25 17:18:47,236 Epoch[5] Batch [30250] Speed: 10.36 samples/sec Train-Accuracy=0.805714
2016-09-25 17:19:25,840 Epoch[5] Batch [30300] Speed: 10.36 samples/sec Train-Accuracy=0.782857
2016-09-25 17:20:03,839 Epoch[5] Batch [30350] Speed: 10.53 samples/sec Train-Accuracy=0.805714
2016-09-25 17:20:41,018 Epoch[5] Batch [30400] Speed: 10.76 samples/sec Train-Accuracy=0.844286
2016-09-25 17:21:19,885 Epoch[5] Batch [30450] Speed: 10.29 samples/sec Train-Accuracy=0.800000
2016-09-25 17:21:56,070 Epoch[5] Batch [30500] Speed: 11.05 samples/sec Train-Accuracy=0.832857
2016-09-25 17:22:32,159 Epoch[5] Batch [30550] Speed: 11.08 samples/sec Train-Accuracy=0.817143
2016-09-25 17:23:08,271 Epoch[5] Batch [30600] Speed: 11.08 samples/sec Train-Accuracy=0.800000
2016-09-25 17:23:45,584 Epoch[5] Batch [30650] Speed: 10.72 samples/sec Train-Accuracy=0.801429
2016-09-25 17:24:21,699 Epoch[5] Batch [30700] Speed: 11.08 samples/sec Train-Accuracy=0.785714
2016-09-25 17:24:57,820 Epoch[5] Batch [30750] Speed: 11.07 samples/sec Train-Accuracy=0.807143
2016-09-25 17:25:33,950 Epoch[5] Batch [30800] Speed: 11.07 samples/sec Train-Accuracy=0.808571
2016-09-25 17:26:16,182 Epoch[5] Batch [30850] Speed: 9.47 samples/sec Train-Accuracy=0.815714
2016-09-25 17:26:53,083 Epoch[5] Batch [30900] Speed: 10.84 samples/sec Train-Accuracy=0.814286
2016-09-25 17:27:29,062 Epoch[5] Batch [30950] Speed: 11.12 samples/sec Train-Accuracy=0.781429
2016-09-25 17:28:05,140 Epoch[5] Batch [31000] Speed: 11.09 samples/sec Train-Accuracy=0.788571
2016-09-25 17:28:41,308 Epoch[5] Batch [31050] Speed: 11.06 samples/sec Train-Accuracy=0.814286
2016-09-25 17:29:17,468 Epoch[5] Batch [31100] Speed: 11.06 samples/sec Train-Accuracy=0.804286
2016-09-25 17:29:53,595 Epoch[5] Batch [31150] Speed: 11.07 samples/sec Train-Accuracy=0.814286
2016-09-25 17:30:29,682 Epoch[5] Batch [31200] Speed: 11.08 samples/sec Train-Accuracy=0.817143
2016-09-25 17:31:05,827 Epoch[5] Batch [31250] Speed: 11.07 samples/sec Train-Accuracy=0.771429
2016-09-25 17:31:41,861 Epoch[5] Batch [31300] Speed: 11.10 samples/sec Train-Accuracy=0.775714
2016-09-25 17:32:18,031 Epoch[5] Batch [31350] Speed: 11.06 samples/sec Train-Accuracy=0.772857
2016-09-25 17:32:54,100 Epoch[5] Batch [31400] Speed: 11.09 samples/sec Train-Accuracy=0.824286
2016-09-25 17:33:30,448 Epoch[5] Batch [31450] Speed: 11.00 samples/sec Train-Accuracy=0.800000
2016-09-25 17:34:08,192 Epoch[5] Batch [31500] Speed: 10.60 samples/sec Train-Accuracy=0.805714
2016-09-25 17:34:45,265 Epoch[5] Batch [31550] Speed: 10.79 samples/sec Train-Accuracy=0.815714
2016-09-25 17:35:21,330 Epoch[5] Batch [31600] Speed: 11.09 samples/sec Train-Accuracy=0.847143
2016-09-25 17:35:57,521 Epoch[5] Batch [31650] Speed: 11.05 samples/sec Train-Accuracy=0.787143
2016-09-25 17:36:33,594 Epoch[5] Batch [31700] Speed: 11.09 samples/sec Train-Accuracy=0.801429
2016-09-25 17:37:09,655 Epoch[5] Batch [31750] Speed: 11.09 samples/sec Train-Accuracy=0.814286
2016-09-25 17:37:45,862 Epoch[5] Batch [31800] Speed: 11.05 samples/sec Train-Accuracy=0.810000
2016-09-25 17:38:22,254 Epoch[5] Batch [31850] Speed: 10.99 samples/sec Train-Accuracy=0.812857
2016-09-25 17:38:58,613 Epoch[5] Batch [31900] Speed: 11.00 samples/sec Train-Accuracy=0.790000
2016-09-25 17:39:34,766 Epoch[5] Batch [31950] Speed: 11.06 samples/sec Train-Accuracy=0.780000
2016-09-25 17:40:10,880 Epoch[5] Batch [32000] Speed: 11.08 samples/sec Train-Accuracy=0.788571
2016-09-25 17:40:46,996 Epoch[5] Batch [32050] Speed: 11.08 samples/sec Train-Accuracy=0.811429
2016-09-25 17:41:23,125 Epoch[5] Batch [32100] Speed: 11.07 samples/sec Train-Accuracy=0.837143
2016-09-25 17:41:59,288 Epoch[5] Batch [32150] Speed: 11.06 samples/sec Train-Accuracy=0.822857
2016-09-25 17:42:35,490 Epoch[5] Batch [32200] Speed: 11.05 samples/sec Train-Accuracy=0.804286
2016-09-25 17:43:11,598 Epoch[5] Batch [32250] Speed: 11.08 samples/sec Train-Accuracy=0.791429
2016-09-25 17:43:47,779 Epoch[5] Batch [32300] Speed: 11.06 samples/sec Train-Accuracy=0.805714
2016-09-25 17:44:23,894 Epoch[5] Batch [32350] Speed: 11.08 samples/sec Train-Accuracy=0.808571
2016-09-25 17:45:00,079 Epoch[5] Batch [32400] Speed: 11.05 samples/sec Train-Accuracy=0.791429
2016-09-25 17:45:36,256 Epoch[5] Batch [32450] Speed: 11.06 samples/sec Train-Accuracy=0.808571
2016-09-25 17:46:12,434 Epoch[5] Batch [32500] Speed: 11.06 samples/sec Train-Accuracy=0.794286
2016-09-25 17:46:48,593 Epoch[5] Batch [32550] Speed: 11.06 samples/sec Train-Accuracy=0.811429
2016-09-25 17:47:24,793 Epoch[5] Batch [32600] Speed: 11.05 samples/sec Train-Accuracy=0.828571
2016-09-25 17:48:01,792 Epoch[5] Batch [32650] Speed: 10.81 samples/sec Train-Accuracy=0.794286
2016-09-25 17:48:39,310 Epoch[5] Batch [32700] Speed: 10.66 samples/sec Train-Accuracy=0.820000
2016-09-25 17:49:16,292 Epoch[5] Batch [32750] Speed: 10.82 samples/sec Train-Accuracy=0.791429
2016-09-25 17:49:53,783 Epoch[5] Batch [32800] Speed: 10.67 samples/sec Train-Accuracy=0.784286
2016-09-25 17:50:32,710 Epoch[5] Batch [32850] Speed: 10.28 samples/sec Train-Accuracy=0.798571
2016-09-25 17:51:09,104 Epoch[5] Batch [32900] Speed: 10.99 samples/sec Train-Accuracy=0.825714
2016-09-25 17:51:45,503 Epoch[5] Batch [32950] Speed: 10.99 samples/sec Train-Accuracy=0.780000
2016-09-25 17:52:21,806 Epoch[5] Batch [33000] Speed: 11.02 samples/sec Train-Accuracy=0.808571
2016-09-25 17:52:58,149 Epoch[5] Batch [33050] Speed: 11.01 samples/sec Train-Accuracy=0.792857
2016-09-25 17:53:35,762 Epoch[5] Batch [33100] Speed: 10.63 samples/sec Train-Accuracy=0.780000
2016-09-25 17:54:16,144 Epoch[5] Batch [33150] Speed: 9.91 samples/sec Train-Accuracy=0.811429
2016-09-25 17:54:56,249 Epoch[5] Batch [33200] Speed: 9.97 samples/sec Train-Accuracy=0.794286
2016-09-25 17:55:34,841 Epoch[5] Batch [33250] Speed: 10.37 samples/sec Train-Accuracy=0.778571
2016-09-25 17:56:13,196 Epoch[5] Batch [33300] Speed: 10.43 samples/sec Train-Accuracy=0.842857
2016-09-25 17:56:52,301 Epoch[5] Batch [33350] Speed: 10.23 samples/sec Train-Accuracy=0.807143
2016-09-25 17:57:29,936 Epoch[5] Batch [33400] Speed: 10.63 samples/sec Train-Accuracy=0.787143
2016-09-25 17:58:13,013 Epoch[5] Batch [33450] Speed: 9.29 samples/sec Train-Accuracy=0.814286
2016-09-25 17:58:52,983 Epoch[5] Batch [33500] Speed: 10.01 samples/sec Train-Accuracy=0.785714
2016-09-25 17:59:30,650 Epoch[5] Batch [33550] Speed: 10.62 samples/sec Train-Accuracy=0.775714
2016-09-25 18:00:07,752 Epoch[5] Batch [33600] Speed: 10.78 samples/sec Train-Accuracy=0.794286
2016-09-25 18:00:44,652 Epoch[5] Batch [33650] Speed: 10.84 samples/sec Train-Accuracy=0.835714
2016-09-25 18:01:20,866 Epoch[5] Batch [33700] Speed: 11.05 samples/sec Train-Accuracy=0.792857
2016-09-25 18:01:57,025 Epoch[5] Batch [33750] Speed: 11.06 samples/sec Train-Accuracy=0.812857
2016-09-25 18:02:33,183 Epoch[5] Batch [33800] Speed: 11.06 samples/sec Train-Accuracy=0.807143
2016-09-25 18:03:09,311 Epoch[5] Batch [33850] Speed: 11.07 samples/sec Train-Accuracy=0.807143
2016-09-25 18:03:45,372 Epoch[5] Batch [33900] Speed: 11.09 samples/sec Train-Accuracy=0.775714
2016-09-25 18:04:21,527 Epoch[5] Batch [33950] Speed: 11.06 samples/sec Train-Accuracy=0.834286
2016-09-25 18:04:57,580 Epoch[5] Batch [34000] Speed: 11.09 samples/sec Train-Accuracy=0.818571
2016-09-25 18:05:34,395 Epoch[5] Batch [34050] Speed: 10.87 samples/sec Train-Accuracy=0.821429
2016-09-25 18:06:13,552 Epoch[5] Batch [34100] Speed: 10.22 samples/sec Train-Accuracy=0.782857
2016-09-25 18:06:50,711 Epoch[5] Batch [34150] Speed: 10.76 samples/sec Train-Accuracy=0.808571
2016-09-25 18:07:27,148 Epoch[5] Batch [34200] Speed: 10.98 samples/sec Train-Accuracy=0.762857
2016-09-25 18:08:03,136 Epoch[5] Batch [34250] Speed: 11.11 samples/sec Train-Accuracy=0.792857
2016-09-25 18:08:39,265 Epoch[5] Batch [34300] Speed: 11.07 samples/sec Train-Accuracy=0.800000
2016-09-25 18:09:15,366 Epoch[5] Batch [34350] Speed: 11.08 samples/sec Train-Accuracy=0.785714
2016-09-25 18:09:51,458 Epoch[5] Batch [34400] Speed: 11.08 samples/sec Train-Accuracy=0.780000
2016-09-25 18:10:27,603 Epoch[5] Batch [34450] Speed: 11.07 samples/sec Train-Accuracy=0.805714
2016-09-25 18:11:04,579 Epoch[5] Batch [34500] Speed: 10.82 samples/sec Train-Accuracy=0.825714
2016-09-25 18:11:46,586 Epoch[5] Batch [34550] Speed: 9.52 samples/sec Train-Accuracy=0.815714
2016-09-25 18:12:28,506 Epoch[5] Batch [34600] Speed: 9.54 samples/sec Train-Accuracy=0.810000
2016-09-25 18:13:06,190 Epoch[5] Batch [34650] Speed: 10.61 samples/sec Train-Accuracy=0.798571
2016-09-25 18:13:43,145 Epoch[5] Batch [34700] Speed: 10.82 samples/sec Train-Accuracy=0.768571
2016-09-25 18:14:19,449 Epoch[5] Batch [34750] Speed: 11.02 samples/sec Train-Accuracy=0.810000
2016-09-25 18:14:55,857 Epoch[5] Batch [34800] Speed: 10.99 samples/sec Train-Accuracy=0.792857
2016-09-25 18:15:32,456 Epoch[5] Batch [34850] Speed: 10.93 samples/sec Train-Accuracy=0.807143
2016-09-25 18:16:08,933 Epoch[5] Batch [34900] Speed: 10.97 samples/sec Train-Accuracy=0.807143
2016-09-25 18:16:45,315 Epoch[5] Batch [34950] Speed: 10.99 samples/sec Train-Accuracy=0.798571
2016-09-25 18:17:21,566 Epoch[5] Batch [35000] Speed: 11.03 samples/sec Train-Accuracy=0.810000
2016-09-25 18:17:58,431 Epoch[5] Batch [35050] Speed: 10.85 samples/sec Train-Accuracy=0.791429
2016-09-25 18:18:34,707 Epoch[5] Batch [35100] Speed: 11.03 samples/sec Train-Accuracy=0.800000
2016-09-25 18:19:11,216 Epoch[5] Batch [35150] Speed: 10.96 samples/sec Train-Accuracy=0.814286
2016-09-25 18:19:47,510 Epoch[5] Batch [35200] Speed: 11.02 samples/sec Train-Accuracy=0.797143
2016-09-25 18:20:23,807 Epoch[5] Batch [35250] Speed: 11.02 samples/sec Train-Accuracy=0.804286
2016-09-25 18:21:00,208 Epoch[5] Batch [35300] Speed: 10.99 samples/sec Train-Accuracy=0.815714
2016-09-25 18:21:36,575 Epoch[5] Batch [35350] Speed: 11.00 samples/sec Train-Accuracy=0.754286
2016-09-25 18:22:12,838 Epoch[5] Batch [35400] Speed: 11.03 samples/sec Train-Accuracy=0.791429
2016-09-25 18:22:49,141 Epoch[5] Batch [35450] Speed: 11.02 samples/sec Train-Accuracy=0.765714
2016-09-25 18:23:25,472 Epoch[5] Batch [35500] Speed: 11.01 samples/sec Train-Accuracy=0.794286
2016-09-25 18:24:02,120 Epoch[5] Batch [35550] Speed: 10.91 samples/sec Train-Accuracy=0.818571
2016-09-25 18:24:41,803 Epoch[5] Batch [35600] Speed: 10.08 samples/sec Train-Accuracy=0.802857
2016-09-25 18:25:18,067 Epoch[5] Batch [35650] Speed: 11.03 samples/sec Train-Accuracy=0.798571
2016-09-25 18:25:54,406 Epoch[5] Batch [35700] Speed: 11.01 samples/sec Train-Accuracy=0.800000
2016-09-25 18:26:30,755 Epoch[5] Batch [35750] Speed: 11.00 samples/sec Train-Accuracy=0.824286
2016-09-25 18:27:07,324 Epoch[5] Batch [35800] Speed: 10.94 samples/sec Train-Accuracy=0.798571
2016-09-25 18:27:46,986 Epoch[5] Batch [35850] Speed: 10.09 samples/sec Train-Accuracy=0.815714
2016-09-25 18:28:29,221 Epoch[5] Batch [35900] Speed: 9.47 samples/sec Train-Accuracy=0.798571
2016-09-25 18:29:11,380 Epoch[5] Batch [35950] Speed: 9.49 samples/sec Train-Accuracy=0.842857
2016-09-25 18:29:53,311 Epoch[5] Batch [36000] Speed: 9.54 samples/sec Train-Accuracy=0.831429
2016-09-25 18:30:35,252 Epoch[5] Batch [36050] Speed: 9.54 samples/sec Train-Accuracy=0.790000
2016-09-25 18:31:14,048 Epoch[5] Batch [36100] Speed: 10.31 samples/sec Train-Accuracy=0.801429
2016-09-25 18:31:50,942 Epoch[5] Batch [36150] Speed: 10.84 samples/sec Train-Accuracy=0.795714
2016-09-25 18:32:28,372 Epoch[5] Batch [36200] Speed: 10.69 samples/sec Train-Accuracy=0.807143
2016-09-25 18:33:08,399 Epoch[5] Batch [36250] Speed: 9.99 samples/sec Train-Accuracy=0.807143
2016-09-25 18:33:48,672 Epoch[5] Batch [36300] Speed: 9.93 samples/sec Train-Accuracy=0.785714
2016-09-25 18:34:28,574 Epoch[5] Batch [36350] Speed: 10.02 samples/sec Train-Accuracy=0.834286
2016-09-25 18:35:06,323 Epoch[5] Batch [36400] Speed: 10.60 samples/sec Train-Accuracy=0.787143
2016-09-25 18:35:43,343 Epoch[5] Batch [36450] Speed: 10.81 samples/sec Train-Accuracy=0.765714
2016-09-25 18:36:25,272 Epoch[5] Batch [36500] Speed: 9.54 samples/sec Train-Accuracy=0.821429
2016-09-25 18:37:05,902 Epoch[5] Batch [36550] Speed: 9.85 samples/sec Train-Accuracy=0.792857
2016-09-25 18:37:49,184 Epoch[5] Batch [36600] Speed: 9.24 samples/sec Train-Accuracy=0.811429
2016-09-25 18:38:29,773 Epoch[5] Batch [36650] Speed: 9.85 samples/sec Train-Accuracy=0.832857
2016-09-25 18:39:10,191 Epoch[5] Batch [36700] Speed: 9.90 samples/sec Train-Accuracy=0.787143
2016-09-25 18:39:50,490 Epoch[5] Batch [36750] Speed: 9.93 samples/sec Train-Accuracy=0.780000
2016-09-25 18:40:31,682 Epoch[5] Batch [36800] Speed: 9.71 samples/sec Train-Accuracy=0.827143
2016-09-25 18:41:10,915 Epoch[5] Batch [36850] Speed: 10.20 samples/sec Train-Accuracy=0.748571
2016-09-25 18:41:48,712 Epoch[5] Batch [36900] Speed: 10.58 samples/sec Train-Accuracy=0.797143
2016-09-25 18:42:26,056 Epoch[5] Batch [36950] Speed: 10.71 samples/sec Train-Accuracy=0.815714
2016-09-25 18:43:03,334 Epoch[5] Batch [37000] Speed: 10.73 samples/sec Train-Accuracy=0.784286
2016-09-25 18:43:40,520 Epoch[5] Batch [37050] Speed: 10.76 samples/sec Train-Accuracy=0.790000
2016-09-25 18:44:18,760 Epoch[5] Batch [37100] Speed: 10.46 samples/sec Train-Accuracy=0.802857
2016-09-25 18:44:59,163 Epoch[5] Batch [37150] Speed: 9.90 samples/sec Train-Accuracy=0.805714
2016-09-25 18:45:38,651 Epoch[5] Batch [37200] Speed: 10.13 samples/sec Train-Accuracy=0.780000
2016-09-25 18:46:18,208 Epoch[5] Batch [37250] Speed: 10.11 samples/sec Train-Accuracy=0.788571
2016-09-25 18:46:56,204 Epoch[5] Batch [37300] Speed: 10.53 samples/sec Train-Accuracy=0.787143
2016-09-25 18:47:33,778 Epoch[5] Batch [37350] Speed: 10.65 samples/sec Train-Accuracy=0.808571
2016-09-25 18:48:14,908 Epoch[5] Batch [37400] Speed: 9.73 samples/sec Train-Accuracy=0.857143
2016-09-25 18:48:56,130 Epoch[5] Batch [37450] Speed: 9.70 samples/sec Train-Accuracy=0.812857
2016-09-25 18:49:37,560 Epoch[5] Batch [37500] Speed: 9.65 samples/sec Train-Accuracy=0.824286
2016-09-25 18:50:18,371 Epoch[5] Batch [37550] Speed: 9.80 samples/sec Train-Accuracy=0.791429
2016-09-25 18:50:58,724 Epoch[5] Batch [37600] Speed: 9.91 samples/sec Train-Accuracy=0.772857
2016-09-25 18:51:38,032 Epoch[5] Batch [37650] Speed: 10.18 samples/sec Train-Accuracy=0.832857
2016-09-25 18:52:20,625 Epoch[5] Batch [37700] Speed: 9.39 samples/sec Train-Accuracy=0.785714
2016-09-25 18:52:59,236 Epoch[5] Batch [37750] Speed: 10.36 samples/sec Train-Accuracy=0.801429
2016-09-25 18:53:37,146 Epoch[5] Batch [37800] Speed: 10.55 samples/sec Train-Accuracy=0.782857
2016-09-25 18:54:18,562 Epoch[5] Batch [37850] Speed: 9.66 samples/sec Train-Accuracy=0.832857
2016-09-25 18:54:57,218 Epoch[5] Batch [37900] Speed: 10.35 samples/sec Train-Accuracy=0.801429
2016-09-25 18:55:36,845 Epoch[5] Batch [37950] Speed: 10.09 samples/sec Train-Accuracy=0.802857
2016-09-25 18:56:14,321 Epoch[5] Batch [38000] Speed: 10.67 samples/sec Train-Accuracy=0.800000
2016-09-25 18:56:51,515 Epoch[5] Batch [38050] Speed: 10.75 samples/sec Train-Accuracy=0.808571
2016-09-25 18:57:28,700 Epoch[5] Batch [38100] Speed: 10.76 samples/sec Train-Accuracy=0.812857
2016-09-25 18:58:10,134 Epoch[5] Batch [38150] Speed: 9.65 samples/sec Train-Accuracy=0.792857
2016-09-25 18:58:48,137 Epoch[5] Batch [38200] Speed: 10.53 samples/sec Train-Accuracy=0.805714
2016-09-25 18:59:24,228 Epoch[5] Batch [38250] Speed: 11.08 samples/sec Train-Accuracy=0.777143
2016-09-25 19:00:00,860 Epoch[5] Batch [38300] Speed: 10.92 samples/sec Train-Accuracy=0.847143
2016-09-25 19:00:37,994 Epoch[5] Batch [38350] Speed: 10.77 samples/sec Train-Accuracy=0.791429
2016-09-25 19:01:14,599 Epoch[5] Batch [38400] Speed: 10.93 samples/sec Train-Accuracy=0.815714
2016-09-25 19:01:50,979 Epoch[5] Batch [38450] Speed: 11.00 samples/sec Train-Accuracy=0.782857
2016-09-25 19:02:33,144 Epoch[5] Batch [38500] Speed: 9.49 samples/sec Train-Accuracy=0.780000
2016-09-25 19:03:14,695 Epoch[5] Batch [38550] Speed: 9.63 samples/sec Train-Accuracy=0.765714
2016-09-25 19:03:52,045 Epoch[5] Batch [38600] Speed: 10.71 samples/sec Train-Accuracy=0.822857
2016-09-25 19:04:28,185 Epoch[5] Batch [38650] Speed: 11.07 samples/sec Train-Accuracy=0.834286
2016-09-25 19:05:04,570 Epoch[5] Batch [38700] Speed: 10.99 samples/sec Train-Accuracy=0.800000
2016-09-25 19:05:40,778 Epoch[5] Batch [38750] Speed: 11.05 samples/sec Train-Accuracy=0.811429
2016-09-25 19:06:17,075 Epoch[5] Batch [38800] Speed: 11.02 samples/sec Train-Accuracy=0.802857
2016-09-25 19:06:53,559 Epoch[5] Batch [38850] Speed: 10.96 samples/sec Train-Accuracy=0.791429
2016-09-25 19:07:30,160 Epoch[5] Batch [38900] Speed: 10.93 samples/sec Train-Accuracy=0.817143
2016-09-25 19:08:06,818 Epoch[5] Batch [38950] Speed: 10.91 samples/sec Train-Accuracy=0.798571
2016-09-25 19:08:43,339 Epoch[5] Batch [39000] Speed: 10.95 samples/sec Train-Accuracy=0.787143
2016-09-25 19:09:20,015 Epoch[5] Batch [39050] Speed: 10.91 samples/sec Train-Accuracy=0.831429
2016-09-25 19:09:56,778 Epoch[5] Batch [39100] Speed: 10.88 samples/sec Train-Accuracy=0.808571
2016-09-25 19:10:37,842 Epoch[5] Batch [39150] Speed: 9.74 samples/sec Train-Accuracy=0.807143
2016-09-25 19:11:18,634 Epoch[5] Batch [39200] Speed: 9.81 samples/sec Train-Accuracy=0.794286
2016-09-25 19:11:58,272 Epoch[5] Batch [39250] Speed: 10.09 samples/sec Train-Accuracy=0.821429
2016-09-25 19:12:38,831 Epoch[5] Batch [39300] Speed: 9.86 samples/sec Train-Accuracy=0.838571
2016-09-25 19:13:17,386 Epoch[5] Batch [39350] Speed: 10.37 samples/sec Train-Accuracy=0.807143
2016-09-25 19:13:55,398 Epoch[5] Batch [39400] Speed: 10.52 samples/sec Train-Accuracy=0.790000
2016-09-25 19:14:31,765 Epoch[5] Batch [39450] Speed: 11.00 samples/sec Train-Accuracy=0.821429
2016-09-25 19:15:08,831 Epoch[5] Batch [39500] Speed: 10.79 samples/sec Train-Accuracy=0.818571
2016-09-25 19:15:45,231 Epoch[5] Batch [39550] Speed: 10.99 samples/sec Train-Accuracy=0.818571
2016-09-25 19:16:21,936 Epoch[5] Batch [39600] Speed: 10.90 samples/sec Train-Accuracy=0.772857
2016-09-25 19:16:58,695 Epoch[5] Batch [39650] Speed: 10.88 samples/sec Train-Accuracy=0.832857
2016-09-25 19:17:35,262 Epoch[5] Batch [39700] Speed: 10.94 samples/sec Train-Accuracy=0.768571
2016-09-25 19:18:11,719 Epoch[5] Batch [39750] Speed: 10.97 samples/sec Train-Accuracy=0.791429
2016-09-25 19:18:48,019 Epoch[5] Batch [39800] Speed: 11.02 samples/sec Train-Accuracy=0.841429
2016-09-25 19:19:24,193 Epoch[5] Batch [39850] Speed: 11.06 samples/sec Train-Accuracy=0.801429
2016-09-25 19:20:01,583 Epoch[5] Batch [39900] Speed: 10.70 samples/sec Train-Accuracy=0.802857
2016-09-25 19:20:38,282 Epoch[5] Batch [39950] Speed: 10.90 samples/sec Train-Accuracy=0.831429
2016-09-25 19:21:14,622 Epoch[5] Batch [40000] Speed: 11.01 samples/sec Train-Accuracy=0.777143
2016-09-25 19:21:50,923 Epoch[5] Batch [40050] Speed: 11.02 samples/sec Train-Accuracy=0.800000
2016-09-25 19:22:28,527 Epoch[5] Batch [40100] Speed: 10.64 samples/sec Train-Accuracy=0.817143
2016-09-25 19:23:12,246 Epoch[5] Batch [40150] Speed: 9.15 samples/sec Train-Accuracy=0.794286
2016-09-25 19:23:55,301 Epoch[5] Batch [40200] Speed: 9.29 samples/sec Train-Accuracy=0.817143
2016-09-25 19:24:38,368 Epoch[5] Batch [40250] Speed: 9.29 samples/sec Train-Accuracy=0.790000
2016-09-25 19:25:20,865 Epoch[5] Batch [40300] Speed: 9.41 samples/sec Train-Accuracy=0.798571
2016-09-25 19:26:03,204 Epoch[5] Batch [40350] Speed: 9.45 samples/sec Train-Accuracy=0.792857
2016-09-25 19:26:45,897 Epoch[5] Batch [40400] Speed: 9.37 samples/sec Train-Accuracy=0.818571
2016-09-25 19:27:26,099 Epoch[5] Batch [40450] Speed: 9.95 samples/sec Train-Accuracy=0.800000
2016-09-25 19:28:02,985 Epoch[5] Batch [40500] Speed: 10.84 samples/sec Train-Accuracy=0.801429
2016-09-25 19:28:39,632 Epoch[5] Batch [40550] Speed: 10.92 samples/sec Train-Accuracy=0.774286
2016-09-25 19:29:16,170 Epoch[5] Batch [40600] Speed: 10.95 samples/sec Train-Accuracy=0.794286
2016-09-25 19:29:54,399 Epoch[5] Batch [40650] Speed: 10.46 samples/sec Train-Accuracy=0.802857
2016-09-25 19:30:34,301 Epoch[5] Batch [40700] Speed: 10.02 samples/sec Train-Accuracy=0.790000
2016-09-25 19:31:13,078 Epoch[5] Batch [40750] Speed: 10.32 samples/sec Train-Accuracy=0.820000
2016-09-25 19:31:52,625 Epoch[5] Batch [40800] Speed: 10.11 samples/sec Train-Accuracy=0.811429
2016-09-25 19:32:31,590 Epoch[5] Batch [40850] Speed: 10.27 samples/sec Train-Accuracy=0.791429
2016-09-25 19:33:07,910 Epoch[5] Batch [40900] Speed: 11.01 samples/sec Train-Accuracy=0.824286
2016-09-25 19:33:45,464 Epoch[5] Batch [40950] Speed: 10.65 samples/sec Train-Accuracy=0.820000
2016-09-25 19:34:22,944 Epoch[5] Batch [41000] Speed: 10.67 samples/sec Train-Accuracy=0.815714
2016-09-25 19:35:00,296 Epoch[5] Batch [41050] Speed: 10.71 samples/sec Train-Accuracy=0.820000
2016-09-25 19:35:38,244 Epoch[5] Batch [41100] Speed: 10.54 samples/sec Train-Accuracy=0.810000
2016-09-25 19:36:15,377 Epoch[5] Batch [41150] Speed: 10.77 samples/sec Train-Accuracy=0.807143
2016-09-25 19:36:53,019 Epoch[5] Batch [41200] Speed: 10.63 samples/sec Train-Accuracy=0.802857
2016-09-25 19:37:30,884 Epoch[5] Batch [41250] Speed: 10.56 samples/sec Train-Accuracy=0.821429
2016-09-25 19:38:08,151 Epoch[5] Batch [41300] Speed: 10.73 samples/sec Train-Accuracy=0.794286
2016-09-25 19:38:44,353 Epoch[5] Batch [41350] Speed: 11.05 samples/sec Train-Accuracy=0.790000
2016-09-25 19:39:20,509 Epoch[5] Batch [41400] Speed: 11.06 samples/sec Train-Accuracy=0.800000
2016-09-25 19:39:56,904 Epoch[5] Batch [41450] Speed: 10.99 samples/sec Train-Accuracy=0.828571
2016-09-25 19:40:33,019 Epoch[5] Batch [41500] Speed: 11.08 samples/sec Train-Accuracy=0.800000
2016-09-25 19:41:09,102 Epoch[5] Batch [41550] Speed: 11.09 samples/sec Train-Accuracy=0.802857
2016-09-25 19:41:45,235 Epoch[5] Batch [41600] Speed: 11.07 samples/sec Train-Accuracy=0.818571
2016-09-25 19:42:21,364 Epoch[5] Batch [41650] Speed: 11.07 samples/sec Train-Accuracy=0.791429
2016-09-25 19:42:57,407 Epoch[5] Batch [41700] Speed: 11.10 samples/sec Train-Accuracy=0.828571
2016-09-25 19:43:33,419 Epoch[5] Batch [41750] Speed: 11.11 samples/sec Train-Accuracy=0.798571
2016-09-25 19:44:09,490 Epoch[5] Batch [41800] Speed: 11.09 samples/sec Train-Accuracy=0.815714
2016-09-25 19:44:45,456 Epoch[5] Batch [41850] Speed: 11.12 samples/sec Train-Accuracy=0.812857
2016-09-25 19:45:21,555 Epoch[5] Batch [41900] Speed: 11.08 samples/sec Train-Accuracy=0.787143
2016-09-25 19:45:58,126 Epoch[5] Batch [41950] Speed: 10.94 samples/sec Train-Accuracy=0.802857
2016-09-25 19:46:35,159 Epoch[5] Batch [42000] Speed: 10.80 samples/sec Train-Accuracy=0.817143
2016-09-25 19:47:12,402 Epoch[5] Batch [42050] Speed: 10.74 samples/sec Train-Accuracy=0.798571
2016-09-25 19:47:51,831 Epoch[5] Batch [42100] Speed: 10.14 samples/sec Train-Accuracy=0.810000
2016-09-25 19:48:28,723 Epoch[5] Batch [42150] Speed: 10.84 samples/sec Train-Accuracy=0.807143
2016-09-25 19:49:05,325 Epoch[5] Batch [42200] Speed: 10.93 samples/sec Train-Accuracy=0.781429
2016-09-25 19:49:41,364 Epoch[5] Batch [42250] Speed: 11.10 samples/sec Train-Accuracy=0.802857
2016-09-25 19:50:17,999 Epoch[5] Batch [42300] Speed: 10.92 samples/sec Train-Accuracy=0.791429
2016-09-25 19:50:55,223 Epoch[5] Batch [42350] Speed: 10.75 samples/sec Train-Accuracy=0.802857
2016-09-25 19:51:31,393 Epoch[5] Batch [42400] Speed: 11.06 samples/sec Train-Accuracy=0.851429
2016-09-25 19:52:07,789 Epoch[5] Batch [42450] Speed: 10.99 samples/sec Train-Accuracy=0.832857
2016-09-25 19:52:43,946 Epoch[5] Batch [42500] Speed: 11.06 samples/sec Train-Accuracy=0.795714
2016-09-25 19:53:20,313 Epoch[5] Batch [42550] Speed: 11.00 samples/sec Train-Accuracy=0.800000
2016-09-25 19:53:56,809 Epoch[5] Batch [42600] Speed: 10.96 samples/sec Train-Accuracy=0.838571
2016-09-25 19:54:38,080 Epoch[5] Batch [42650] Speed: 9.69 samples/sec Train-Accuracy=0.804286
2016-09-25 19:55:19,447 Epoch[5] Batch [42700] Speed: 9.67 samples/sec Train-Accuracy=0.762857
2016-09-25 19:56:02,021 Epoch[5] Batch [42750] Speed: 9.40 samples/sec Train-Accuracy=0.830000
2016-09-25 19:56:43,214 Epoch[5] Batch [42800] Speed: 9.71 samples/sec Train-Accuracy=0.772857
2016-09-25 19:57:23,783 Epoch[5] Batch [42850] Speed: 9.86 samples/sec Train-Accuracy=0.780000
2016-09-25 19:58:05,509 Epoch[5] Batch [42900] Speed: 9.59 samples/sec Train-Accuracy=0.794286
2016-09-25 19:58:44,628 Epoch[5] Batch [42950] Speed: 10.23 samples/sec Train-Accuracy=0.824286
2016-09-25 19:59:21,642 Epoch[5] Batch [43000] Speed: 10.81 samples/sec Train-Accuracy=0.790000
2016-09-25 19:59:58,164 Epoch[5] Batch [43050] Speed: 10.95 samples/sec Train-Accuracy=0.805714
2016-09-25 20:00:34,181 Epoch[5] Batch [43100] Speed: 11.11 samples/sec Train-Accuracy=0.781429
2016-09-25 20:01:10,343 Epoch[5] Batch [43150] Speed: 11.06 samples/sec Train-Accuracy=0.780000
2016-09-25 20:01:46,448 Epoch[5] Batch [43200] Speed: 11.08 samples/sec Train-Accuracy=0.795714
2016-09-25 20:02:22,521 Epoch[5] Batch [43250] Speed: 11.09 samples/sec Train-Accuracy=0.822857
2016-09-25 20:02:58,647 Epoch[5] Batch [43300] Speed: 11.07 samples/sec Train-Accuracy=0.807143
2016-09-25 20:03:34,784 Epoch[5] Batch [43350] Speed: 11.07 samples/sec Train-Accuracy=0.817143
2016-09-25 20:04:14,908 Epoch[5] Batch [43400] Speed: 9.97 samples/sec Train-Accuracy=0.838571
2016-09-25 20:04:52,050 Epoch[5] Batch [43450] Speed: 10.77 samples/sec Train-Accuracy=0.818571
2016-09-25 20:05:28,233 Epoch[5] Batch [43500] Speed: 11.05 samples/sec Train-Accuracy=0.802857
2016-09-25 20:06:04,413 Epoch[5] Batch [43550] Speed: 11.06 samples/sec Train-Accuracy=0.805714
2016-09-25 20:06:42,171 Epoch[5] Batch [43600] Speed: 10.59 samples/sec Train-Accuracy=0.811429
2016-09-25 20:07:21,885 Epoch[5] Batch [43650] Speed: 10.07 samples/sec Train-Accuracy=0.832857
2016-09-25 20:07:58,058 Epoch[5] Batch [43700] Speed: 11.06 samples/sec Train-Accuracy=0.810000
2016-09-25 20:08:34,212 Epoch[5] Batch [43750] Speed: 11.06 samples/sec Train-Accuracy=0.817143
2016-09-25 20:09:10,238 Epoch[5] Batch [43800] Speed: 11.10 samples/sec Train-Accuracy=0.812857
2016-09-25 20:09:46,230 Epoch[5] Batch [43850] Speed: 11.11 samples/sec Train-Accuracy=0.804286
2016-09-25 20:10:22,259 Epoch[5] Batch [43900] Speed: 11.10 samples/sec Train-Accuracy=0.812857
2016-09-25 20:10:58,369 Epoch[5] Batch [43950] Speed: 11.08 samples/sec Train-Accuracy=0.801429
2016-09-25 20:11:35,629 Epoch[5] Batch [44000] Speed: 10.74 samples/sec Train-Accuracy=0.777143
2016-09-25 20:12:12,898 Epoch[5] Batch [44050] Speed: 10.73 samples/sec Train-Accuracy=0.794286
2016-09-25 20:12:50,287 Epoch[5] Batch [44100] Speed: 10.70 samples/sec Train-Accuracy=0.808571
2016-09-25 20:13:28,858 Epoch[5] Batch [44150] Speed: 10.37 samples/sec Train-Accuracy=0.780000
2016-09-25 20:14:11,992 Epoch[5] Batch [44200] Speed: 9.27 samples/sec Train-Accuracy=0.817143
2016-09-25 20:14:53,942 Epoch[5] Batch [44250] Speed: 9.54 samples/sec Train-Accuracy=0.800000
2016-09-25 20:15:34,746 Epoch[5] Batch [44300] Speed: 9.80 samples/sec Train-Accuracy=0.814286
2016-09-25 20:16:13,292 Epoch[5] Batch [44350] Speed: 10.38 samples/sec Train-Accuracy=0.822857
2016-09-25 20:16:51,572 Epoch[5] Batch [44400] Speed: 10.45 samples/sec Train-Accuracy=0.825714
2016-09-25 20:17:30,124 Epoch[5] Batch [44450] Speed: 10.38 samples/sec Train-Accuracy=0.805714
2016-09-25 20:18:07,901 Epoch[5] Batch [44500] Speed: 10.59 samples/sec Train-Accuracy=0.797143
2016-09-25 20:18:44,291 Epoch[5] Batch [44550] Speed: 10.99 samples/sec Train-Accuracy=0.802857
2016-09-25 20:19:20,754 Epoch[5] Batch [44600] Speed: 10.97 samples/sec Train-Accuracy=0.792857
2016-09-25 20:19:57,310 Epoch[5] Batch [44650] Speed: 10.94 samples/sec Train-Accuracy=0.817143
2016-09-25 20:20:34,543 Epoch[5] Batch [44700] Speed: 10.74 samples/sec Train-Accuracy=0.795714
2016-09-25 20:21:11,858 Epoch[5] Batch [44750] Speed: 10.72 samples/sec Train-Accuracy=0.785714
2016-09-25 20:21:48,748 Epoch[5] Batch [44800] Speed: 10.84 samples/sec Train-Accuracy=0.811429
2016-09-25 20:22:26,020 Epoch[5] Batch [44850] Speed: 10.73 samples/sec Train-Accuracy=0.804286
2016-09-25 20:23:02,233 Epoch[5] Batch [44900] Speed: 11.05 samples/sec Train-Accuracy=0.804286
2016-09-25 20:23:39,416 Epoch[5] Batch [44950] Speed: 10.76 samples/sec Train-Accuracy=0.792857
2016-09-25 20:24:16,179 Epoch[5] Batch [45000] Speed: 10.88 samples/sec Train-Accuracy=0.804286
2016-09-25 20:24:53,197 Epoch[5] Batch [45050] Speed: 10.81 samples/sec Train-Accuracy=0.801429
2016-09-25 20:25:30,450 Epoch[5] Batch [45100] Speed: 10.74 samples/sec Train-Accuracy=0.780000
2016-09-25 20:26:08,320 Epoch[5] Batch [45150] Speed: 10.56 samples/sec Train-Accuracy=0.831429
2016-09-25 20:26:44,999 Epoch[5] Batch [45200] Speed: 10.91 samples/sec Train-Accuracy=0.792857
2016-09-25 20:27:21,298 Epoch[5] Batch [45250] Speed: 11.02 samples/sec Train-Accuracy=0.811429
2016-09-25 20:27:57,487 Epoch[5] Batch [45300] Speed: 11.05 samples/sec Train-Accuracy=0.815714
2016-09-25 20:28:33,881 Epoch[5] Batch [45350] Speed: 10.99 samples/sec Train-Accuracy=0.831429
2016-09-25 20:29:10,249 Epoch[5] Batch [45400] Speed: 11.00 samples/sec Train-Accuracy=0.825714
2016-09-25 20:29:46,560 Epoch[5] Batch [45450] Speed: 11.02 samples/sec Train-Accuracy=0.830000
2016-09-25 20:30:23,294 Epoch[5] Batch [45500] Speed: 10.89 samples/sec Train-Accuracy=0.832857
2016-09-25 20:30:59,644 Epoch[5] Batch [45550] Speed: 11.00 samples/sec Train-Accuracy=0.804286
2016-09-25 20:31:36,047 Epoch[5] Batch [45600] Speed: 10.99 samples/sec Train-Accuracy=0.805714
2016-09-25 20:32:13,322 Epoch[5] Batch [45650] Speed: 10.73 samples/sec Train-Accuracy=0.807143
2016-09-25 20:32:49,764 Epoch[5] Batch [45700] Speed: 10.98 samples/sec Train-Accuracy=0.828571
2016-09-25 20:33:26,198 Epoch[5] Batch [45750] Speed: 10.98 samples/sec Train-Accuracy=0.820000
2016-09-25 20:34:02,474 Epoch[5] Batch [45800] Speed: 11.03 samples/sec Train-Accuracy=0.802857
2016-09-25 20:34:42,297 Epoch[5] Batch [45850] Speed: 10.04 samples/sec Train-Accuracy=0.800000
2016-09-25 20:35:21,490 Epoch[5] Batch [45900] Speed: 10.21 samples/sec Train-Accuracy=0.788571
2016-09-25 20:35:59,582 Epoch[5] Batch [45950] Speed: 10.50 samples/sec Train-Accuracy=0.818571
2016-09-25 20:36:36,798 Epoch[5] Batch [46000] Speed: 10.75 samples/sec Train-Accuracy=0.820000
2016-09-25 20:37:17,226 Epoch[5] Batch [46050] Speed: 9.89 samples/sec Train-Accuracy=0.830000
2016-09-25 20:37:55,393 Epoch[5] Batch [46100] Speed: 10.48 samples/sec Train-Accuracy=0.795714
2016-09-25 20:38:32,873 Epoch[5] Batch [46150] Speed: 10.67 samples/sec Train-Accuracy=0.807143
2016-09-25 20:39:10,041 Epoch[5] Batch [46200] Speed: 10.76 samples/sec Train-Accuracy=0.845714
2016-09-25 20:39:48,139 Epoch[5] Batch [46250] Speed: 10.50 samples/sec Train-Accuracy=0.812857
2016-09-25 20:40:28,162 Epoch[5] Batch [46300] Speed: 9.99 samples/sec Train-Accuracy=0.755714
2016-09-25 20:41:05,202 Epoch[5] Batch [46350] Speed: 10.80 samples/sec Train-Accuracy=0.792857
2016-09-25 20:41:42,331 Epoch[5] Batch [46400] Speed: 10.77 samples/sec Train-Accuracy=0.801429
2016-09-25 20:42:19,746 Epoch[5] Batch [46450] Speed: 10.69 samples/sec Train-Accuracy=0.800000
2016-09-25 20:42:56,799 Epoch[5] Batch [46500] Speed: 10.80 samples/sec Train-Accuracy=0.808571
2016-09-25 20:43:33,912 Epoch[5] Batch [46550] Speed: 10.78 samples/sec Train-Accuracy=0.815714
2016-09-25 20:44:10,480 Epoch[5] Batch [46600] Speed: 10.94 samples/sec Train-Accuracy=0.824286
2016-09-25 20:44:46,527 Epoch[5] Batch [46650] Speed: 11.10 samples/sec Train-Accuracy=0.788571
2016-09-25 20:45:23,462 Epoch[5] Batch [46700] Speed: 10.83 samples/sec Train-Accuracy=0.815714
2016-09-25 20:46:00,219 Epoch[5] Batch [46750] Speed: 10.88 samples/sec Train-Accuracy=0.808571
2016-09-25 20:46:36,129 Epoch[5] Batch [46800] Speed: 11.14 samples/sec Train-Accuracy=0.794286
2016-09-25 20:47:12,160 Epoch[5] Batch [46850] Speed: 11.10 samples/sec Train-Accuracy=0.792857
2016-09-25 20:47:48,087 Epoch[5] Batch [46900] Speed: 11.13 samples/sec Train-Accuracy=0.822857
2016-09-25 20:48:25,616 Epoch[5] Batch [46950] Speed: 10.66 samples/sec Train-Accuracy=0.834286
2016-09-25 20:49:04,715 Epoch[5] Batch [47000] Speed: 10.23 samples/sec Train-Accuracy=0.787143
2016-09-25 20:49:40,683 Epoch[5] Batch [47050] Speed: 11.12 samples/sec Train-Accuracy=0.792857
2016-09-25 20:50:16,774 Epoch[5] Batch [47100] Speed: 11.08 samples/sec Train-Accuracy=0.777143
2016-09-25 20:50:54,072 Epoch[5] Batch [47150] Speed: 10.72 samples/sec Train-Accuracy=0.774286
2016-09-25 20:51:36,366 Epoch[5] Batch [47200] Speed: 9.46 samples/sec Train-Accuracy=0.784286
2016-09-25 20:52:16,836 Epoch[5] Batch [47250] Speed: 9.88 samples/sec Train-Accuracy=0.808571
2016-09-25 20:52:57,018 Epoch[5] Batch [47300] Speed: 9.95 samples/sec Train-Accuracy=0.791429
2016-09-25 20:53:33,027 Epoch[5] Batch [47350] Speed: 11.11 samples/sec Train-Accuracy=0.778571
2016-09-25 20:54:09,012 Epoch[5] Batch [47400] Speed: 11.12 samples/sec Train-Accuracy=0.790000
2016-09-25 20:54:45,055 Epoch[5] Batch [47450] Speed: 11.10 samples/sec Train-Accuracy=0.808571
2016-09-25 20:55:21,085 Epoch[5] Batch [47500] Speed: 11.10 samples/sec Train-Accuracy=0.835714
2016-09-25 20:55:57,018 Epoch[5] Batch [47550] Speed: 11.13 samples/sec Train-Accuracy=0.821429
2016-09-25 20:56:32,953 Epoch[5] Batch [47600] Speed: 11.13 samples/sec Train-Accuracy=0.782857
2016-09-25 20:57:10,206 Epoch[5] Batch [47650] Speed: 10.74 samples/sec Train-Accuracy=0.814286
2016-09-25 20:57:51,461 Epoch[5] Batch [47700] Speed: 9.70 samples/sec Train-Accuracy=0.812857
2016-09-25 20:58:29,777 Epoch[5] Batch [47750] Speed: 10.44 samples/sec Train-Accuracy=0.840000
2016-09-25 20:59:08,685 Epoch[5] Batch [47800] Speed: 10.28 samples/sec Train-Accuracy=0.817143
2016-09-25 20:59:47,264 Epoch[5] Batch [47850] Speed: 10.37 samples/sec Train-Accuracy=0.822857
2016-09-25 21:00:25,774 Epoch[5] Batch [47900] Speed: 10.39 samples/sec Train-Accuracy=0.788571
2016-09-25 21:01:04,522 Epoch[5] Batch [47950] Speed: 10.32 samples/sec Train-Accuracy=0.807143
2016-09-25 21:01:42,083 Epoch[5] Batch [48000] Speed: 10.65 samples/sec Train-Accuracy=0.820000
2016-09-25 21:02:19,047 Epoch[5] Batch [48050] Speed: 10.82 samples/sec Train-Accuracy=0.817143
2016-09-25 21:02:55,805 Epoch[5] Batch [48100] Speed: 10.88 samples/sec Train-Accuracy=0.812857
2016-09-25 21:03:32,670 Epoch[5] Batch [48150] Speed: 10.85 samples/sec Train-Accuracy=0.790000
2016-09-25 21:04:12,588 Epoch[5] Batch [48200] Speed: 10.02 samples/sec Train-Accuracy=0.830000
2016-09-25 21:04:55,318 Epoch[5] Batch [48250] Speed: 9.36 samples/sec Train-Accuracy=0.810000
2016-09-25 21:05:33,744 Epoch[5] Batch [48300] Speed: 10.41 samples/sec Train-Accuracy=0.797143
2016-09-25 21:06:11,548 Epoch[5] Batch [48350] Speed: 10.58 samples/sec Train-Accuracy=0.795714
2016-09-25 21:06:48,880 Epoch[5] Batch [48400] Speed: 10.71 samples/sec Train-Accuracy=0.794286
2016-09-25 21:07:26,509 Epoch[5] Batch [48450] Speed: 10.63 samples/sec Train-Accuracy=0.810000
2016-09-25 21:08:02,623 Epoch[5] Batch [48500] Speed: 11.08 samples/sec Train-Accuracy=0.802857
2016-09-25 21:08:41,746 Epoch[5] Batch [48550] Speed: 10.22 samples/sec Train-Accuracy=0.784286
2016-09-25 21:09:21,532 Epoch[5] Batch [48600] Speed: 10.05 samples/sec Train-Accuracy=0.802857
2016-09-25 21:10:01,857 Epoch[5] Batch [48650] Speed: 9.92 samples/sec Train-Accuracy=0.782857
2016-09-25 21:10:38,974 Epoch[5] Batch [48700] Speed: 10.78 samples/sec Train-Accuracy=0.805714
2016-09-25 21:11:15,032 Epoch[5] Batch [48750] Speed: 11.09 samples/sec Train-Accuracy=0.784286
2016-09-25 21:11:51,070 Epoch[5] Batch [48800] Speed: 11.10 samples/sec Train-Accuracy=0.785714
2016-09-25 21:12:27,045 Epoch[5] Batch [48850] Speed: 11.12 samples/sec Train-Accuracy=0.811429
2016-09-25 21:13:03,078 Epoch[5] Batch [48900] Speed: 11.10 samples/sec Train-Accuracy=0.784286
2016-09-25 21:13:39,085 Epoch[5] Batch [48950] Speed: 11.11 samples/sec Train-Accuracy=0.820000
2016-09-25 21:14:15,173 Epoch[5] Batch [49000] Speed: 11.08 samples/sec Train-Accuracy=0.818571
2016-09-25 21:14:51,222 Epoch[5] Batch [49050] Speed: 11.10 samples/sec Train-Accuracy=0.801429
2016-09-25 21:15:27,321 Epoch[5] Batch [49100] Speed: 11.08 samples/sec Train-Accuracy=0.808571
2016-09-25 21:16:03,494 Epoch[5] Batch [49150] Speed: 11.06 samples/sec Train-Accuracy=0.805714
2016-09-25 21:16:39,587 Epoch[5] Batch [49200] Speed: 11.08 samples/sec Train-Accuracy=0.828571
2016-09-25 21:17:16,044 Epoch[5] Batch [49250] Speed: 10.97 samples/sec Train-Accuracy=0.838571
2016-09-25 21:17:54,579 Epoch[5] Batch [49300] Speed: 10.38 samples/sec Train-Accuracy=0.810000
2016-09-25 21:18:35,267 Epoch[5] Batch [49350] Speed: 9.83 samples/sec Train-Accuracy=0.812857
2016-09-25 21:19:11,304 Epoch[5] Batch [49400] Speed: 11.10 samples/sec Train-Accuracy=0.825714
2016-09-25 21:19:47,422 Epoch[5] Batch [49450] Speed: 11.07 samples/sec Train-Accuracy=0.805714
2016-09-25 21:20:23,492 Epoch[5] Batch [49500] Speed: 11.09 samples/sec Train-Accuracy=0.821429
2016-09-25 21:20:59,589 Epoch[5] Batch [49550] Speed: 11.08 samples/sec Train-Accuracy=0.782857
2016-09-25 21:21:35,656 Epoch[5] Batch [49600] Speed: 11.09 samples/sec Train-Accuracy=0.797143
2016-09-25 21:22:11,817 Epoch[5] Batch [49650] Speed: 11.06 samples/sec Train-Accuracy=0.817143
2016-09-25 21:22:48,692 Epoch[5] Batch [49700] Speed: 10.85 samples/sec Train-Accuracy=0.768571
2016-09-25 21:23:24,777 Epoch[5] Batch [49750] Speed: 11.09 samples/sec Train-Accuracy=0.825714
2016-09-25 21:24:00,922 Epoch[5] Batch [49800] Speed: 11.07 samples/sec Train-Accuracy=0.798571
2016-09-25 21:24:39,839 Epoch[5] Batch [49850] Speed: 10.28 samples/sec Train-Accuracy=0.787143
2016-09-25 21:25:15,780 Epoch[5] Batch [49900] Speed: 11.13 samples/sec Train-Accuracy=0.827143
2016-09-25 21:25:51,738 Epoch[5] Batch [49950] Speed: 11.12 samples/sec Train-Accuracy=0.825714
2016-09-25 21:26:27,728 Epoch[5] Batch [50000] Speed: 11.11 samples/sec Train-Accuracy=0.824286
2016-09-25 21:27:03,749 Epoch[5] Batch [50050] Speed: 11.10 samples/sec Train-Accuracy=0.817143
2016-09-25 21:27:40,073 Epoch[5] Batch [50100] Speed: 11.01 samples/sec Train-Accuracy=0.820000
2016-09-25 21:28:17,253 Epoch[5] Batch [50150] Speed: 10.76 samples/sec Train-Accuracy=0.818571
2016-09-25 21:28:54,181 Epoch[5] Batch [50200] Speed: 10.83 samples/sec Train-Accuracy=0.798571
2016-09-25 21:29:30,178 Epoch[5] Batch [50250] Speed: 11.11 samples/sec Train-Accuracy=0.824286
2016-09-25 21:30:06,233 Epoch[5] Batch [50300] Speed: 11.09 samples/sec Train-Accuracy=0.802857
2016-09-25 21:30:42,276 Epoch[5] Batch [50350] Speed: 11.10 samples/sec Train-Accuracy=0.795714
2016-09-25 21:31:18,346 Epoch[5] Batch [50400] Speed: 11.09 samples/sec Train-Accuracy=0.782857
2016-09-25 21:31:54,435 Epoch[5] Batch [50450] Speed: 11.08 samples/sec Train-Accuracy=0.815714
2016-09-25 21:32:30,447 Epoch[5] Batch [50500] Speed: 11.11 samples/sec Train-Accuracy=0.822857
2016-09-25 21:33:06,410 Epoch[5] Batch [50550] Speed: 11.12 samples/sec Train-Accuracy=0.815714
2016-09-25 21:33:42,409 Epoch[5] Batch [50600] Speed: 11.11 samples/sec Train-Accuracy=0.821429
2016-09-25 21:34:18,419 Epoch[5] Batch [50650] Speed: 11.11 samples/sec Train-Accuracy=0.794286
2016-09-25 21:34:54,463 Epoch[5] Batch [50700] Speed: 11.10 samples/sec Train-Accuracy=0.802857
2016-09-25 21:35:33,527 Epoch[5] Batch [50750] Speed: 10.24 samples/sec Train-Accuracy=0.781429
2016-09-25 21:36:14,543 Epoch[5] Batch [50800] Speed: 9.75 samples/sec Train-Accuracy=0.798571
2016-09-25 21:36:54,772 Epoch[5] Batch [50850] Speed: 9.94 samples/sec Train-Accuracy=0.782857
2016-09-25 21:37:33,368 Epoch[5] Batch [50900] Speed: 10.36 samples/sec Train-Accuracy=0.807143
2016-09-25 21:38:13,931 Epoch[5] Batch [50950] Speed: 9.86 samples/sec Train-Accuracy=0.784286
2016-09-25 21:38:51,068 Epoch[5] Batch [51000] Speed: 10.77 samples/sec Train-Accuracy=0.774286
2016-09-25 21:39:27,401 Epoch[5] Batch [51050] Speed: 11.01 samples/sec Train-Accuracy=0.802857
2016-09-25 21:40:03,449 Epoch[5] Batch [51100] Speed: 11.10 samples/sec Train-Accuracy=0.818571
2016-09-25 21:40:39,815 Epoch[5] Batch [51150] Speed: 11.00 samples/sec Train-Accuracy=0.820000
2016-09-25 21:41:15,949 Epoch[5] Batch [51200] Speed: 11.07 samples/sec Train-Accuracy=0.837143
2016-09-25 21:41:52,721 Epoch[5] Batch [51250] Speed: 10.88 samples/sec Train-Accuracy=0.782857
2016-09-25 21:42:28,810 Epoch[5] Batch [51300] Speed: 11.08 samples/sec Train-Accuracy=0.804286
2016-09-25 21:43:05,068 Epoch[5] Batch [51350] Speed: 11.03 samples/sec Train-Accuracy=0.780000
2016-09-25 21:43:41,437 Epoch[5] Batch [51400] Speed: 11.00 samples/sec Train-Accuracy=0.805714
2016-09-25 21:44:17,983 Epoch[5] Batch [51450] Speed: 10.95 samples/sec Train-Accuracy=0.828571
2016-09-25 21:44:54,185 Epoch[5] Batch [51500] Speed: 11.05 samples/sec Train-Accuracy=0.821429
2016-09-25 21:45:30,286 Epoch[5] Batch [51550] Speed: 11.08 samples/sec Train-Accuracy=0.825714
2016-09-25 21:46:06,768 Epoch[5] Batch [51600] Speed: 10.96 samples/sec Train-Accuracy=0.798571
2016-09-25 21:46:44,106 Epoch[5] Batch [51650] Speed: 10.71 samples/sec Train-Accuracy=0.787143
2016-09-25 21:47:21,431 Epoch[5] Batch [51700] Speed: 10.72 samples/sec Train-Accuracy=0.830000
2016-09-25 21:48:01,517 Epoch[5] Batch [51750] Speed: 9.98 samples/sec Train-Accuracy=0.818571
2016-09-25 21:48:40,733 Epoch[5] Batch [51800] Speed: 10.20 samples/sec Train-Accuracy=0.808571
2016-09-25 21:49:19,569 Epoch[5] Batch [51850] Speed: 10.30 samples/sec Train-Accuracy=0.782857
2016-09-25 21:49:55,991 Epoch[5] Batch [51900] Speed: 10.98 samples/sec Train-Accuracy=0.815714
2016-09-25 21:50:32,996 Epoch[5] Batch [51950] Speed: 10.81 samples/sec Train-Accuracy=0.794286
2016-09-25 21:51:10,172 Epoch[5] Batch [52000] Speed: 10.76 samples/sec Train-Accuracy=0.790000
2016-09-25 21:51:47,761 Epoch[5] Batch [52050] Speed: 10.64 samples/sec Train-Accuracy=0.807143
2016-09-25 21:52:25,356 Epoch[5] Batch [52100] Speed: 10.64 samples/sec Train-Accuracy=0.817143
2016-09-25 21:53:03,011 Epoch[5] Batch [52150] Speed: 10.62 samples/sec Train-Accuracy=0.838571
2016-09-25 21:53:40,206 Epoch[5] Batch [52200] Speed: 10.75 samples/sec Train-Accuracy=0.817143
2016-09-25 21:54:17,318 Epoch[5] Batch [52250] Speed: 10.78 samples/sec Train-Accuracy=0.754286
2016-09-25 21:54:53,838 Epoch[5] Batch [52300] Speed: 10.95 samples/sec Train-Accuracy=0.825714
2016-09-25 21:55:30,793 Epoch[5] Batch [52350] Speed: 10.82 samples/sec Train-Accuracy=0.785714
2016-09-25 21:56:08,028 Epoch[5] Batch [52400] Speed: 10.74 samples/sec Train-Accuracy=0.811429
2016-09-25 21:56:44,851 Epoch[5] Batch [52450] Speed: 10.86 samples/sec Train-Accuracy=0.771429
2016-09-25 21:57:21,198 Epoch[5] Batch [52500] Speed: 11.01 samples/sec Train-Accuracy=0.798571
2016-09-25 21:57:57,552 Epoch[5] Batch [52550] Speed: 11.00 samples/sec Train-Accuracy=0.844286
2016-09-25 21:58:34,090 Epoch[5] Batch [52600] Speed: 10.95 samples/sec Train-Accuracy=0.814286
2016-09-25 21:59:10,311 Epoch[5] Batch [52650] Speed: 11.04 samples/sec Train-Accuracy=0.790000
2016-09-25 21:59:46,481 Epoch[5] Batch [52700] Speed: 11.06 samples/sec Train-Accuracy=0.842857
2016-09-25 22:00:22,630 Epoch[5] Batch [52750] Speed: 11.07 samples/sec Train-Accuracy=0.807143
2016-09-25 22:00:58,784 Epoch[5] Batch [52800] Speed: 11.06 samples/sec Train-Accuracy=0.785714
2016-09-25 22:01:34,938 Epoch[5] Batch [52850] Speed: 11.06 samples/sec Train-Accuracy=0.834286
2016-09-25 22:02:11,293 Epoch[5] Batch [52900] Speed: 11.00 samples/sec Train-Accuracy=0.831429
2016-09-25 22:02:47,731 Epoch[5] Batch [52950] Speed: 10.98 samples/sec Train-Accuracy=0.811429
2016-09-25 22:03:24,303 Epoch[5] Batch [53000] Speed: 10.94 samples/sec Train-Accuracy=0.810000
2016-09-25 22:04:00,454 Epoch[5] Batch [53050] Speed: 11.06 samples/sec Train-Accuracy=0.795714
2016-09-25 22:04:36,602 Epoch[5] Batch [53100] Speed: 11.07 samples/sec Train-Accuracy=0.794286
2016-09-25 22:05:12,825 Epoch[5] Batch [53150] Speed: 11.04 samples/sec Train-Accuracy=0.780000
2016-09-25 22:05:50,227 Epoch[5] Batch [53200] Speed: 10.69 samples/sec Train-Accuracy=0.817143
2016-09-25 22:06:27,729 Epoch[5] Batch [53250] Speed: 10.67 samples/sec Train-Accuracy=0.814286
2016-09-25 22:07:04,282 Epoch[5] Batch [53300] Speed: 10.94 samples/sec Train-Accuracy=0.805714
2016-09-25 22:07:40,656 Epoch[5] Batch [53350] Speed: 11.00 samples/sec Train-Accuracy=0.827143
2016-09-25 22:08:17,041 Epoch[5] Batch [53400] Speed: 10.99 samples/sec Train-Accuracy=0.778571
2016-09-25 22:08:55,078 Epoch[5] Batch [53450] Speed: 10.52 samples/sec Train-Accuracy=0.794286
2016-09-25 22:09:32,899 Epoch[5] Batch [53500] Speed: 10.58 samples/sec Train-Accuracy=0.794286
2016-09-25 22:10:11,849 Epoch[5] Batch [53550] Speed: 10.27 samples/sec Train-Accuracy=0.811429
2016-09-25 22:10:51,032 Epoch[5] Batch [53600] Speed: 10.21 samples/sec Train-Accuracy=0.810000
2016-09-25 22:11:28,786 Epoch[5] Batch [53650] Speed: 10.60 samples/sec Train-Accuracy=0.810000
2016-09-25 22:12:06,145 Epoch[5] Batch [53700] Speed: 10.71 samples/sec Train-Accuracy=0.798571
2016-09-25 22:12:42,345 Epoch[5] Batch [53750] Speed: 11.05 samples/sec Train-Accuracy=0.805714
2016-09-25 22:13:18,511 Epoch[5] Batch [53800] Speed: 11.06 samples/sec Train-Accuracy=0.811429
2016-09-25 22:13:54,708 Epoch[5] Batch [53850] Speed: 11.05 samples/sec Train-Accuracy=0.787143
2016-09-25 22:14:35,848 Epoch[5] Batch [53900] Speed: 9.72 samples/sec Train-Accuracy=0.825714
2016-09-25 22:15:17,089 Epoch[5] Batch [53950] Speed: 9.70 samples/sec Train-Accuracy=0.807143
2016-09-25 22:15:57,729 Epoch[5] Batch [54000] Speed: 9.84 samples/sec Train-Accuracy=0.825714
2016-09-25 22:16:37,693 Epoch[5] Batch [54050] Speed: 10.01 samples/sec Train-Accuracy=0.801429
2016-09-25 22:17:18,536 Epoch[5] Batch [54100] Speed: 9.79 samples/sec Train-Accuracy=0.835714
2016-09-25 22:17:59,222 Epoch[5] Batch [54150] Speed: 9.83 samples/sec Train-Accuracy=0.811429
2016-09-25 22:18:38,448 Epoch[5] Batch [54200] Speed: 10.20 samples/sec Train-Accuracy=0.822857
2016-09-25 22:19:14,682 Epoch[5] Batch [54250] Speed: 11.04 samples/sec Train-Accuracy=0.862857
2016-09-25 22:19:51,346 Epoch[5] Batch [54300] Speed: 10.91 samples/sec Train-Accuracy=0.810000
2016-09-25 22:20:27,795 Epoch[5] Batch [54350] Speed: 10.97 samples/sec Train-Accuracy=0.794286
2016-09-25 22:21:03,833 Epoch[5] Batch [54400] Speed: 11.10 samples/sec Train-Accuracy=0.834286
2016-09-25 22:21:40,011 Epoch[5] Batch [54450] Speed: 11.06 samples/sec Train-Accuracy=0.831429
2016-09-25 22:22:16,261 Epoch[5] Batch [54500] Speed: 11.03 samples/sec Train-Accuracy=0.801429
2016-09-25 22:22:52,474 Epoch[5] Batch [54550] Speed: 11.05 samples/sec Train-Accuracy=0.801429
2016-09-25 22:23:28,856 Epoch[5] Batch [54600] Speed: 10.99 samples/sec Train-Accuracy=0.795714
2016-09-25 22:24:05,688 Epoch[5] Batch [54650] Speed: 10.86 samples/sec Train-Accuracy=0.810000
2016-09-25 22:24:42,400 Epoch[5] Batch [54700] Speed: 10.90 samples/sec Train-Accuracy=0.852857
2016-09-25 22:25:19,169 Epoch[5] Batch [54750] Speed: 10.88 samples/sec Train-Accuracy=0.821429
2016-09-25 22:25:55,671 Epoch[5] Batch [54800] Speed: 10.96 samples/sec Train-Accuracy=0.818571
2016-09-25 22:26:32,861 Epoch[5] Batch [54850] Speed: 10.76 samples/sec Train-Accuracy=0.802857
2016-09-25 22:27:10,500 Epoch[5] Batch [54900] Speed: 10.63 samples/sec Train-Accuracy=0.824286
2016-09-25 22:27:47,099 Epoch[5] Batch [54950] Speed: 10.93 samples/sec Train-Accuracy=0.811429
2016-09-25 22:28:24,396 Epoch[5] Batch [55000] Speed: 10.72 samples/sec Train-Accuracy=0.801429
2016-09-25 22:29:01,583 Epoch[5] Batch [55050] Speed: 10.76 samples/sec Train-Accuracy=0.797143
2016-09-25 22:29:38,124 Epoch[5] Batch [55100] Speed: 10.95 samples/sec Train-Accuracy=0.812857
2016-09-25 22:30:14,569 Epoch[5] Batch [55150] Speed: 10.98 samples/sec Train-Accuracy=0.792857
2016-09-25 22:30:50,753 Epoch[5] Batch [55200] Speed: 11.05 samples/sec Train-Accuracy=0.805714
2016-09-25 22:31:26,908 Epoch[5] Batch [55250] Speed: 11.06 samples/sec Train-Accuracy=0.814286
2016-09-25 22:32:03,014 Epoch[5] Batch [55300] Speed: 11.08 samples/sec Train-Accuracy=0.798571
2016-09-25 22:32:39,135 Epoch[5] Batch [55350] Speed: 11.07 samples/sec Train-Accuracy=0.824286
2016-09-25 22:33:15,115 Epoch[5] Batch [55400] Speed: 11.12 samples/sec Train-Accuracy=0.812857
2016-09-25 22:33:53,973 Epoch[5] Batch [55450] Speed: 10.29 samples/sec Train-Accuracy=0.778571
2016-09-25 22:34:35,342 Epoch[5] Batch [55500] Speed: 9.67 samples/sec Train-Accuracy=0.830000
2016-09-25 22:35:17,221 Epoch[5] Batch [55550] Speed: 9.55 samples/sec Train-Accuracy=0.810000
2016-09-25 22:35:53,623 Epoch[5] Batch [55600] Speed: 10.99 samples/sec Train-Accuracy=0.777143
2016-09-25 22:36:30,628 Epoch[5] Batch [55650] Speed: 10.81 samples/sec Train-Accuracy=0.831429
2016-09-25 22:37:07,372 Epoch[5] Batch [55700] Speed: 10.89 samples/sec Train-Accuracy=0.812857
2016-09-25 22:37:44,094 Epoch[5] Batch [55750] Speed: 10.89 samples/sec Train-Accuracy=0.805714
2016-09-25 22:38:22,968 Epoch[5] Batch [55800] Speed: 10.29 samples/sec Train-Accuracy=0.810000
2016-09-25 22:39:00,018 Epoch[5] Batch [55850] Speed: 10.80 samples/sec Train-Accuracy=0.788571
2016-09-25 22:39:36,091 Epoch[5] Batch [55900] Speed: 11.09 samples/sec Train-Accuracy=0.817143
2016-09-25 22:40:12,062 Epoch[5] Batch [55950] Speed: 11.12 samples/sec Train-Accuracy=0.824286
2016-09-25 22:40:48,018 Epoch[5] Batch [56000] Speed: 11.12 samples/sec Train-Accuracy=0.817143
2016-09-25 22:41:24,279 Epoch[5] Batch [56050] Speed: 11.03 samples/sec Train-Accuracy=0.794286
2016-09-25 22:42:01,034 Epoch[5] Batch [56100] Speed: 10.88 samples/sec Train-Accuracy=0.824286
2016-09-25 22:42:38,407 Epoch[5] Batch [56150] Speed: 10.70 samples/sec Train-Accuracy=0.781429
2016-09-25 22:43:17,363 Epoch[5] Batch [56200] Speed: 10.27 samples/sec Train-Accuracy=0.802857
2016-09-25 22:43:55,055 Epoch[5] Batch [56250] Speed: 10.61 samples/sec Train-Accuracy=0.777143
2016-09-25 22:44:31,719 Epoch[5] Batch [56300] Speed: 10.91 samples/sec Train-Accuracy=0.814286
2016-09-25 22:45:10,729 Epoch[5] Batch [56350] Speed: 10.25 samples/sec Train-Accuracy=0.801429
2016-09-25 22:45:49,509 Epoch[5] Batch [56400] Speed: 10.31 samples/sec Train-Accuracy=0.790000
2016-09-25 22:46:27,048 Epoch[5] Batch [56450] Speed: 10.66 samples/sec Train-Accuracy=0.817143
2016-09-25 22:47:03,135 Epoch[5] Batch [56500] Speed: 11.08 samples/sec Train-Accuracy=0.800000
2016-09-25 22:47:39,250 Epoch[5] Batch [56550] Speed: 11.08 samples/sec Train-Accuracy=0.834286
2016-09-25 22:48:15,675 Epoch[5] Batch [56600] Speed: 10.98 samples/sec Train-Accuracy=0.831429
2016-09-25 22:48:52,944 Epoch[5] Batch [56650] Speed: 10.73 samples/sec Train-Accuracy=0.807143
2016-09-25 22:49:30,382 Epoch[5] Batch [56700] Speed: 10.68 samples/sec Train-Accuracy=0.771429
2016-09-25 22:50:07,587 Epoch[5] Batch [56750] Speed: 10.75 samples/sec Train-Accuracy=0.815714
2016-09-25 22:50:43,705 Epoch[5] Batch [56800] Speed: 11.08 samples/sec Train-Accuracy=0.804286
2016-09-25 22:51:19,796 Epoch[5] Batch [56850] Speed: 11.08 samples/sec Train-Accuracy=0.794286
2016-09-25 22:51:55,951 Epoch[5] Batch [56900] Speed: 11.06 samples/sec Train-Accuracy=0.765714
2016-09-25 22:52:32,171 Epoch[5] Batch [56950] Speed: 11.04 samples/sec Train-Accuracy=0.810000
2016-09-25 22:53:08,412 Epoch[5] Batch [57000] Speed: 11.04 samples/sec Train-Accuracy=0.814286
2016-09-25 22:53:44,703 Epoch[5] Batch [57050] Speed: 11.02 samples/sec Train-Accuracy=0.842857
2016-09-25 22:54:23,207 Epoch[5] Batch [57100] Speed: 10.39 samples/sec Train-Accuracy=0.811429
2016-09-25 22:55:03,120 Epoch[5] Batch [57150] Speed: 10.02 samples/sec Train-Accuracy=0.778571
2016-09-25 22:55:43,196 Epoch[5] Batch [57200] Speed: 9.98 samples/sec Train-Accuracy=0.791429
2016-09-25 22:56:22,348 Epoch[5] Batch [57250] Speed: 10.22 samples/sec Train-Accuracy=0.840000
2016-09-25 22:57:01,257 Epoch[5] Batch [57300] Speed: 10.28 samples/sec Train-Accuracy=0.828571
2016-09-25 22:57:40,841 Epoch[5] Batch [57350] Speed: 10.11 samples/sec Train-Accuracy=0.788571
2016-09-25 22:58:18,023 Epoch[5] Batch [57400] Speed: 10.76 samples/sec Train-Accuracy=0.825714
2016-09-25 22:58:54,293 Epoch[5] Batch [57450] Speed: 11.03 samples/sec Train-Accuracy=0.778571
2016-09-25 22:59:30,492 Epoch[5] Batch [57500] Speed: 11.05 samples/sec Train-Accuracy=0.832857
2016-09-25 23:00:06,803 Epoch[5] Batch [57550] Speed: 11.02 samples/sec Train-Accuracy=0.814286
2016-09-25 23:00:43,227 Epoch[5] Batch [57600] Speed: 10.98 samples/sec Train-Accuracy=0.810000
2016-09-25 23:01:19,707 Epoch[5] Batch [57650] Speed: 10.96 samples/sec Train-Accuracy=0.811429
2016-09-25 23:01:55,907 Epoch[5] Batch [57700] Speed: 11.05 samples/sec Train-Accuracy=0.842857
2016-09-25 23:02:32,191 Epoch[5] Batch [57750] Speed: 11.02 samples/sec Train-Accuracy=0.808571
2016-09-25 23:03:08,250 Epoch[5] Batch [57800] Speed: 11.09 samples/sec Train-Accuracy=0.827143
2016-09-25 23:03:44,423 Epoch[5] Batch [57850] Speed: 11.06 samples/sec Train-Accuracy=0.798571
2016-09-25 23:04:20,568 Epoch[5] Batch [57900] Speed: 11.07 samples/sec Train-Accuracy=0.818571
2016-09-25 23:04:57,711 Epoch[5] Batch [57950] Speed: 10.77 samples/sec Train-Accuracy=0.822857
2016-09-25 23:05:33,803 Epoch[5] Batch [58000] Speed: 11.08 samples/sec Train-Accuracy=0.752857
2016-09-25 23:06:10,069 Epoch[5] Batch [58050] Speed: 11.03 samples/sec Train-Accuracy=0.797143
2016-09-25 23:06:46,093 Epoch[5] Batch [58100] Speed: 11.10 samples/sec Train-Accuracy=0.821429
2016-09-25 23:07:22,266 Epoch[5] Batch [58150] Speed: 11.06 samples/sec Train-Accuracy=0.811429
2016-09-25 23:07:58,771 Epoch[5] Batch [58200] Speed: 10.96 samples/sec Train-Accuracy=0.777143
2016-09-25 23:08:34,856 Epoch[5] Batch [58250] Speed: 11.08 samples/sec Train-Accuracy=0.818571
2016-09-25 23:09:10,884 Epoch[5] Batch [58300] Speed: 11.10 samples/sec Train-Accuracy=0.812857
2016-09-25 23:09:47,082 Epoch[5] Batch [58350] Speed: 11.05 samples/sec Train-Accuracy=0.810000
2016-09-25 23:10:23,205 Epoch[5] Batch [58400] Speed: 11.07 samples/sec Train-Accuracy=0.802857
2016-09-25 23:10:59,346 Epoch[5] Batch [58450] Speed: 11.07 samples/sec Train-Accuracy=0.830000
2016-09-25 23:11:35,435 Epoch[5] Batch [58500] Speed: 11.08 samples/sec Train-Accuracy=0.792857
2016-09-25 23:12:11,761 Epoch[5] Batch [58550] Speed: 11.01 samples/sec Train-Accuracy=0.822857
2016-09-25 23:12:47,978 Epoch[5] Batch [58600] Speed: 11.04 samples/sec Train-Accuracy=0.792857
2016-09-25 23:13:26,874 Epoch[5] Batch [58650] Speed: 10.28 samples/sec Train-Accuracy=0.814286
2016-09-25 23:14:04,639 Epoch[5] Batch [58700] Speed: 10.59 samples/sec Train-Accuracy=0.780000
2016-09-25 23:14:45,825 Epoch[5] Batch [58750] Speed: 9.71 samples/sec Train-Accuracy=0.817143
2016-09-25 23:15:23,176 Epoch[5] Batch [58800] Speed: 10.71 samples/sec Train-Accuracy=0.841429
2016-09-25 23:16:02,001 Epoch[5] Batch [58850] Speed: 10.30 samples/sec Train-Accuracy=0.818571
2016-09-25 23:16:42,668 Epoch[5] Batch [58900] Speed: 9.84 samples/sec Train-Accuracy=0.808571
2016-09-25 23:17:20,500 Epoch[5] Batch [58950] Speed: 10.57 samples/sec Train-Accuracy=0.808571
2016-09-25 23:17:57,737 Epoch[5] Batch [59000] Speed: 10.74 samples/sec Train-Accuracy=0.808571
2016-09-25 23:18:34,429 Epoch[5] Batch [59050] Speed: 10.90 samples/sec Train-Accuracy=0.795714
2016-09-25 23:19:10,827 Epoch[5] Batch [59100] Speed: 10.99 samples/sec Train-Accuracy=0.788571
2016-09-25 23:19:47,539 Epoch[5] Batch [59150] Speed: 10.90 samples/sec Train-Accuracy=0.777143
2016-09-25 23:20:23,591 Epoch[5] Batch [59200] Speed: 11.09 samples/sec Train-Accuracy=0.801429
2016-09-25 23:20:59,545 Epoch[5] Batch [59250] Speed: 11.13 samples/sec Train-Accuracy=0.845714
2016-09-25 23:21:35,605 Epoch[5] Batch [59300] Speed: 11.09 samples/sec Train-Accuracy=0.821429
2016-09-25 23:22:11,580 Epoch[5] Batch [59350] Speed: 11.12 samples/sec Train-Accuracy=0.784286
2016-09-25 23:22:50,195 Epoch[5] Batch [59400] Speed: 10.36 samples/sec Train-Accuracy=0.774286
2016-09-25 23:23:30,294 Epoch[5] Batch [59450] Speed: 9.98 samples/sec Train-Accuracy=0.831429
2016-09-25 23:24:08,884 Epoch[5] Batch [59500] Speed: 10.37 samples/sec Train-Accuracy=0.802857
2016-09-25 23:24:46,451 Epoch[5] Batch [59550] Speed: 10.65 samples/sec Train-Accuracy=0.820000
2016-09-25 23:25:23,941 Epoch[5] Batch [59600] Speed: 10.67 samples/sec Train-Accuracy=0.817143
2016-09-25 23:26:00,381 Epoch[5] Batch [59650] Speed: 10.98 samples/sec Train-Accuracy=0.818571
2016-09-25 23:26:36,485 Epoch[5] Batch [59700] Speed: 11.08 samples/sec Train-Accuracy=0.825714
2016-09-25 23:27:12,652 Epoch[5] Batch [59750] Speed: 11.06 samples/sec Train-Accuracy=0.832857
2016-09-25 23:27:48,781 Epoch[5] Batch [59800] Speed: 11.07 samples/sec Train-Accuracy=0.824286
2016-09-25 23:28:27,466 Epoch[5] Batch [59850] Speed: 10.34 samples/sec Train-Accuracy=0.798571
2016-09-25 23:29:06,173 Epoch[5] Batch [59900] Speed: 10.33 samples/sec Train-Accuracy=0.810000
2016-09-25 23:29:42,282 Epoch[5] Batch [59950] Speed: 11.08 samples/sec Train-Accuracy=0.798571
2016-09-25 23:30:18,422 Epoch[5] Batch [60000] Speed: 11.07 samples/sec Train-Accuracy=0.795714
2016-09-25 23:30:54,582 Epoch[5] Batch [60050] Speed: 11.06 samples/sec Train-Accuracy=0.814286
2016-09-25 23:31:30,838 Epoch[5] Batch [60100] Speed: 11.03 samples/sec Train-Accuracy=0.818571
2016-09-25 23:32:06,993 Epoch[5] Batch [60150] Speed: 11.06 samples/sec Train-Accuracy=0.822857
2016-09-25 23:32:43,071 Epoch[5] Batch [60200] Speed: 11.09 samples/sec Train-Accuracy=0.781429
2016-09-25 23:33:19,263 Epoch[5] Batch [60250] Speed: 11.05 samples/sec Train-Accuracy=0.831429
2016-09-25 23:33:55,517 Epoch[5] Batch [60300] Speed: 11.03 samples/sec Train-Accuracy=0.822857
2016-09-25 23:34:31,773 Epoch[5] Batch [60350] Speed: 11.03 samples/sec Train-Accuracy=0.795714
2016-09-25 23:35:08,093 Epoch[5] Batch [60400] Speed: 11.01 samples/sec Train-Accuracy=0.800000
2016-09-25 23:35:44,443 Epoch[5] Batch [60450] Speed: 11.00 samples/sec Train-Accuracy=0.831429
2016-09-25 23:36:20,752 Epoch[5] Batch [60500] Speed: 11.02 samples/sec Train-Accuracy=0.852857
2016-09-25 23:36:57,389 Epoch[5] Batch [60550] Speed: 10.92 samples/sec Train-Accuracy=0.795714
2016-09-25 23:37:33,708 Epoch[5] Batch [60600] Speed: 11.01 samples/sec Train-Accuracy=0.822857
2016-09-25 23:38:09,965 Epoch[5] Batch [60650] Speed: 11.03 samples/sec Train-Accuracy=0.830000
2016-09-25 23:38:46,349 Epoch[5] Batch [60700] Speed: 10.99 samples/sec Train-Accuracy=0.828571
2016-09-25 23:39:22,631 Epoch[5] Batch [60750] Speed: 11.02 samples/sec Train-Accuracy=0.810000
2016-09-25 23:39:58,862 Epoch[5] Batch [60800] Speed: 11.04 samples/sec Train-Accuracy=0.784286
2016-09-25 23:40:35,049 Epoch[5] Batch [60850] Speed: 11.05 samples/sec Train-Accuracy=0.828571
2016-09-25 23:41:11,181 Epoch[5] Batch [60900] Speed: 11.07 samples/sec Train-Accuracy=0.832857
2016-09-25 23:41:47,351 Epoch[5] Batch [60950] Speed: 11.06 samples/sec Train-Accuracy=0.821429
2016-09-25 23:42:23,399 Epoch[5] Batch [61000] Speed: 11.10 samples/sec Train-Accuracy=0.810000
2016-09-25 23:42:59,529 Epoch[5] Batch [61050] Speed: 11.07 samples/sec Train-Accuracy=0.821429
2016-09-25 23:43:35,827 Epoch[5] Batch [61100] Speed: 11.02 samples/sec Train-Accuracy=0.825714
2016-09-25 23:44:12,137 Epoch[5] Batch [61150] Speed: 11.02 samples/sec Train-Accuracy=0.778571
2016-09-25 23:44:49,626 Epoch[5] Batch [61200] Speed: 10.67 samples/sec Train-Accuracy=0.774286
2016-09-25 23:45:26,837 Epoch[5] Batch [61250] Speed: 10.75 samples/sec Train-Accuracy=0.785714
2016-09-25 23:46:03,213 Epoch[5] Batch [61300] Speed: 11.00 samples/sec Train-Accuracy=0.815714
2016-09-25 23:46:41,454 Epoch[5] Batch [61350] Speed: 10.46 samples/sec Train-Accuracy=0.837143
2016-09-25 23:47:21,486 Epoch[5] Batch [61400] Speed: 9.99 samples/sec Train-Accuracy=0.818571
2016-09-25 23:47:59,921 Epoch[5] Batch [61450] Speed: 10.41 samples/sec Train-Accuracy=0.821429
2016-09-25 23:48:38,014 Epoch[5] Batch [61500] Speed: 10.50 samples/sec Train-Accuracy=0.792857
2016-09-25 23:49:16,079 Epoch[5] Batch [61550] Speed: 10.51 samples/sec Train-Accuracy=0.832857
2016-09-25 23:49:54,187 Epoch[5] Batch [61600] Speed: 10.50 samples/sec Train-Accuracy=0.817143
2016-09-25 23:50:32,388 Epoch[5] Batch [61650] Speed: 10.47 samples/sec Train-Accuracy=0.844286
2016-09-25 23:51:10,500 Epoch[5] Batch [61700] Speed: 10.50 samples/sec Train-Accuracy=0.765714
2016-09-25 23:51:48,612 Epoch[5] Batch [61750] Speed: 10.50 samples/sec Train-Accuracy=0.807143
2016-09-25 23:52:26,795 Epoch[5] Batch [61800] Speed: 10.48 samples/sec Train-Accuracy=0.805714
2016-09-25 23:53:06,015 Epoch[5] Batch [61850] Speed: 10.20 samples/sec Train-Accuracy=0.820000
2016-09-25 23:53:45,876 Epoch[5] Batch [61900] Speed: 10.04 samples/sec Train-Accuracy=0.788571
2016-09-25 23:54:25,690 Epoch[5] Batch [61950] Speed: 10.05 samples/sec Train-Accuracy=0.811429
2016-09-25 23:55:05,402 Epoch[5] Batch [62000] Speed: 10.07 samples/sec Train-Accuracy=0.802857
2016-09-25 23:55:44,975 Epoch[5] Batch [62050] Speed: 10.11 samples/sec Train-Accuracy=0.777143
2016-09-25 23:56:23,979 Epoch[5] Batch [62100] Speed: 10.26 samples/sec Train-Accuracy=0.804286
2016-09-25 23:57:02,339 Epoch[5] Batch [62150] Speed: 10.43 samples/sec Train-Accuracy=0.760000
2016-09-25 23:57:41,948 Epoch[5] Batch [62200] Speed: 10.10 samples/sec Train-Accuracy=0.811429
2016-09-25 23:58:21,618 Epoch[5] Batch [62250] Speed: 10.08 samples/sec Train-Accuracy=0.817143
2016-09-25 23:59:00,085 Epoch[5] Batch [62300] Speed: 10.40 samples/sec Train-Accuracy=0.828571
2016-09-25 23:59:38,593 Epoch[5] Batch [62350] Speed: 10.39 samples/sec Train-Accuracy=0.860000
2016-09-26 00:00:17,208 Epoch[5] Batch [62400] Speed: 10.36 samples/sec Train-Accuracy=0.821429
2016-09-26 00:00:55,533 Epoch[5] Batch [62450] Speed: 10.44 samples/sec Train-Accuracy=0.798571
2016-09-26 00:01:33,654 Epoch[5] Batch [62500] Speed: 10.49 samples/sec Train-Accuracy=0.795714
2016-09-26 00:01:33,655 Epoch[5] Resetting Data Iterator
2016-09-26 00:01:33,655 Epoch[5] Time cost=46999.202
2016-09-26 00:02:26,940 Epoch[5] Validation-Accuracy=0.814286
2016-09-26 00:03:04,916 Epoch[6] Batch [50] Speed: 10.65 samples/sec Train-Accuracy=0.797143
2016-09-26 00:03:43,511 Epoch[6] Batch [100] Speed: 10.36 samples/sec Train-Accuracy=0.828571
2016-09-26 00:04:22,140 Epoch[6] Batch [150] Speed: 10.36 samples/sec Train-Accuracy=0.820000
2016-09-26 00:05:00,708 Epoch[6] Batch [200] Speed: 10.37 samples/sec Train-Accuracy=0.795714
2016-09-26 00:05:39,296 Epoch[6] Batch [250] Speed: 10.37 samples/sec Train-Accuracy=0.822857
2016-09-26 00:06:17,911 Epoch[6] Batch [300] Speed: 10.36 samples/sec Train-Accuracy=0.825714
2016-09-26 00:06:56,400 Epoch[6] Batch [350] Speed: 10.39 samples/sec Train-Accuracy=0.791429
2016-09-26 00:07:35,040 Epoch[6] Batch [400] Speed: 10.35 samples/sec Train-Accuracy=0.820000
2016-09-26 00:08:13,655 Epoch[6] Batch [450] Speed: 10.36 samples/sec Train-Accuracy=0.818571
2016-09-26 00:08:52,237 Epoch[6] Batch [500] Speed: 10.37 samples/sec Train-Accuracy=0.795714
2016-09-26 00:09:31,169 Epoch[6] Batch [550] Speed: 10.27 samples/sec Train-Accuracy=0.841429
2016-09-26 00:10:10,855 Epoch[6] Batch [600] Speed: 10.08 samples/sec Train-Accuracy=0.792857
2016-09-26 00:10:50,627 Epoch[6] Batch [650] Speed: 10.06 samples/sec Train-Accuracy=0.845714
2016-09-26 00:11:30,621 Epoch[6] Batch [700] Speed: 10.00 samples/sec Train-Accuracy=0.838571
2016-09-26 00:12:10,118 Epoch[6] Batch [750] Speed: 10.13 samples/sec Train-Accuracy=0.808571
2016-09-26 00:12:50,800 Epoch[6] Batch [800] Speed: 9.83 samples/sec Train-Accuracy=0.790000
2016-09-26 00:13:32,476 Epoch[6] Batch [850] Speed: 9.60 samples/sec Train-Accuracy=0.795714
2016-09-26 00:14:11,894 Epoch[6] Batch [900] Speed: 10.15 samples/sec Train-Accuracy=0.752857
2016-09-26 00:14:48,318 Epoch[6] Batch [950] Speed: 10.98 samples/sec Train-Accuracy=0.787143
2016-09-26 00:15:24,731 Epoch[6] Batch [1000] Speed: 10.99 samples/sec Train-Accuracy=0.792857
2016-09-26 00:16:01,168 Epoch[6] Batch [1050] Speed: 10.98 samples/sec Train-Accuracy=0.812857
2016-09-26 00:16:37,073 Epoch[6] Batch [1100] Speed: 11.14 samples/sec Train-Accuracy=0.832857
2016-09-26 00:17:13,098 Epoch[6] Batch [1150] Speed: 11.10 samples/sec Train-Accuracy=0.837143
2016-09-26 00:17:49,362 Epoch[6] Batch [1200] Speed: 11.03 samples/sec Train-Accuracy=0.822857
2016-09-26 00:18:25,592 Epoch[6] Batch [1250] Speed: 11.04 samples/sec Train-Accuracy=0.835714
2016-09-26 00:19:01,598 Epoch[6] Batch [1300] Speed: 11.11 samples/sec Train-Accuracy=0.810000
2016-09-26 00:19:37,568 Epoch[6] Batch [1350] Speed: 11.12 samples/sec Train-Accuracy=0.812857
2016-09-26 00:20:13,770 Epoch[6] Batch [1400] Speed: 11.05 samples/sec Train-Accuracy=0.792857
2016-09-26 00:20:50,072 Epoch[6] Batch [1450] Speed: 11.02 samples/sec Train-Accuracy=0.832857
2016-09-26 00:21:27,286 Epoch[6] Batch [1500] Speed: 10.75 samples/sec Train-Accuracy=0.821429
2016-09-26 00:22:04,747 Epoch[6] Batch [1550] Speed: 10.68 samples/sec Train-Accuracy=0.804286
2016-09-26 00:22:42,341 Epoch[6] Batch [1600] Speed: 10.64 samples/sec Train-Accuracy=0.835714
2016-09-26 00:23:20,062 Epoch[6] Batch [1650] Speed: 10.60 samples/sec Train-Accuracy=0.810000
2016-09-26 00:23:57,732 Epoch[6] Batch [1700] Speed: 10.62 samples/sec Train-Accuracy=0.790000
2016-09-26 00:24:34,936 Epoch[6] Batch [1750] Speed: 10.75 samples/sec Train-Accuracy=0.781429
2016-09-26 00:25:11,501 Epoch[6] Batch [1800] Speed: 10.94 samples/sec Train-Accuracy=0.815714
2016-09-26 00:25:47,713 Epoch[6] Batch [1850] Speed: 11.05 samples/sec Train-Accuracy=0.818571
2016-09-26 00:26:23,980 Epoch[6] Batch [1900] Speed: 11.03 samples/sec Train-Accuracy=0.807143
2016-09-26 00:27:03,088 Epoch[6] Batch [1950] Speed: 10.23 samples/sec Train-Accuracy=0.810000
2016-09-26 00:27:39,945 Epoch[6] Batch [2000] Speed: 10.85 samples/sec Train-Accuracy=0.820000
2016-09-26 00:28:16,959 Epoch[6] Batch [2050] Speed: 10.81 samples/sec Train-Accuracy=0.841429
2016-09-26 00:28:53,928 Epoch[6] Batch [2100] Speed: 10.82 samples/sec Train-Accuracy=0.832857
2016-09-26 00:29:29,954 Epoch[6] Batch [2150] Speed: 11.10 samples/sec Train-Accuracy=0.840000
2016-09-26 00:30:06,153 Epoch[6] Batch [2200] Speed: 11.05 samples/sec Train-Accuracy=0.815714
2016-09-26 00:30:42,230 Epoch[6] Batch [2250] Speed: 11.09 samples/sec Train-Accuracy=0.844286
2016-09-26 00:31:18,234 Epoch[6] Batch [2300] Speed: 11.11 samples/sec Train-Accuracy=0.824286
2016-09-26 00:31:54,557 Epoch[6] Batch [2350] Speed: 11.01 samples/sec Train-Accuracy=0.778571
2016-09-26 00:32:30,674 Epoch[6] Batch [2400] Speed: 11.08 samples/sec Train-Accuracy=0.820000
2016-09-26 00:33:06,877 Epoch[6] Batch [2450] Speed: 11.05 samples/sec Train-Accuracy=0.784286
2016-09-26 00:33:43,048 Epoch[6] Batch [2500] Speed: 11.06 samples/sec Train-Accuracy=0.825714
2016-09-26 00:34:19,201 Epoch[6] Batch [2550] Speed: 11.06 samples/sec Train-Accuracy=0.812857
2016-09-26 00:34:55,432 Epoch[6] Batch [2600] Speed: 11.04 samples/sec Train-Accuracy=0.822857
2016-09-26 00:35:31,562 Epoch[6] Batch [2650] Speed: 11.07 samples/sec Train-Accuracy=0.804286
2016-09-26 00:36:07,730 Epoch[6] Batch [2700] Speed: 11.06 samples/sec Train-Accuracy=0.788571
2016-09-26 00:36:43,806 Epoch[6] Batch [2750] Speed: 11.09 samples/sec Train-Accuracy=0.808571
2016-09-26 00:37:19,913 Epoch[6] Batch [2800] Speed: 11.08 samples/sec Train-Accuracy=0.797143
2016-09-26 00:37:55,920 Epoch[6] Batch [2850] Speed: 11.11 samples/sec Train-Accuracy=0.862857
2016-09-26 00:38:31,914 Epoch[6] Batch [2900] Speed: 11.11 samples/sec Train-Accuracy=0.824286
2016-09-26 00:39:09,726 Epoch[6] Batch [2950] Speed: 10.58 samples/sec Train-Accuracy=0.788571
2016-09-26 00:39:46,118 Epoch[6] Batch [3000] Speed: 10.99 samples/sec Train-Accuracy=0.775714
2016-09-26 00:40:23,444 Epoch[6] Batch [3050] Speed: 10.72 samples/sec Train-Accuracy=0.831429
2016-09-26 00:41:00,187 Epoch[6] Batch [3100] Speed: 10.89 samples/sec Train-Accuracy=0.835714
2016-09-26 00:41:36,387 Epoch[6] Batch [3150] Speed: 11.05 samples/sec Train-Accuracy=0.840000
2016-09-26 00:42:12,637 Epoch[6] Batch [3200] Speed: 11.03 samples/sec Train-Accuracy=0.805714
2016-09-26 00:42:48,682 Epoch[6] Batch [3250] Speed: 11.10 samples/sec Train-Accuracy=0.810000
2016-09-26 00:43:24,771 Epoch[6] Batch [3300] Speed: 11.08 samples/sec Train-Accuracy=0.801429
2016-09-26 00:44:00,838 Epoch[6] Batch [3350] Speed: 11.09 samples/sec Train-Accuracy=0.768571
2016-09-26 00:44:37,060 Epoch[6] Batch [3400] Speed: 11.04 samples/sec Train-Accuracy=0.848571
2016-09-26 00:45:13,257 Epoch[6] Batch [3450] Speed: 11.05 samples/sec Train-Accuracy=0.788571
2016-09-26 00:45:50,036 Epoch[6] Batch [3500] Speed: 10.88 samples/sec Train-Accuracy=0.807143
2016-09-26 00:46:27,666 Epoch[6] Batch [3550] Speed: 10.63 samples/sec Train-Accuracy=0.804286
2016-09-26 00:47:04,193 Epoch[6] Batch [3600] Speed: 10.95 samples/sec Train-Accuracy=0.802857
2016-09-26 00:47:40,336 Epoch[6] Batch [3650] Speed: 11.07 samples/sec Train-Accuracy=0.791429
2016-09-26 00:48:16,720 Epoch[6] Batch [3700] Speed: 10.99 samples/sec Train-Accuracy=0.814286
2016-09-26 00:48:53,252 Epoch[6] Batch [3750] Speed: 10.95 samples/sec Train-Accuracy=0.818571
2016-09-26 00:49:29,830 Epoch[6] Batch [3800] Speed: 10.94 samples/sec Train-Accuracy=0.842857
2016-09-26 00:50:06,504 Epoch[6] Batch [3850] Speed: 10.91 samples/sec Train-Accuracy=0.802857
2016-09-26 00:50:43,262 Epoch[6] Batch [3900] Speed: 10.88 samples/sec Train-Accuracy=0.771429
2016-09-26 00:51:20,698 Epoch[6] Batch [3950] Speed: 10.69 samples/sec Train-Accuracy=0.791429
2016-09-26 00:51:58,725 Epoch[6] Batch [4000] Speed: 10.52 samples/sec Train-Accuracy=0.800000
2016-09-26 00:52:35,578 Epoch[6] Batch [4050] Speed: 10.85 samples/sec Train-Accuracy=0.798571
2016-09-26 00:53:12,150 Epoch[6] Batch [4100] Speed: 10.94 samples/sec Train-Accuracy=0.790000
2016-09-26 00:53:48,734 Epoch[6] Batch [4150] Speed: 10.93 samples/sec Train-Accuracy=0.812857
2016-09-26 00:54:25,303 Epoch[6] Batch [4200] Speed: 10.94 samples/sec Train-Accuracy=0.812857
2016-09-26 00:55:01,910 Epoch[6] Batch [4250] Speed: 10.93 samples/sec Train-Accuracy=0.825714
2016-09-26 00:55:38,516 Epoch[6] Batch [4300] Speed: 10.93 samples/sec Train-Accuracy=0.827143
2016-09-26 00:56:15,053 Epoch[6] Batch [4350] Speed: 10.95 samples/sec Train-Accuracy=0.850000
2016-09-26 00:56:51,552 Epoch[6] Batch [4400] Speed: 10.96 samples/sec Train-Accuracy=0.800000
2016-09-26 00:57:28,122 Epoch[6] Batch [4450] Speed: 10.94 samples/sec Train-Accuracy=0.808571
2016-09-26 00:58:04,804 Epoch[6] Batch [4500] Speed: 10.90 samples/sec Train-Accuracy=0.818571
2016-09-26 00:58:41,775 Epoch[6] Batch [4550] Speed: 10.82 samples/sec Train-Accuracy=0.828571
2016-09-26 00:59:18,329 Epoch[6] Batch [4600] Speed: 10.94 samples/sec Train-Accuracy=0.820000
2016-09-26 00:59:54,366 Epoch[6] Batch [4650] Speed: 11.10 samples/sec Train-Accuracy=0.801429
2016-09-26 01:00:30,407 Epoch[6] Batch [4700] Speed: 11.10 samples/sec Train-Accuracy=0.834286
2016-09-26 01:01:06,495 Epoch[6] Batch [4750] Speed: 11.08 samples/sec Train-Accuracy=0.847143
2016-09-26 01:01:42,599 Epoch[6] Batch [4800] Speed: 11.08 samples/sec Train-Accuracy=0.805714
2016-09-26 01:02:18,648 Epoch[6] Batch [4850] Speed: 11.10 samples/sec Train-Accuracy=0.802857
2016-09-26 01:02:54,795 Epoch[6] Batch [4900] Speed: 11.07 samples/sec Train-Accuracy=0.811429
2016-09-26 01:03:30,968 Epoch[6] Batch [4950] Speed: 11.06 samples/sec Train-Accuracy=0.817143
2016-09-26 01:04:07,105 Epoch[6] Batch [5000] Speed: 11.07 samples/sec Train-Accuracy=0.791429
2016-09-26 01:04:43,383 Epoch[6] Batch [5050] Speed: 11.03 samples/sec Train-Accuracy=0.814286
2016-09-26 01:05:20,213 Epoch[6] Batch [5100] Speed: 10.86 samples/sec Train-Accuracy=0.814286
2016-09-26 01:05:56,498 Epoch[6] Batch [5150] Speed: 11.02 samples/sec Train-Accuracy=0.784286
2016-09-26 01:06:34,071 Epoch[6] Batch [5200] Speed: 10.65 samples/sec Train-Accuracy=0.831429
2016-09-26 01:07:10,173 Epoch[6] Batch [5250] Speed: 11.08 samples/sec Train-Accuracy=0.812857
2016-09-26 01:07:46,325 Epoch[6] Batch [5300] Speed: 11.06 samples/sec Train-Accuracy=0.828571
2016-09-26 01:08:22,363 Epoch[6] Batch [5350] Speed: 11.10 samples/sec Train-Accuracy=0.815714
2016-09-26 01:08:58,564 Epoch[6] Batch [5400] Speed: 11.05 samples/sec Train-Accuracy=0.810000
2016-09-26 01:09:35,747 Epoch[6] Batch [5450] Speed: 10.76 samples/sec Train-Accuracy=0.802857
2016-09-26 01:10:12,635 Epoch[6] Batch [5500] Speed: 10.84 samples/sec Train-Accuracy=0.814286
2016-09-26 01:10:50,056 Epoch[6] Batch [5550] Speed: 10.69 samples/sec Train-Accuracy=0.792857
2016-09-26 01:11:27,522 Epoch[6] Batch [5600] Speed: 10.68 samples/sec Train-Accuracy=0.812857
2016-09-26 01:12:03,947 Epoch[6] Batch [5650] Speed: 10.98 samples/sec Train-Accuracy=0.854286
2016-09-26 01:12:40,248 Epoch[6] Batch [5700] Speed: 11.02 samples/sec Train-Accuracy=0.850000
2016-09-26 01:13:17,474 Epoch[6] Batch [5750] Speed: 10.75 samples/sec Train-Accuracy=0.817143
2016-09-26 01:13:54,376 Epoch[6] Batch [5800] Speed: 10.84 samples/sec Train-Accuracy=0.805714
2016-09-26 01:14:30,539 Epoch[6] Batch [5850] Speed: 11.06 samples/sec Train-Accuracy=0.825714
2016-09-26 01:15:08,007 Epoch[6] Batch [5900] Speed: 10.68 samples/sec Train-Accuracy=0.812857
2016-09-26 01:15:44,747 Epoch[6] Batch [5950] Speed: 10.89 samples/sec Train-Accuracy=0.817143
2016-09-26 01:16:21,259 Epoch[6] Batch [6000] Speed: 10.96 samples/sec Train-Accuracy=0.838571
2016-09-26 01:16:57,616 Epoch[6] Batch [6050] Speed: 11.00 samples/sec Train-Accuracy=0.824286
2016-09-26 01:17:33,857 Epoch[6] Batch [6100] Speed: 11.04 samples/sec Train-Accuracy=0.814286
2016-09-26 01:18:11,611 Epoch[6] Batch [6150] Speed: 10.59 samples/sec Train-Accuracy=0.821429
2016-09-26 01:18:49,914 Epoch[6] Batch [6200] Speed: 10.44 samples/sec Train-Accuracy=0.808571
2016-09-26 01:19:29,127 Epoch[6] Batch [6250] Speed: 10.20 samples/sec Train-Accuracy=0.835714
2016-09-26 01:20:06,721 Epoch[6] Batch [6300] Speed: 10.64 samples/sec Train-Accuracy=0.818571
2016-09-26 01:20:44,446 Epoch[6] Batch [6350] Speed: 10.60 samples/sec Train-Accuracy=0.822857
2016-09-26 01:21:22,148 Epoch[6] Batch [6400] Speed: 10.61 samples/sec Train-Accuracy=0.801429
2016-09-26 01:21:59,803 Epoch[6] Batch [6450] Speed: 10.62 samples/sec Train-Accuracy=0.791429
2016-09-26 01:22:37,209 Epoch[6] Batch [6500] Speed: 10.69 samples/sec Train-Accuracy=0.828571
2016-09-26 01:23:15,138 Epoch[6] Batch [6550] Speed: 10.55 samples/sec Train-Accuracy=0.817143
2016-09-26 01:23:53,178 Epoch[6] Batch [6600] Speed: 10.52 samples/sec Train-Accuracy=0.820000
2016-09-26 01:24:31,372 Epoch[6] Batch [6650] Speed: 10.47 samples/sec Train-Accuracy=0.770000
2016-09-26 01:25:12,172 Epoch[6] Batch [6700] Speed: 9.80 samples/sec Train-Accuracy=0.827143
2016-09-26 01:25:51,532 Epoch[6] Batch [6750] Speed: 10.16 samples/sec Train-Accuracy=0.810000
2016-09-26 01:26:30,288 Epoch[6] Batch [6800] Speed: 10.32 samples/sec Train-Accuracy=0.791429
2016-09-26 01:27:08,574 Epoch[6] Batch [6850] Speed: 10.45 samples/sec Train-Accuracy=0.822857
2016-09-26 01:27:46,918 Epoch[6] Batch [6900] Speed: 10.43 samples/sec Train-Accuracy=0.825714
2016-09-26 01:28:25,365 Epoch[6] Batch [6950] Speed: 10.40 samples/sec Train-Accuracy=0.817143
2016-09-26 01:29:03,764 Epoch[6] Batch [7000] Speed: 10.42 samples/sec Train-Accuracy=0.822857
2016-09-26 01:29:42,238 Epoch[6] Batch [7050] Speed: 10.40 samples/sec Train-Accuracy=0.804286
2016-09-26 01:30:20,673 Epoch[6] Batch [7100] Speed: 10.41 samples/sec Train-Accuracy=0.830000
2016-09-26 01:30:58,738 Epoch[6] Batch [7150] Speed: 10.51 samples/sec Train-Accuracy=0.854286
2016-09-26 01:31:36,717 Epoch[6] Batch [7200] Speed: 10.53 samples/sec Train-Accuracy=0.812857
2016-09-26 01:32:14,732 Epoch[6] Batch [7250] Speed: 10.52 samples/sec Train-Accuracy=0.802857
2016-09-26 01:32:52,846 Epoch[6] Batch [7300] Speed: 10.49 samples/sec Train-Accuracy=0.812857
2016-09-26 01:33:31,161 Epoch[6] Batch [7350] Speed: 10.44 samples/sec Train-Accuracy=0.832857
2016-09-26 01:34:10,057 Epoch[6] Batch [7400] Speed: 10.28 samples/sec Train-Accuracy=0.820000
2016-09-26 01:34:48,722 Epoch[6] Batch [7450] Speed: 10.35 samples/sec Train-Accuracy=0.845714
2016-09-26 01:35:27,381 Epoch[6] Batch [7500] Speed: 10.35 samples/sec Train-Accuracy=0.822857
2016-09-26 01:36:05,994 Epoch[6] Batch [7550] Speed: 10.36 samples/sec Train-Accuracy=0.790000
2016-09-26 01:36:44,626 Epoch[6] Batch [7600] Speed: 10.35 samples/sec Train-Accuracy=0.812857
2016-09-26 01:37:23,200 Epoch[6] Batch [7650] Speed: 10.37 samples/sec Train-Accuracy=0.810000
2016-09-26 01:38:01,756 Epoch[6] Batch [7700] Speed: 10.37 samples/sec Train-Accuracy=0.822857
2016-09-26 01:38:40,257 Epoch[6] Batch [7750] Speed: 10.39 samples/sec Train-Accuracy=0.790000
2016-09-26 01:39:18,640 Epoch[6] Batch [7800] Speed: 10.42 samples/sec Train-Accuracy=0.821429
2016-09-26 01:39:57,710 Epoch[6] Batch [7850] Speed: 10.24 samples/sec Train-Accuracy=0.837143
2016-09-26 01:40:35,693 Epoch[6] Batch [7900] Speed: 10.53 samples/sec Train-Accuracy=0.845714
2016-09-26 01:41:13,701 Epoch[6] Batch [7950] Speed: 10.52 samples/sec Train-Accuracy=0.782857
2016-09-26 01:41:51,748 Epoch[6] Batch [8000] Speed: 10.51 samples/sec Train-Accuracy=0.798571
2016-09-26 01:42:29,878 Epoch[6] Batch [8050] Speed: 10.49 samples/sec Train-Accuracy=0.810000
2016-09-26 01:43:09,331 Epoch[6] Batch [8100] Speed: 10.14 samples/sec Train-Accuracy=0.831429
2016-09-26 01:43:47,687 Epoch[6] Batch [8150] Speed: 10.43 samples/sec Train-Accuracy=0.827143
2016-09-26 01:44:25,463 Epoch[6] Batch [8200] Speed: 10.59 samples/sec Train-Accuracy=0.811429
2016-09-26 01:45:03,160 Epoch[6] Batch [8250] Speed: 10.61 samples/sec Train-Accuracy=0.831429
2016-09-26 01:45:41,303 Epoch[6] Batch [8300] Speed: 10.49 samples/sec Train-Accuracy=0.822857
2016-09-26 01:46:18,601 Epoch[6] Batch [8350] Speed: 10.72 samples/sec Train-Accuracy=0.814286
2016-09-26 01:46:55,429 Epoch[6] Batch [8400] Speed: 10.86 samples/sec Train-Accuracy=0.802857
2016-09-26 01:47:32,112 Epoch[6] Batch [8450] Speed: 10.90 samples/sec Train-Accuracy=0.828571
2016-09-26 01:48:09,009 Epoch[6] Batch [8500] Speed: 10.84 samples/sec Train-Accuracy=0.812857
2016-09-26 01:48:46,703 Epoch[6] Batch [8550] Speed: 10.61 samples/sec Train-Accuracy=0.818571
2016-09-26 01:49:23,415 Epoch[6] Batch [8600] Speed: 10.90 samples/sec Train-Accuracy=0.787143
2016-09-26 01:50:00,218 Epoch[6] Batch [8650] Speed: 10.87 samples/sec Train-Accuracy=0.814286
2016-09-26 01:50:37,535 Epoch[6] Batch [8700] Speed: 10.72 samples/sec Train-Accuracy=0.810000
2016-09-26 01:51:15,152 Epoch[6] Batch [8750] Speed: 10.63 samples/sec Train-Accuracy=0.781429
2016-09-26 01:51:51,939 Epoch[6] Batch [8800] Speed: 10.87 samples/sec Train-Accuracy=0.817143
2016-09-26 01:52:28,979 Epoch[6] Batch [8850] Speed: 10.80 samples/sec Train-Accuracy=0.812857
2016-09-26 01:53:06,484 Epoch[6] Batch [8900] Speed: 10.67 samples/sec Train-Accuracy=0.817143
2016-09-26 01:53:43,481 Epoch[6] Batch [8950] Speed: 10.81 samples/sec Train-Accuracy=0.814286
2016-09-26 01:54:21,110 Epoch[6] Batch [9000] Speed: 10.63 samples/sec Train-Accuracy=0.780000
2016-09-26 01:54:59,184 Epoch[6] Batch [9050] Speed: 10.51 samples/sec Train-Accuracy=0.817143
2016-09-26 01:55:37,000 Epoch[6] Batch [9100] Speed: 10.58 samples/sec Train-Accuracy=0.804286
2016-09-26 01:56:14,887 Epoch[6] Batch [9150] Speed: 10.56 samples/sec Train-Accuracy=0.807143
2016-09-26 01:56:52,638 Epoch[6] Batch [9200] Speed: 10.60 samples/sec Train-Accuracy=0.814286
2016-09-26 01:57:29,771 Epoch[6] Batch [9250] Speed: 10.77 samples/sec Train-Accuracy=0.825714
2016-09-26 01:58:06,916 Epoch[6] Batch [9300] Speed: 10.77 samples/sec Train-Accuracy=0.791429
2016-09-26 01:58:44,058 Epoch[6] Batch [9350] Speed: 10.77 samples/sec Train-Accuracy=0.812857
2016-09-26 01:59:21,120 Epoch[6] Batch [9400] Speed: 10.79 samples/sec Train-Accuracy=0.807143
2016-09-26 01:59:58,344 Epoch[6] Batch [9450] Speed: 10.75 samples/sec Train-Accuracy=0.807143
2016-09-26 02:00:35,740 Epoch[6] Batch [9500] Speed: 10.70 samples/sec Train-Accuracy=0.792857
2016-09-26 02:01:15,130 Epoch[6] Batch [9550] Speed: 10.15 samples/sec Train-Accuracy=0.814286
2016-09-26 02:01:54,317 Epoch[6] Batch [9600] Speed: 10.21 samples/sec Train-Accuracy=0.798571
2016-09-26 02:02:33,821 Epoch[6] Batch [9650] Speed: 10.13 samples/sec Train-Accuracy=0.824286
2016-09-26 02:03:13,519 Epoch[6] Batch [9700] Speed: 10.08 samples/sec Train-Accuracy=0.801429
2016-09-26 02:03:53,416 Epoch[6] Batch [9750] Speed: 10.03 samples/sec Train-Accuracy=0.831429
2016-09-26 02:04:32,524 Epoch[6] Batch [9800] Speed: 10.23 samples/sec Train-Accuracy=0.811429
2016-09-26 02:05:11,546 Epoch[6] Batch [9850] Speed: 10.25 samples/sec Train-Accuracy=0.794286
2016-09-26 02:05:49,892 Epoch[6] Batch [9900] Speed: 10.43 samples/sec Train-Accuracy=0.842857
2016-09-26 02:06:28,069 Epoch[6] Batch [9950] Speed: 10.48 samples/sec Train-Accuracy=0.844286
2016-09-26 02:07:04,529 Epoch[6] Batch [10000] Speed: 10.97 samples/sec Train-Accuracy=0.805714
2016-09-26 02:07:40,668 Epoch[6] Batch [10050] Speed: 11.07 samples/sec Train-Accuracy=0.831429
2016-09-26 02:08:16,850 Epoch[6] Batch [10100] Speed: 11.06 samples/sec Train-Accuracy=0.841429
2016-09-26 02:08:53,967 Epoch[6] Batch [10150] Speed: 10.78 samples/sec Train-Accuracy=0.805714
2016-09-26 02:09:34,269 Epoch[6] Batch [10200] Speed: 9.93 samples/sec Train-Accuracy=0.834286
2016-09-26 02:10:10,456 Epoch[6] Batch [10250] Speed: 11.05 samples/sec Train-Accuracy=0.831429
2016-09-26 02:10:46,631 Epoch[6] Batch [10300] Speed: 11.06 samples/sec Train-Accuracy=0.808571
2016-09-26 02:11:22,733 Epoch[6] Batch [10350] Speed: 11.08 samples/sec Train-Accuracy=0.815714
2016-09-26 02:11:58,836 Epoch[6] Batch [10400] Speed: 11.08 samples/sec Train-Accuracy=0.810000
2016-09-26 02:12:34,925 Epoch[6] Batch [10450] Speed: 11.08 samples/sec Train-Accuracy=0.812857
2016-09-26 02:13:11,058 Epoch[6] Batch [10500] Speed: 11.07 samples/sec Train-Accuracy=0.821429
2016-09-26 02:13:50,930 Epoch[6] Batch [10550] Speed: 10.03 samples/sec Train-Accuracy=0.804286
2016-09-26 02:14:28,828 Epoch[6] Batch [10600] Speed: 10.55 samples/sec Train-Accuracy=0.757143
2016-09-26 02:15:06,808 Epoch[6] Batch [10650] Speed: 10.53 samples/sec Train-Accuracy=0.794286
2016-09-26 02:15:44,450 Epoch[6] Batch [10700] Speed: 10.63 samples/sec Train-Accuracy=0.814286
2016-09-26 02:16:22,056 Epoch[6] Batch [10750] Speed: 10.64 samples/sec Train-Accuracy=0.828571
2016-09-26 02:16:59,596 Epoch[6] Batch [10800] Speed: 10.66 samples/sec Train-Accuracy=0.824286
2016-09-26 02:17:37,429 Epoch[6] Batch [10850] Speed: 10.57 samples/sec Train-Accuracy=0.814286
2016-09-26 02:18:15,398 Epoch[6] Batch [10900] Speed: 10.54 samples/sec Train-Accuracy=0.820000
2016-09-26 02:18:53,315 Epoch[6] Batch [10950] Speed: 10.55 samples/sec Train-Accuracy=0.855714
2016-09-26 02:19:31,194 Epoch[6] Batch [11000] Speed: 10.56 samples/sec Train-Accuracy=0.857143
2016-09-26 02:20:09,832 Epoch[6] Batch [11050] Speed: 10.35 samples/sec Train-Accuracy=0.794286
2016-09-26 02:20:49,317 Epoch[6] Batch [11100] Speed: 10.13 samples/sec Train-Accuracy=0.835714
2016-09-26 02:21:27,562 Epoch[6] Batch [11150] Speed: 10.46 samples/sec Train-Accuracy=0.800000
2016-09-26 02:22:06,200 Epoch[6] Batch [11200] Speed: 10.35 samples/sec Train-Accuracy=0.820000
2016-09-26 02:22:43,250 Epoch[6] Batch [11250] Speed: 10.80 samples/sec Train-Accuracy=0.797143
2016-09-26 02:23:20,307 Epoch[6] Batch [11300] Speed: 10.79 samples/sec Train-Accuracy=0.791429
2016-09-26 02:23:57,272 Epoch[6] Batch [11350] Speed: 10.82 samples/sec Train-Accuracy=0.820000
2016-09-26 02:24:34,195 Epoch[6] Batch [11400] Speed: 10.83 samples/sec Train-Accuracy=0.818571
2016-09-26 02:25:11,025 Epoch[6] Batch [11450] Speed: 10.86 samples/sec Train-Accuracy=0.805714
2016-09-26 02:25:48,980 Epoch[6] Batch [11500] Speed: 10.54 samples/sec Train-Accuracy=0.771429
2016-09-26 02:26:27,170 Epoch[6] Batch [11550] Speed: 10.47 samples/sec Train-Accuracy=0.837143
2016-09-26 02:27:05,244 Epoch[6] Batch [11600] Speed: 10.51 samples/sec Train-Accuracy=0.818571
2016-09-26 02:27:42,962 Epoch[6] Batch [11650] Speed: 10.61 samples/sec Train-Accuracy=0.805714
2016-09-26 02:28:21,354 Epoch[6] Batch [11700] Speed: 10.42 samples/sec Train-Accuracy=0.795714
2016-09-26 02:28:59,897 Epoch[6] Batch [11750] Speed: 10.38 samples/sec Train-Accuracy=0.842857
2016-09-26 02:29:37,133 Epoch[6] Batch [11800] Speed: 10.74 samples/sec Train-Accuracy=0.840000
2016-09-26 02:30:14,204 Epoch[6] Batch [11850] Speed: 10.79 samples/sec Train-Accuracy=0.808571
2016-09-26 02:30:51,375 Epoch[6] Batch [11900] Speed: 10.76 samples/sec Train-Accuracy=0.831429
2016-09-26 02:31:28,409 Epoch[6] Batch [11950] Speed: 10.80 samples/sec Train-Accuracy=0.785714
2016-09-26 02:32:05,565 Epoch[6] Batch [12000] Speed: 10.77 samples/sec Train-Accuracy=0.788571
2016-09-26 02:32:44,053 Epoch[6] Batch [12050] Speed: 10.39 samples/sec Train-Accuracy=0.820000
2016-09-26 02:33:20,361 Epoch[6] Batch [12100] Speed: 11.02 samples/sec Train-Accuracy=0.790000
2016-09-26 02:33:58,880 Epoch[6] Batch [12150] Speed: 10.38 samples/sec Train-Accuracy=0.810000
2016-09-26 02:34:36,049 Epoch[6] Batch [12200] Speed: 10.76 samples/sec Train-Accuracy=0.831429
2016-09-26 02:35:13,803 Epoch[6] Batch [12250] Speed: 10.59 samples/sec Train-Accuracy=0.801429
2016-09-26 02:35:52,412 Epoch[6] Batch [12300] Speed: 10.36 samples/sec Train-Accuracy=0.834286
2016-09-26 02:36:29,742 Epoch[6] Batch [12350] Speed: 10.72 samples/sec Train-Accuracy=0.830000
2016-09-26 02:37:05,887 Epoch[6] Batch [12400] Speed: 11.07 samples/sec Train-Accuracy=0.817143
2016-09-26 02:37:42,397 Epoch[6] Batch [12450] Speed: 10.96 samples/sec Train-Accuracy=0.844286
2016-09-26 02:38:18,608 Epoch[6] Batch [12500] Speed: 11.05 samples/sec Train-Accuracy=0.812857
2016-09-26 02:38:54,840 Epoch[6] Batch [12550] Speed: 11.04 samples/sec Train-Accuracy=0.782857
2016-09-26 02:39:31,267 Epoch[6] Batch [12600] Speed: 10.98 samples/sec Train-Accuracy=0.840000
2016-09-26 02:40:07,650 Epoch[6] Batch [12650] Speed: 10.99 samples/sec Train-Accuracy=0.801429
2016-09-26 02:40:44,035 Epoch[6] Batch [12700] Speed: 10.99 samples/sec Train-Accuracy=0.820000
2016-09-26 02:41:20,599 Epoch[6] Batch [12750] Speed: 10.94 samples/sec Train-Accuracy=0.817143
2016-09-26 02:41:58,503 Epoch[6] Batch [12800] Speed: 10.55 samples/sec Train-Accuracy=0.827143
2016-09-26 02:42:36,470 Epoch[6] Batch [12850] Speed: 10.54 samples/sec Train-Accuracy=0.818571
2016-09-26 02:43:13,049 Epoch[6] Batch [12900] Speed: 10.94 samples/sec Train-Accuracy=0.781429
2016-09-26 02:43:49,437 Epoch[6] Batch [12950] Speed: 10.99 samples/sec Train-Accuracy=0.815714
2016-09-26 02:44:25,735 Epoch[6] Batch [13000] Speed: 11.02 samples/sec Train-Accuracy=0.822857
2016-09-26 02:45:02,184 Epoch[6] Batch [13050] Speed: 10.97 samples/sec Train-Accuracy=0.825714
2016-09-26 02:45:38,568 Epoch[6] Batch [13100] Speed: 10.99 samples/sec Train-Accuracy=0.800000
2016-09-26 02:46:14,903 Epoch[6] Batch [13150] Speed: 11.01 samples/sec Train-Accuracy=0.818571
2016-09-26 02:46:51,149 Epoch[6] Batch [13200] Speed: 11.04 samples/sec Train-Accuracy=0.812857
2016-09-26 02:47:27,394 Epoch[6] Batch [13250] Speed: 11.04 samples/sec Train-Accuracy=0.790000
2016-09-26 02:48:03,956 Epoch[6] Batch [13300] Speed: 10.94 samples/sec Train-Accuracy=0.805714
2016-09-26 02:48:41,636 Epoch[6] Batch [13350] Speed: 10.62 samples/sec Train-Accuracy=0.795714
2016-09-26 02:49:19,422 Epoch[6] Batch [13400] Speed: 10.59 samples/sec Train-Accuracy=0.794286
2016-09-26 02:49:56,073 Epoch[6] Batch [13450] Speed: 10.91 samples/sec Train-Accuracy=0.834286
2016-09-26 02:50:32,381 Epoch[6] Batch [13500] Speed: 11.02 samples/sec Train-Accuracy=0.825714
2016-09-26 02:51:08,759 Epoch[6] Batch [13550] Speed: 11.00 samples/sec Train-Accuracy=0.827143
2016-09-26 02:51:45,181 Epoch[6] Batch [13600] Speed: 10.98 samples/sec Train-Accuracy=0.825714
2016-09-26 02:52:21,558 Epoch[6] Batch [13650] Speed: 11.00 samples/sec Train-Accuracy=0.821429
2016-09-26 02:52:58,803 Epoch[6] Batch [13700] Speed: 10.74 samples/sec Train-Accuracy=0.815714
2016-09-26 02:53:39,525 Epoch[6] Batch [13750] Speed: 9.82 samples/sec Train-Accuracy=0.834286
2016-09-26 02:54:16,482 Epoch[6] Batch [13800] Speed: 10.82 samples/sec Train-Accuracy=0.811429
2016-09-26 02:54:53,130 Epoch[6] Batch [13850] Speed: 10.91 samples/sec Train-Accuracy=0.802857
2016-09-26 02:55:29,394 Epoch[6] Batch [13900] Speed: 11.03 samples/sec Train-Accuracy=0.824286
2016-09-26 02:56:05,716 Epoch[6] Batch [13950] Speed: 11.01 samples/sec Train-Accuracy=0.830000
2016-09-26 02:56:44,890 Epoch[6] Batch [14000] Speed: 10.21 samples/sec Train-Accuracy=0.794286
2016-09-26 02:57:23,873 Epoch[6] Batch [14050] Speed: 10.26 samples/sec Train-Accuracy=0.835714
2016-09-26 02:58:00,632 Epoch[6] Batch [14100] Speed: 10.88 samples/sec Train-Accuracy=0.808571
2016-09-26 02:58:37,298 Epoch[6] Batch [14150] Speed: 10.91 samples/sec Train-Accuracy=0.834286
2016-09-26 02:59:14,228 Epoch[6] Batch [14200] Speed: 10.83 samples/sec Train-Accuracy=0.821429
2016-09-26 02:59:50,939 Epoch[6] Batch [14250] Speed: 10.90 samples/sec Train-Accuracy=0.807143
2016-09-26 03:00:29,225 Epoch[6] Batch [14300] Speed: 10.45 samples/sec Train-Accuracy=0.805714
2016-09-26 03:01:08,668 Epoch[6] Batch [14350] Speed: 10.14 samples/sec Train-Accuracy=0.822857
2016-09-26 03:01:47,227 Epoch[6] Batch [14400] Speed: 10.37 samples/sec Train-Accuracy=0.797143
2016-09-26 03:02:25,948 Epoch[6] Batch [14450] Speed: 10.33 samples/sec Train-Accuracy=0.785714
2016-09-26 03:03:04,003 Epoch[6] Batch [14500] Speed: 10.51 samples/sec Train-Accuracy=0.842857
2016-09-26 03:03:41,762 Epoch[6] Batch [14550] Speed: 10.59 samples/sec Train-Accuracy=0.802857
2016-09-26 03:04:18,852 Epoch[6] Batch [14600] Speed: 10.78 samples/sec Train-Accuracy=0.800000
2016-09-26 03:04:55,453 Epoch[6] Batch [14650] Speed: 10.93 samples/sec Train-Accuracy=0.825714
2016-09-26 03:05:35,513 Epoch[6] Batch [14700] Speed: 9.99 samples/sec Train-Accuracy=0.827143
2016-09-26 03:06:14,355 Epoch[6] Batch [14750] Speed: 10.30 samples/sec Train-Accuracy=0.787143
2016-09-26 03:06:50,466 Epoch[6] Batch [14800] Speed: 11.08 samples/sec Train-Accuracy=0.822857
2016-09-26 03:07:26,536 Epoch[6] Batch [14850] Speed: 11.09 samples/sec Train-Accuracy=0.815714
2016-09-26 03:08:02,710 Epoch[6] Batch [14900] Speed: 11.06 samples/sec Train-Accuracy=0.820000
2016-09-26 03:08:38,991 Epoch[6] Batch [14950] Speed: 11.03 samples/sec Train-Accuracy=0.817143
2016-09-26 03:09:15,225 Epoch[6] Batch [15000] Speed: 11.04 samples/sec Train-Accuracy=0.811429
2016-09-26 03:09:51,595 Epoch[6] Batch [15050] Speed: 11.00 samples/sec Train-Accuracy=0.821429
2016-09-26 03:10:29,489 Epoch[6] Batch [15100] Speed: 10.56 samples/sec Train-Accuracy=0.851429
2016-09-26 03:11:12,627 Epoch[6] Batch [15150] Speed: 9.27 samples/sec Train-Accuracy=0.855714
2016-09-26 03:11:52,547 Epoch[6] Batch [15200] Speed: 10.02 samples/sec Train-Accuracy=0.801429
2016-09-26 03:12:29,070 Epoch[6] Batch [15250] Speed: 10.95 samples/sec Train-Accuracy=0.811429
2016-09-26 03:13:05,256 Epoch[6] Batch [15300] Speed: 11.05 samples/sec Train-Accuracy=0.794286
2016-09-26 03:13:41,854 Epoch[6] Batch [15350] Speed: 10.93 samples/sec Train-Accuracy=0.817143
2016-09-26 03:14:24,322 Epoch[6] Batch [15400] Speed: 9.42 samples/sec Train-Accuracy=0.827143
2016-09-26 03:15:07,133 Epoch[6] Batch [15450] Speed: 9.34 samples/sec Train-Accuracy=0.810000
2016-09-26 03:15:49,432 Epoch[6] Batch [15500] Speed: 9.46 samples/sec Train-Accuracy=0.794286
2016-09-26 03:16:32,160 Epoch[6] Batch [15550] Speed: 9.36 samples/sec Train-Accuracy=0.840000
2016-09-26 03:17:13,467 Epoch[6] Batch [15600] Speed: 9.68 samples/sec Train-Accuracy=0.807143
2016-09-26 03:17:54,582 Epoch[6] Batch [15650] Speed: 9.73 samples/sec Train-Accuracy=0.842857
2016-09-26 03:18:31,702 Epoch[6] Batch [15700] Speed: 10.78 samples/sec Train-Accuracy=0.821429
2016-09-26 03:19:07,771 Epoch[6] Batch [15750] Speed: 11.09 samples/sec Train-Accuracy=0.802857
2016-09-26 03:19:43,793 Epoch[6] Batch [15800] Speed: 11.10 samples/sec Train-Accuracy=0.830000
2016-09-26 03:20:19,818 Epoch[6] Batch [15850] Speed: 11.10 samples/sec Train-Accuracy=0.798571
2016-09-26 03:20:55,910 Epoch[6] Batch [15900] Speed: 11.08 samples/sec Train-Accuracy=0.802857
2016-09-26 03:21:32,039 Epoch[6] Batch [15950] Speed: 11.07 samples/sec Train-Accuracy=0.848571
2016-09-26 03:22:09,150 Epoch[6] Batch [16000] Speed: 10.78 samples/sec Train-Accuracy=0.831429
2016-09-26 03:22:47,845 Epoch[6] Batch [16050] Speed: 10.34 samples/sec Train-Accuracy=0.795714
2016-09-26 03:23:24,255 Epoch[6] Batch [16100] Speed: 10.99 samples/sec Train-Accuracy=0.830000
2016-09-26 03:24:00,788 Epoch[6] Batch [16150] Speed: 10.95 samples/sec Train-Accuracy=0.788571
2016-09-26 03:24:38,353 Epoch[6] Batch [16200] Speed: 10.65 samples/sec Train-Accuracy=0.794286
2016-09-26 03:25:15,902 Epoch[6] Batch [16250] Speed: 10.65 samples/sec Train-Accuracy=0.827143
2016-09-26 03:25:56,147 Epoch[6] Batch [16300] Speed: 9.94 samples/sec Train-Accuracy=0.815714
2016-09-26 03:26:37,650 Epoch[6] Batch [16350] Speed: 9.64 samples/sec Train-Accuracy=0.815714
2016-09-26 03:27:18,224 Epoch[6] Batch [16400] Speed: 9.86 samples/sec Train-Accuracy=0.848571
2016-09-26 03:27:56,734 Epoch[6] Batch [16450] Speed: 10.39 samples/sec Train-Accuracy=0.794286
2016-09-26 03:28:35,899 Epoch[6] Batch [16500] Speed: 10.21 samples/sec Train-Accuracy=0.804286
2016-09-26 03:29:14,567 Epoch[6] Batch [16550] Speed: 10.34 samples/sec Train-Accuracy=0.824286
2016-09-26 03:29:53,080 Epoch[6] Batch [16600] Speed: 10.39 samples/sec Train-Accuracy=0.827143
2016-09-26 03:30:31,569 Epoch[6] Batch [16650] Speed: 10.39 samples/sec Train-Accuracy=0.824286
2016-09-26 03:31:09,963 Epoch[6] Batch [16700] Speed: 10.42 samples/sec Train-Accuracy=0.808571
2016-09-26 03:31:48,388 Epoch[6] Batch [16750] Speed: 10.41 samples/sec Train-Accuracy=0.825714
2016-09-26 03:32:27,397 Epoch[6] Batch [16800] Speed: 10.25 samples/sec Train-Accuracy=0.831429
2016-09-26 03:33:05,220 Epoch[6] Batch [16850] Speed: 10.58 samples/sec Train-Accuracy=0.838571
2016-09-26 03:33:41,460 Epoch[6] Batch [16900] Speed: 11.04 samples/sec Train-Accuracy=0.787143
2016-09-26 03:34:17,638 Epoch[6] Batch [16950] Speed: 11.06 samples/sec Train-Accuracy=0.844286
2016-09-26 03:34:55,398 Epoch[6] Batch [17000] Speed: 10.59 samples/sec Train-Accuracy=0.811429
2016-09-26 03:35:31,817 Epoch[6] Batch [17050] Speed: 10.98 samples/sec Train-Accuracy=0.781429
2016-09-26 03:36:09,034 Epoch[6] Batch [17100] Speed: 10.75 samples/sec Train-Accuracy=0.855714
2016-09-26 03:36:46,359 Epoch[6] Batch [17150] Speed: 10.72 samples/sec Train-Accuracy=0.822857
2016-09-26 03:37:23,934 Epoch[6] Batch [17200] Speed: 10.65 samples/sec Train-Accuracy=0.792857
2016-09-26 03:38:00,971 Epoch[6] Batch [17250] Speed: 10.80 samples/sec Train-Accuracy=0.814286
2016-09-26 03:38:38,355 Epoch[6] Batch [17300] Speed: 10.70 samples/sec Train-Accuracy=0.807143
2016-09-26 03:39:15,725 Epoch[6] Batch [17350] Speed: 10.70 samples/sec Train-Accuracy=0.811429
2016-09-26 03:39:54,754 Epoch[6] Batch [17400] Speed: 10.25 samples/sec Train-Accuracy=0.814286
2016-09-26 03:40:30,817 Epoch[6] Batch [17450] Speed: 11.09 samples/sec Train-Accuracy=0.808571
2016-09-26 03:41:07,377 Epoch[6] Batch [17500] Speed: 10.94 samples/sec Train-Accuracy=0.767143
2016-09-26 03:41:44,249 Epoch[6] Batch [17550] Speed: 10.85 samples/sec Train-Accuracy=0.808571
2016-09-26 03:42:20,455 Epoch[6] Batch [17600] Speed: 11.05 samples/sec Train-Accuracy=0.830000
2016-09-26 03:42:59,342 Epoch[6] Batch [17650] Speed: 10.29 samples/sec Train-Accuracy=0.800000
2016-09-26 03:43:40,460 Epoch[6] Batch [17700] Speed: 9.73 samples/sec Train-Accuracy=0.817143
2016-09-26 03:44:22,036 Epoch[6] Batch [17750] Speed: 9.62 samples/sec Train-Accuracy=0.838571
2016-09-26 03:45:01,568 Epoch[6] Batch [17800] Speed: 10.12 samples/sec Train-Accuracy=0.808571
2016-09-26 03:45:41,229 Epoch[6] Batch [17850] Speed: 10.09 samples/sec Train-Accuracy=0.811429
2016-09-26 03:46:21,175 Epoch[6] Batch [17900] Speed: 10.01 samples/sec Train-Accuracy=0.815714
2016-09-26 03:47:01,893 Epoch[6] Batch [17950] Speed: 9.82 samples/sec Train-Accuracy=0.820000
2016-09-26 03:47:40,813 Epoch[6] Batch [18000] Speed: 10.28 samples/sec Train-Accuracy=0.787143
2016-09-26 03:48:17,082 Epoch[6] Batch [18050] Speed: 11.03 samples/sec Train-Accuracy=0.850000
2016-09-26 03:48:53,368 Epoch[6] Batch [18100] Speed: 11.02 samples/sec Train-Accuracy=0.795714
2016-09-26 03:49:29,405 Epoch[6] Batch [18150] Speed: 11.10 samples/sec Train-Accuracy=0.818571
2016-09-26 03:50:05,466 Epoch[6] Batch [18200] Speed: 11.09 samples/sec Train-Accuracy=0.812857
2016-09-26 03:50:41,435 Epoch[6] Batch [18250] Speed: 11.12 samples/sec Train-Accuracy=0.815714
2016-09-26 03:51:17,530 Epoch[6] Batch [18300] Speed: 11.08 samples/sec Train-Accuracy=0.784286
2016-09-26 03:51:53,613 Epoch[6] Batch [18350] Speed: 11.09 samples/sec Train-Accuracy=0.844286
2016-09-26 03:52:31,603 Epoch[6] Batch [18400] Speed: 10.53 samples/sec Train-Accuracy=0.822857
2016-09-26 03:53:10,991 Epoch[6] Batch [18450] Speed: 10.16 samples/sec Train-Accuracy=0.851429
2016-09-26 03:53:50,448 Epoch[6] Batch [18500] Speed: 10.14 samples/sec Train-Accuracy=0.821429
2016-09-26 03:54:30,031 Epoch[6] Batch [18550] Speed: 10.11 samples/sec Train-Accuracy=0.838571
2016-09-26 03:55:06,897 Epoch[6] Batch [18600] Speed: 10.85 samples/sec Train-Accuracy=0.834286
2016-09-26 03:55:43,038 Epoch[6] Batch [18650] Speed: 11.07 samples/sec Train-Accuracy=0.810000
2016-09-26 03:56:19,339 Epoch[6] Batch [18700] Speed: 11.02 samples/sec Train-Accuracy=0.810000
2016-09-26 03:56:55,774 Epoch[6] Batch [18750] Speed: 10.98 samples/sec Train-Accuracy=0.844286
2016-09-26 03:57:33,395 Epoch[6] Batch [18800] Speed: 10.63 samples/sec Train-Accuracy=0.815714
2016-09-26 03:58:11,135 Epoch[6] Batch [18850] Speed: 10.60 samples/sec Train-Accuracy=0.781429
2016-09-26 03:58:48,900 Epoch[6] Batch [18900] Speed: 10.59 samples/sec Train-Accuracy=0.815714
2016-09-26 03:59:26,620 Epoch[6] Batch [18950] Speed: 10.60 samples/sec Train-Accuracy=0.825714
2016-09-26 04:00:03,698 Epoch[6] Batch [19000] Speed: 10.79 samples/sec Train-Accuracy=0.832857
2016-09-26 04:00:40,907 Epoch[6] Batch [19050] Speed: 10.75 samples/sec Train-Accuracy=0.834286
2016-09-26 04:01:18,200 Epoch[6] Batch [19100] Speed: 10.73 samples/sec Train-Accuracy=0.837143
2016-09-26 04:01:58,671 Epoch[6] Batch [19150] Speed: 9.88 samples/sec Train-Accuracy=0.802857
2016-09-26 04:02:35,640 Epoch[6] Batch [19200] Speed: 10.82 samples/sec Train-Accuracy=0.818571
2016-09-26 04:03:11,710 Epoch[6] Batch [19250] Speed: 11.09 samples/sec Train-Accuracy=0.804286
2016-09-26 04:03:47,735 Epoch[6] Batch [19300] Speed: 11.10 samples/sec Train-Accuracy=0.795714
2016-09-26 04:04:23,748 Epoch[6] Batch [19350] Speed: 11.11 samples/sec Train-Accuracy=0.842857
2016-09-26 04:04:59,766 Epoch[6] Batch [19400] Speed: 11.11 samples/sec Train-Accuracy=0.795714
2016-09-26 04:05:35,813 Epoch[6] Batch [19450] Speed: 11.10 samples/sec Train-Accuracy=0.825714
2016-09-26 04:06:11,973 Epoch[6] Batch [19500] Speed: 11.06 samples/sec Train-Accuracy=0.821429
2016-09-26 04:06:48,252 Epoch[6] Batch [19550] Speed: 11.03 samples/sec Train-Accuracy=0.800000
2016-09-26 04:07:24,377 Epoch[6] Batch [19600] Speed: 11.07 samples/sec Train-Accuracy=0.794286
2016-09-26 04:08:00,468 Epoch[6] Batch [19650] Speed: 11.08 samples/sec Train-Accuracy=0.811429
2016-09-26 04:08:36,704 Epoch[6] Batch [19700] Speed: 11.04 samples/sec Train-Accuracy=0.805714
2016-09-26 04:09:12,921 Epoch[6] Batch [19750] Speed: 11.04 samples/sec Train-Accuracy=0.814286
2016-09-26 04:09:49,129 Epoch[6] Batch [19800] Speed: 11.05 samples/sec Train-Accuracy=0.804286
2016-09-26 04:10:25,832 Epoch[6] Batch [19850] Speed: 10.90 samples/sec Train-Accuracy=0.828571
2016-09-26 04:11:02,524 Epoch[6] Batch [19900] Speed: 10.90 samples/sec Train-Accuracy=0.805714
2016-09-26 04:11:39,086 Epoch[6] Batch [19950] Speed: 10.94 samples/sec Train-Accuracy=0.824286
2016-09-26 04:12:15,147 Epoch[6] Batch [20000] Speed: 11.09 samples/sec Train-Accuracy=0.807143
2016-09-26 04:12:51,252 Epoch[6] Batch [20050] Speed: 11.08 samples/sec Train-Accuracy=0.834286
2016-09-26 04:13:27,407 Epoch[6] Batch [20100] Speed: 11.06 samples/sec Train-Accuracy=0.775714
2016-09-26 04:14:03,586 Epoch[6] Batch [20150] Speed: 11.06 samples/sec Train-Accuracy=0.848571
2016-09-26 04:14:39,780 Epoch[6] Batch [20200] Speed: 11.05 samples/sec Train-Accuracy=0.837143
2016-09-26 04:15:15,905 Epoch[6] Batch [20250] Speed: 11.07 samples/sec Train-Accuracy=0.815714
2016-09-26 04:15:54,208 Epoch[6] Batch [20300] Speed: 10.44 samples/sec Train-Accuracy=0.800000
2016-09-26 04:16:31,654 Epoch[6] Batch [20350] Speed: 10.68 samples/sec Train-Accuracy=0.817143
2016-09-26 04:17:08,384 Epoch[6] Batch [20400] Speed: 10.89 samples/sec Train-Accuracy=0.801429
2016-09-26 04:17:45,876 Epoch[6] Batch [20450] Speed: 10.67 samples/sec Train-Accuracy=0.815714
2016-09-26 04:18:23,464 Epoch[6] Batch [20500] Speed: 10.64 samples/sec Train-Accuracy=0.814286
2016-09-26 04:19:01,315 Epoch[6] Batch [20550] Speed: 10.57 samples/sec Train-Accuracy=0.821429
2016-09-26 04:19:38,568 Epoch[6] Batch [20600] Speed: 10.74 samples/sec Train-Accuracy=0.810000
2016-09-26 04:20:15,069 Epoch[6] Batch [20650] Speed: 10.96 samples/sec Train-Accuracy=0.782857
2016-09-26 04:20:52,296 Epoch[6] Batch [20700] Speed: 10.74 samples/sec Train-Accuracy=0.800000
2016-09-26 04:21:30,758 Epoch[6] Batch [20750] Speed: 10.40 samples/sec Train-Accuracy=0.810000
2016-09-26 04:22:08,695 Epoch[6] Batch [20800] Speed: 10.54 samples/sec Train-Accuracy=0.788571
2016-09-26 04:22:46,222 Epoch[6] Batch [20850] Speed: 10.66 samples/sec Train-Accuracy=0.840000
2016-09-26 04:23:23,079 Epoch[6] Batch [20900] Speed: 10.85 samples/sec Train-Accuracy=0.827143
2016-09-26 04:24:01,320 Epoch[6] Batch [20950] Speed: 10.46 samples/sec Train-Accuracy=0.798571
2016-09-26 04:24:42,322 Epoch[6] Batch [21000] Speed: 9.76 samples/sec Train-Accuracy=0.830000
2016-09-26 04:25:22,964 Epoch[6] Batch [21050] Speed: 9.84 samples/sec Train-Accuracy=0.818571
2016-09-26 04:26:03,181 Epoch[6] Batch [21100] Speed: 9.95 samples/sec Train-Accuracy=0.777143
2016-09-26 04:26:42,772 Epoch[6] Batch [21150] Speed: 10.10 samples/sec Train-Accuracy=0.828571
2016-09-26 04:27:21,032 Epoch[6] Batch [21200] Speed: 10.45 samples/sec Train-Accuracy=0.811429
2016-09-26 04:27:58,846 Epoch[6] Batch [21250] Speed: 10.58 samples/sec Train-Accuracy=0.827143
2016-09-26 04:28:36,809 Epoch[6] Batch [21300] Speed: 10.54 samples/sec Train-Accuracy=0.832857
2016-09-26 04:29:15,043 Epoch[6] Batch [21350] Speed: 10.46 samples/sec Train-Accuracy=0.791429
2016-09-26 04:29:52,788 Epoch[6] Batch [21400] Speed: 10.60 samples/sec Train-Accuracy=0.781429
2016-09-26 04:30:30,756 Epoch[6] Batch [21450] Speed: 10.54 samples/sec Train-Accuracy=0.824286
2016-09-26 04:31:08,915 Epoch[6] Batch [21500] Speed: 10.48 samples/sec Train-Accuracy=0.824286
2016-09-26 04:31:48,102 Epoch[6] Batch [21550] Speed: 10.21 samples/sec Train-Accuracy=0.817143
2016-09-26 04:32:26,828 Epoch[6] Batch [21600] Speed: 10.33 samples/sec Train-Accuracy=0.827143
2016-09-26 04:33:05,741 Epoch[6] Batch [21650] Speed: 10.28 samples/sec Train-Accuracy=0.832857
2016-09-26 04:33:44,109 Epoch[6] Batch [21700] Speed: 10.43 samples/sec Train-Accuracy=0.837143
2016-09-26 04:34:22,989 Epoch[6] Batch [21750] Speed: 10.29 samples/sec Train-Accuracy=0.807143
2016-09-26 04:35:02,538 Epoch[6] Batch [21800] Speed: 10.11 samples/sec Train-Accuracy=0.838571
2016-09-26 04:35:44,232 Epoch[6] Batch [21850] Speed: 9.59 samples/sec Train-Accuracy=0.808571
2016-09-26 04:36:22,941 Epoch[6] Batch [21900] Speed: 10.33 samples/sec Train-Accuracy=0.782857
2016-09-26 04:37:01,127 Epoch[6] Batch [21950] Speed: 10.48 samples/sec Train-Accuracy=0.811429
2016-09-26 04:37:40,066 Epoch[6] Batch [22000] Speed: 10.27 samples/sec Train-Accuracy=0.817143
2016-09-26 04:38:19,659 Epoch[6] Batch [22050] Speed: 10.10 samples/sec Train-Accuracy=0.844286
2016-09-26 04:38:58,630 Epoch[6] Batch [22100] Speed: 10.26 samples/sec Train-Accuracy=0.792857
2016-09-26 04:39:36,746 Epoch[6] Batch [22150] Speed: 10.49 samples/sec Train-Accuracy=0.784286
2016-09-26 04:40:14,224 Epoch[6] Batch [22200] Speed: 10.67 samples/sec Train-Accuracy=0.784286
2016-09-26 04:40:52,172 Epoch[6] Batch [22250] Speed: 10.54 samples/sec Train-Accuracy=0.812857
2016-09-26 04:41:31,624 Epoch[6] Batch [22300] Speed: 10.14 samples/sec Train-Accuracy=0.818571
2016-09-26 04:42:11,073 Epoch[6] Batch [22350] Speed: 10.14 samples/sec Train-Accuracy=0.815714
2016-09-26 04:42:48,858 Epoch[6] Batch [22400] Speed: 10.59 samples/sec Train-Accuracy=0.810000
2016-09-26 04:43:26,407 Epoch[6] Batch [22450] Speed: 10.65 samples/sec Train-Accuracy=0.820000
2016-09-26 04:44:05,435 Epoch[6] Batch [22500] Speed: 10.25 samples/sec Train-Accuracy=0.827143
2016-09-26 04:44:43,966 Epoch[6] Batch [22550] Speed: 10.38 samples/sec Train-Accuracy=0.820000
2016-09-26 04:45:21,306 Epoch[6] Batch [22600] Speed: 10.71 samples/sec Train-Accuracy=0.802857
2016-09-26 04:45:58,500 Epoch[6] Batch [22650] Speed: 10.75 samples/sec Train-Accuracy=0.801429
2016-09-26 04:46:35,791 Epoch[6] Batch [22700] Speed: 10.73 samples/sec Train-Accuracy=0.832857
2016-09-26 04:47:13,138 Epoch[6] Batch [22750] Speed: 10.71 samples/sec Train-Accuracy=0.812857
2016-09-26 04:47:50,563 Epoch[6] Batch [22800] Speed: 10.69 samples/sec Train-Accuracy=0.835714
2016-09-26 04:48:28,760 Epoch[6] Batch [22850] Speed: 10.47 samples/sec Train-Accuracy=0.788571
2016-09-26 04:49:09,124 Epoch[6] Batch [22900] Speed: 9.91 samples/sec Train-Accuracy=0.800000
2016-09-26 04:49:47,657 Epoch[6] Batch [22950] Speed: 10.38 samples/sec Train-Accuracy=0.801429
2016-09-26 04:50:27,752 Epoch[6] Batch [23000] Speed: 9.98 samples/sec Train-Accuracy=0.814286
2016-09-26 04:51:09,383 Epoch[6] Batch [23050] Speed: 9.61 samples/sec Train-Accuracy=0.824286
2016-09-26 04:51:49,946 Epoch[6] Batch [23100] Speed: 9.86 samples/sec Train-Accuracy=0.844286
2016-09-26 04:52:31,384 Epoch[6] Batch [23150] Speed: 9.65 samples/sec Train-Accuracy=0.824286
2016-09-26 04:53:12,547 Epoch[6] Batch [23200] Speed: 9.72 samples/sec Train-Accuracy=0.818571
2016-09-26 04:53:52,758 Epoch[6] Batch [23250] Speed: 9.95 samples/sec Train-Accuracy=0.860000
2016-09-26 04:54:32,676 Epoch[6] Batch [23300] Speed: 10.02 samples/sec Train-Accuracy=0.841429
2016-09-26 04:55:12,162 Epoch[6] Batch [23350] Speed: 10.13 samples/sec Train-Accuracy=0.834286
2016-09-26 04:55:50,259 Epoch[6] Batch [23400] Speed: 10.50 samples/sec Train-Accuracy=0.835714
2016-09-26 04:56:27,173 Epoch[6] Batch [23450] Speed: 10.84 samples/sec Train-Accuracy=0.825714
2016-09-26 04:57:04,168 Epoch[6] Batch [23500] Speed: 10.81 samples/sec Train-Accuracy=0.855714
2016-09-26 04:57:41,194 Epoch[6] Batch [23550] Speed: 10.80 samples/sec Train-Accuracy=0.831429
2016-09-26 04:58:18,345 Epoch[6] Batch [23600] Speed: 10.77 samples/sec Train-Accuracy=0.838571
2016-09-26 04:58:55,564 Epoch[6] Batch [23650] Speed: 10.75 samples/sec Train-Accuracy=0.782857
2016-09-26 04:59:32,537 Epoch[6] Batch [23700] Speed: 10.82 samples/sec Train-Accuracy=0.798571
2016-09-26 05:00:09,015 Epoch[6] Batch [23750] Speed: 10.97 samples/sec Train-Accuracy=0.831429
2016-09-26 05:00:45,417 Epoch[6] Batch [23800] Speed: 10.99 samples/sec Train-Accuracy=0.834286
2016-09-26 05:01:22,059 Epoch[6] Batch [23850] Speed: 10.92 samples/sec Train-Accuracy=0.821429
2016-09-26 05:01:58,898 Epoch[6] Batch [23900] Speed: 10.86 samples/sec Train-Accuracy=0.815714
2016-09-26 05:02:35,801 Epoch[6] Batch [23950] Speed: 10.84 samples/sec Train-Accuracy=0.772857
2016-09-26 05:03:12,686 Epoch[6] Batch [24000] Speed: 10.84 samples/sec Train-Accuracy=0.827143
2016-09-26 05:03:49,675 Epoch[6] Batch [24050] Speed: 10.81 samples/sec Train-Accuracy=0.800000
2016-09-26 05:04:26,315 Epoch[6] Batch [24100] Speed: 10.92 samples/sec Train-Accuracy=0.794286
2016-09-26 05:05:02,888 Epoch[6] Batch [24150] Speed: 10.94 samples/sec Train-Accuracy=0.820000
2016-09-26 05:05:39,675 Epoch[6] Batch [24200] Speed: 10.87 samples/sec Train-Accuracy=0.828571
2016-09-26 05:06:17,015 Epoch[6] Batch [24250] Speed: 10.71 samples/sec Train-Accuracy=0.805714
2016-09-26 05:06:56,976 Epoch[6] Batch [24300] Speed: 10.01 samples/sec Train-Accuracy=0.817143
2016-09-26 05:07:38,094 Epoch[6] Batch [24350] Speed: 9.73 samples/sec Train-Accuracy=0.825714
2016-09-26 05:08:16,471 Epoch[6] Batch [24400] Speed: 10.42 samples/sec Train-Accuracy=0.820000
2016-09-26 05:08:53,606 Epoch[6] Batch [24450] Speed: 10.77 samples/sec Train-Accuracy=0.811429
2016-09-26 05:09:30,626 Epoch[6] Batch [24500] Speed: 10.81 samples/sec Train-Accuracy=0.847143
2016-09-26 05:10:07,555 Epoch[6] Batch [24550] Speed: 10.83 samples/sec Train-Accuracy=0.810000
2016-09-26 05:10:44,623 Epoch[6] Batch [24600] Speed: 10.79 samples/sec Train-Accuracy=0.824286
2016-09-26 05:11:21,405 Epoch[6] Batch [24650] Speed: 10.87 samples/sec Train-Accuracy=0.835714
2016-09-26 05:11:58,230 Epoch[6] Batch [24700] Speed: 10.86 samples/sec Train-Accuracy=0.815714
2016-09-26 05:12:35,136 Epoch[6] Batch [24750] Speed: 10.84 samples/sec Train-Accuracy=0.784286
2016-09-26 05:13:11,777 Epoch[6] Batch [24800] Speed: 10.92 samples/sec Train-Accuracy=0.805714
2016-09-26 05:13:50,159 Epoch[6] Batch [24850] Speed: 10.42 samples/sec Train-Accuracy=0.792857
2016-09-26 05:14:30,942 Epoch[6] Batch [24900] Speed: 9.81 samples/sec Train-Accuracy=0.811429
2016-09-26 05:15:10,208 Epoch[6] Batch [24950] Speed: 10.19 samples/sec Train-Accuracy=0.815714
2016-09-26 05:15:49,954 Epoch[6] Batch [25000] Speed: 10.06 samples/sec Train-Accuracy=0.845714
2016-09-26 05:16:29,602 Epoch[6] Batch [25050] Speed: 10.09 samples/sec Train-Accuracy=0.815714
2016-09-26 05:17:09,189 Epoch[6] Batch [25100] Speed: 10.10 samples/sec Train-Accuracy=0.787143
2016-09-26 05:17:47,109 Epoch[6] Batch [25150] Speed: 10.55 samples/sec Train-Accuracy=0.805714
2016-09-26 05:18:26,215 Epoch[6] Batch [25200] Speed: 10.23 samples/sec Train-Accuracy=0.842857
2016-09-26 05:19:02,993 Epoch[6] Batch [25250] Speed: 10.88 samples/sec Train-Accuracy=0.825714
2016-09-26 05:19:39,827 Epoch[6] Batch [25300] Speed: 10.86 samples/sec Train-Accuracy=0.842857
2016-09-26 05:20:17,474 Epoch[6] Batch [25350] Speed: 10.63 samples/sec Train-Accuracy=0.814286
2016-09-26 05:20:55,140 Epoch[6] Batch [25400] Speed: 10.62 samples/sec Train-Accuracy=0.810000
2016-09-26 05:21:34,220 Epoch[6] Batch [25450] Speed: 10.24 samples/sec Train-Accuracy=0.821429
2016-09-26 05:22:13,037 Epoch[6] Batch [25500] Speed: 10.30 samples/sec Train-Accuracy=0.788571
2016-09-26 05:22:49,920 Epoch[6] Batch [25550] Speed: 10.85 samples/sec Train-Accuracy=0.800000
2016-09-26 05:23:26,899 Epoch[6] Batch [25600] Speed: 10.82 samples/sec Train-Accuracy=0.841429
2016-09-26 05:24:04,021 Epoch[6] Batch [25650] Speed: 10.78 samples/sec Train-Accuracy=0.817143
2016-09-26 05:24:40,671 Epoch[6] Batch [25700] Speed: 10.91 samples/sec Train-Accuracy=0.814286
2016-09-26 05:25:17,354 Epoch[6] Batch [25750] Speed: 10.90 samples/sec Train-Accuracy=0.822857
2016-09-26 05:25:54,120 Epoch[6] Batch [25800] Speed: 10.88 samples/sec Train-Accuracy=0.842857
2016-09-26 05:26:31,072 Epoch[6] Batch [25850] Speed: 10.82 samples/sec Train-Accuracy=0.821429
2016-09-26 05:27:08,492 Epoch[6] Batch [25900] Speed: 10.69 samples/sec Train-Accuracy=0.778571
2016-09-26 05:27:50,050 Epoch[6] Batch [25950] Speed: 9.63 samples/sec Train-Accuracy=0.802857
2016-09-26 05:28:26,885 Epoch[6] Batch [26000] Speed: 10.86 samples/sec Train-Accuracy=0.841429
2016-09-26 05:29:03,443 Epoch[6] Batch [26050] Speed: 10.94 samples/sec Train-Accuracy=0.811429
2016-09-26 05:29:39,777 Epoch[6] Batch [26100] Speed: 11.01 samples/sec Train-Accuracy=0.821429
2016-09-26 05:30:16,170 Epoch[6] Batch [26150] Speed: 10.99 samples/sec Train-Accuracy=0.832857
2016-09-26 05:30:52,849 Epoch[6] Batch [26200] Speed: 10.91 samples/sec Train-Accuracy=0.822857
2016-09-26 05:31:29,207 Epoch[6] Batch [26250] Speed: 11.00 samples/sec Train-Accuracy=0.835714
2016-09-26 05:32:06,182 Epoch[6] Batch [26300] Speed: 10.82 samples/sec Train-Accuracy=0.821429
2016-09-26 05:32:42,739 Epoch[6] Batch [26350] Speed: 10.94 samples/sec Train-Accuracy=0.830000
2016-09-26 05:33:22,215 Epoch[6] Batch [26400] Speed: 10.13 samples/sec Train-Accuracy=0.824286
2016-09-26 05:34:01,125 Epoch[6] Batch [26450] Speed: 10.28 samples/sec Train-Accuracy=0.835714
2016-09-26 05:34:40,207 Epoch[6] Batch [26500] Speed: 10.24 samples/sec Train-Accuracy=0.817143
2016-09-26 05:35:20,548 Epoch[6] Batch [26550] Speed: 9.92 samples/sec Train-Accuracy=0.801429
2016-09-26 05:36:00,648 Epoch[6] Batch [26600] Speed: 9.98 samples/sec Train-Accuracy=0.857143
2016-09-26 05:36:37,449 Epoch[6] Batch [26650] Speed: 10.87 samples/sec Train-Accuracy=0.844286
2016-09-26 05:37:13,925 Epoch[6] Batch [26700] Speed: 10.97 samples/sec Train-Accuracy=0.807143
2016-09-26 05:37:50,949 Epoch[6] Batch [26750] Speed: 10.80 samples/sec Train-Accuracy=0.835714
2016-09-26 05:38:27,460 Epoch[6] Batch [26800] Speed: 10.96 samples/sec Train-Accuracy=0.814286
2016-09-26 05:39:03,992 Epoch[6] Batch [26850] Speed: 10.95 samples/sec Train-Accuracy=0.825714
2016-09-26 05:39:40,544 Epoch[6] Batch [26900] Speed: 10.94 samples/sec Train-Accuracy=0.812857
2016-09-26 05:40:17,151 Epoch[6] Batch [26950] Speed: 10.93 samples/sec Train-Accuracy=0.845714
2016-09-26 05:40:53,600 Epoch[6] Batch [27000] Speed: 10.97 samples/sec Train-Accuracy=0.837143
2016-09-26 05:41:33,643 Epoch[6] Batch [27050] Speed: 9.99 samples/sec Train-Accuracy=0.840000
2016-09-26 05:42:13,820 Epoch[6] Batch [27100] Speed: 9.96 samples/sec Train-Accuracy=0.830000
2016-09-26 05:42:53,073 Epoch[6] Batch [27150] Speed: 10.19 samples/sec Train-Accuracy=0.832857
2016-09-26 05:43:33,895 Epoch[6] Batch [27200] Speed: 9.80 samples/sec Train-Accuracy=0.827143
2016-09-26 05:44:13,115 Epoch[6] Batch [27250] Speed: 10.20 samples/sec Train-Accuracy=0.807143
2016-09-26 05:44:49,482 Epoch[6] Batch [27300] Speed: 11.00 samples/sec Train-Accuracy=0.802857
2016-09-26 05:45:26,734 Epoch[6] Batch [27350] Speed: 10.74 samples/sec Train-Accuracy=0.801429
2016-09-26 05:46:08,573 Epoch[6] Batch [27400] Speed: 9.56 samples/sec Train-Accuracy=0.857143
2016-09-26 05:46:49,957 Epoch[6] Batch [27450] Speed: 9.67 samples/sec Train-Accuracy=0.795714
2016-09-26 05:47:30,045 Epoch[6] Batch [27500] Speed: 9.98 samples/sec Train-Accuracy=0.808571
2016-09-26 05:48:09,292 Epoch[6] Batch [27550] Speed: 10.19 samples/sec Train-Accuracy=0.810000
2016-09-26 05:48:46,100 Epoch[6] Batch [27600] Speed: 10.87 samples/sec Train-Accuracy=0.795714
2016-09-26 05:49:22,645 Epoch[6] Batch [27650] Speed: 10.95 samples/sec Train-Accuracy=0.791429
2016-09-26 05:49:58,991 Epoch[6] Batch [27700] Speed: 11.01 samples/sec Train-Accuracy=0.810000
2016-09-26 05:50:35,363 Epoch[6] Batch [27750] Speed: 11.00 samples/sec Train-Accuracy=0.830000
2016-09-26 05:51:12,554 Epoch[6] Batch [27800] Speed: 10.76 samples/sec Train-Accuracy=0.804286
2016-09-26 05:51:51,972 Epoch[6] Batch [27850] Speed: 10.15 samples/sec Train-Accuracy=0.794286
2016-09-26 05:52:28,189 Epoch[6] Batch [27900] Speed: 11.04 samples/sec Train-Accuracy=0.837143
2016-09-26 05:53:04,438 Epoch[6] Batch [27950] Speed: 11.03 samples/sec Train-Accuracy=0.804286
2016-09-26 05:53:40,634 Epoch[6] Batch [28000] Speed: 11.05 samples/sec Train-Accuracy=0.830000
2016-09-26 05:54:17,122 Epoch[6] Batch [28050] Speed: 10.96 samples/sec Train-Accuracy=0.794286
2016-09-26 05:54:55,627 Epoch[6] Batch [28100] Speed: 10.39 samples/sec Train-Accuracy=0.814286
2016-09-26 05:55:34,202 Epoch[6] Batch [28150] Speed: 10.37 samples/sec Train-Accuracy=0.845714
2016-09-26 05:56:12,291 Epoch[6] Batch [28200] Speed: 10.50 samples/sec Train-Accuracy=0.814286
2016-09-26 05:56:50,509 Epoch[6] Batch [28250] Speed: 10.47 samples/sec Train-Accuracy=0.832857
2016-09-26 05:57:29,393 Epoch[6] Batch [28300] Speed: 10.29 samples/sec Train-Accuracy=0.812857
2016-09-26 05:58:08,551 Epoch[6] Batch [28350] Speed: 10.22 samples/sec Train-Accuracy=0.801429
2016-09-26 05:58:46,323 Epoch[6] Batch [28400] Speed: 10.59 samples/sec Train-Accuracy=0.802857
2016-09-26 05:59:24,562 Epoch[6] Batch [28450] Speed: 10.46 samples/sec Train-Accuracy=0.791429
2016-09-26 06:00:02,702 Epoch[6] Batch [28500] Speed: 10.49 samples/sec Train-Accuracy=0.821429
2016-09-26 06:00:40,834 Epoch[6] Batch [28550] Speed: 10.49 samples/sec Train-Accuracy=0.842857
2016-09-26 06:01:18,905 Epoch[6] Batch [28600] Speed: 10.51 samples/sec Train-Accuracy=0.851429
2016-09-26 06:01:57,603 Epoch[6] Batch [28650] Speed: 10.34 samples/sec Train-Accuracy=0.788571
2016-09-26 06:02:36,112 Epoch[6] Batch [28700] Speed: 10.39 samples/sec Train-Accuracy=0.838571
2016-09-26 06:03:14,442 Epoch[6] Batch [28750] Speed: 10.44 samples/sec Train-Accuracy=0.805714
2016-09-26 06:03:53,823 Epoch[6] Batch [28800] Speed: 10.16 samples/sec Train-Accuracy=0.794286
2016-09-26 06:04:31,620 Epoch[6] Batch [28850] Speed: 10.58 samples/sec Train-Accuracy=0.811429
2016-09-26 06:05:09,488 Epoch[6] Batch [28900] Speed: 10.56 samples/sec Train-Accuracy=0.817143
2016-09-26 06:05:47,424 Epoch[6] Batch [28950] Speed: 10.54 samples/sec Train-Accuracy=0.825714
2016-09-26 06:06:25,287 Epoch[6] Batch [29000] Speed: 10.56 samples/sec Train-Accuracy=0.808571
2016-09-26 06:07:02,875 Epoch[6] Batch [29050] Speed: 10.64 samples/sec Train-Accuracy=0.811429
2016-09-26 06:07:39,201 Epoch[6] Batch [29100] Speed: 11.01 samples/sec Train-Accuracy=0.828571
2016-09-26 06:08:15,614 Epoch[6] Batch [29150] Speed: 10.99 samples/sec Train-Accuracy=0.864286
2016-09-26 06:08:52,141 Epoch[6] Batch [29200] Speed: 10.95 samples/sec Train-Accuracy=0.797143
2016-09-26 06:09:28,563 Epoch[6] Batch [29250] Speed: 10.98 samples/sec Train-Accuracy=0.817143
2016-09-26 06:10:04,934 Epoch[6] Batch [29300] Speed: 11.00 samples/sec Train-Accuracy=0.792857
2016-09-26 06:10:41,378 Epoch[6] Batch [29350] Speed: 10.98 samples/sec Train-Accuracy=0.802857
2016-09-26 06:11:17,802 Epoch[6] Batch [29400] Speed: 10.98 samples/sec Train-Accuracy=0.830000
2016-09-26 06:11:54,068 Epoch[6] Batch [29450] Speed: 11.03 samples/sec Train-Accuracy=0.805714
2016-09-26 06:12:30,257 Epoch[6] Batch [29500] Speed: 11.05 samples/sec Train-Accuracy=0.822857
2016-09-26 06:13:06,672 Epoch[6] Batch [29550] Speed: 10.98 samples/sec Train-Accuracy=0.824286
2016-09-26 06:13:42,968 Epoch[6] Batch [29600] Speed: 11.02 samples/sec Train-Accuracy=0.805714
2016-09-26 06:14:19,389 Epoch[6] Batch [29650] Speed: 10.98 samples/sec Train-Accuracy=0.820000
2016-09-26 06:14:55,793 Epoch[6] Batch [29700] Speed: 10.99 samples/sec Train-Accuracy=0.818571
2016-09-26 06:15:32,024 Epoch[6] Batch [29750] Speed: 11.04 samples/sec Train-Accuracy=0.790000
2016-09-26 06:16:08,284 Epoch[6] Batch [29800] Speed: 11.03 samples/sec Train-Accuracy=0.798571
2016-09-26 06:16:44,589 Epoch[6] Batch [29850] Speed: 11.02 samples/sec Train-Accuracy=0.821429
2016-09-26 06:17:20,815 Epoch[6] Batch [29900] Speed: 11.04 samples/sec Train-Accuracy=0.778571
2016-09-26 06:17:56,989 Epoch[6] Batch [29950] Speed: 11.06 samples/sec Train-Accuracy=0.795714
2016-09-26 06:18:33,029 Epoch[6] Batch [30000] Speed: 11.10 samples/sec Train-Accuracy=0.844286
2016-09-26 06:19:11,266 Epoch[6] Batch [30050] Speed: 10.46 samples/sec Train-Accuracy=0.827143
2016-09-26 06:19:48,867 Epoch[6] Batch [30100] Speed: 10.64 samples/sec Train-Accuracy=0.808571
2016-09-26 06:20:29,723 Epoch[6] Batch [30150] Speed: 9.79 samples/sec Train-Accuracy=0.802857
2016-09-26 06:21:07,718 Epoch[6] Batch [30200] Speed: 10.53 samples/sec Train-Accuracy=0.782857
2016-09-26 06:21:45,077 Epoch[6] Batch [30250] Speed: 10.71 samples/sec Train-Accuracy=0.821429
2016-09-26 06:22:24,756 Epoch[6] Batch [30300] Speed: 10.08 samples/sec Train-Accuracy=0.811429
2016-09-26 06:23:03,702 Epoch[6] Batch [30350] Speed: 10.27 samples/sec Train-Accuracy=0.838571
2016-09-26 06:23:40,633 Epoch[6] Batch [30400] Speed: 10.83 samples/sec Train-Accuracy=0.797143
2016-09-26 06:24:17,404 Epoch[6] Batch [30450] Speed: 10.88 samples/sec Train-Accuracy=0.840000
2016-09-26 06:24:55,250 Epoch[6] Batch [30500] Speed: 10.57 samples/sec Train-Accuracy=0.818571
2016-09-26 06:25:33,710 Epoch[6] Batch [30550] Speed: 10.40 samples/sec Train-Accuracy=0.804286
2016-09-26 06:26:12,013 Epoch[6] Batch [30600] Speed: 10.44 samples/sec Train-Accuracy=0.822857
2016-09-26 06:26:50,578 Epoch[6] Batch [30650] Speed: 10.37 samples/sec Train-Accuracy=0.852857
2016-09-26 06:27:29,155 Epoch[6] Batch [30700] Speed: 10.37 samples/sec Train-Accuracy=0.821429
2016-09-26 06:28:07,343 Epoch[6] Batch [30750] Speed: 10.47 samples/sec Train-Accuracy=0.810000
2016-09-26 06:28:44,233 Epoch[6] Batch [30800] Speed: 10.84 samples/sec Train-Accuracy=0.804286
2016-09-26 06:29:21,144 Epoch[6] Batch [30850] Speed: 10.84 samples/sec Train-Accuracy=0.841429
2016-09-26 06:29:57,995 Epoch[6] Batch [30900] Speed: 10.85 samples/sec Train-Accuracy=0.820000
2016-09-26 06:30:34,654 Epoch[6] Batch [30950] Speed: 10.91 samples/sec Train-Accuracy=0.830000
2016-09-26 06:31:11,244 Epoch[6] Batch [31000] Speed: 10.93 samples/sec Train-Accuracy=0.795714
2016-09-26 06:31:47,945 Epoch[6] Batch [31050] Speed: 10.90 samples/sec Train-Accuracy=0.824286
2016-09-26 06:32:24,629 Epoch[6] Batch [31100] Speed: 10.90 samples/sec Train-Accuracy=0.808571
2016-09-26 06:33:02,638 Epoch[6] Batch [31150] Speed: 10.52 samples/sec Train-Accuracy=0.828571
2016-09-26 06:33:41,290 Epoch[6] Batch [31200] Speed: 10.35 samples/sec Train-Accuracy=0.821429
2016-09-26 06:34:18,273 Epoch[6] Batch [31250] Speed: 10.82 samples/sec Train-Accuracy=0.810000
2016-09-26 06:34:55,516 Epoch[6] Batch [31300] Speed: 10.74 samples/sec Train-Accuracy=0.761429
2016-09-26 06:35:33,152 Epoch[6] Batch [31350] Speed: 10.63 samples/sec Train-Accuracy=0.810000
2016-09-26 06:36:11,062 Epoch[6] Batch [31400] Speed: 10.55 samples/sec Train-Accuracy=0.777143
2016-09-26 06:36:47,965 Epoch[6] Batch [31450] Speed: 10.84 samples/sec Train-Accuracy=0.792857
2016-09-26 06:37:24,391 Epoch[6] Batch [31500] Speed: 10.98 samples/sec Train-Accuracy=0.805714
2016-09-26 06:38:00,874 Epoch[6] Batch [31550] Speed: 10.96 samples/sec Train-Accuracy=0.814286
2016-09-26 06:38:37,195 Epoch[6] Batch [31600] Speed: 11.01 samples/sec Train-Accuracy=0.825714
2016-09-26 06:39:13,693 Epoch[6] Batch [31650] Speed: 10.96 samples/sec Train-Accuracy=0.818571
2016-09-26 06:39:50,059 Epoch[6] Batch [31700] Speed: 11.00 samples/sec Train-Accuracy=0.824286
2016-09-26 06:40:26,532 Epoch[6] Batch [31750] Speed: 10.97 samples/sec Train-Accuracy=0.808571
2016-09-26 06:41:02,814 Epoch[6] Batch [31800] Speed: 11.02 samples/sec Train-Accuracy=0.837143
2016-09-26 06:41:39,250 Epoch[6] Batch [31850] Speed: 10.98 samples/sec Train-Accuracy=0.822857
2016-09-26 06:42:15,733 Epoch[6] Batch [31900] Speed: 10.96 samples/sec Train-Accuracy=0.838571
2016-09-26 06:42:52,059 Epoch[6] Batch [31950] Speed: 11.01 samples/sec Train-Accuracy=0.851429
2016-09-26 06:43:28,440 Epoch[6] Batch [32000] Speed: 11.00 samples/sec Train-Accuracy=0.828571
2016-09-26 06:44:04,817 Epoch[6] Batch [32050] Speed: 11.00 samples/sec Train-Accuracy=0.810000
2016-09-26 06:44:41,284 Epoch[6] Batch [32100] Speed: 10.97 samples/sec Train-Accuracy=0.852857
2016-09-26 06:45:17,613 Epoch[6] Batch [32150] Speed: 11.01 samples/sec Train-Accuracy=0.830000
2016-09-26 06:45:53,969 Epoch[6] Batch [32200] Speed: 11.00 samples/sec Train-Accuracy=0.802857
2016-09-26 06:46:32,030 Epoch[6] Batch [32250] Speed: 10.51 samples/sec Train-Accuracy=0.787143
2016-09-26 06:47:09,905 Epoch[6] Batch [32300] Speed: 10.56 samples/sec Train-Accuracy=0.777143
2016-09-26 06:47:46,563 Epoch[6] Batch [32350] Speed: 10.91 samples/sec Train-Accuracy=0.810000
2016-09-26 06:48:22,995 Epoch[6] Batch [32400] Speed: 10.98 samples/sec Train-Accuracy=0.810000
2016-09-26 06:48:59,599 Epoch[6] Batch [32450] Speed: 10.93 samples/sec Train-Accuracy=0.828571
2016-09-26 06:49:36,182 Epoch[6] Batch [32500] Speed: 10.93 samples/sec Train-Accuracy=0.808571
2016-09-26 06:50:12,607 Epoch[6] Batch [32550] Speed: 10.98 samples/sec Train-Accuracy=0.831429
2016-09-26 06:50:49,069 Epoch[6] Batch [32600] Speed: 10.97 samples/sec Train-Accuracy=0.820000
2016-09-26 06:51:25,491 Epoch[6] Batch [32650] Speed: 10.98 samples/sec Train-Accuracy=0.821429
2016-09-26 06:52:02,086 Epoch[6] Batch [32700] Speed: 10.93 samples/sec Train-Accuracy=0.848571
2016-09-26 06:52:39,049 Epoch[6] Batch [32750] Speed: 10.82 samples/sec Train-Accuracy=0.842857
2016-09-26 06:53:15,882 Epoch[6] Batch [32800] Speed: 10.86 samples/sec Train-Accuracy=0.830000
2016-09-26 06:53:52,324 Epoch[6] Batch [32850] Speed: 10.98 samples/sec Train-Accuracy=0.792857
2016-09-26 06:54:28,867 Epoch[6] Batch [32900] Speed: 10.95 samples/sec Train-Accuracy=0.820000
2016-09-26 06:55:05,338 Epoch[6] Batch [32950] Speed: 10.97 samples/sec Train-Accuracy=0.844286
2016-09-26 06:55:41,832 Epoch[6] Batch [33000] Speed: 10.96 samples/sec Train-Accuracy=0.847143
2016-09-26 06:56:18,411 Epoch[6] Batch [33050] Speed: 10.94 samples/sec Train-Accuracy=0.814286
2016-09-26 06:56:56,194 Epoch[6] Batch [33100] Speed: 10.59 samples/sec Train-Accuracy=0.825714
2016-09-26 06:57:33,674 Epoch[6] Batch [33150] Speed: 10.67 samples/sec Train-Accuracy=0.831429
2016-09-26 06:58:10,984 Epoch[6] Batch [33200] Speed: 10.72 samples/sec Train-Accuracy=0.815714
2016-09-26 06:58:47,776 Epoch[6] Batch [33250] Speed: 10.87 samples/sec Train-Accuracy=0.800000
2016-09-26 06:59:25,776 Epoch[6] Batch [33300] Speed: 10.53 samples/sec Train-Accuracy=0.815714
2016-09-26 07:00:06,156 Epoch[6] Batch [33350] Speed: 9.91 samples/sec Train-Accuracy=0.837143
2016-09-26 07:00:42,772 Epoch[6] Batch [33400] Speed: 10.92 samples/sec Train-Accuracy=0.832857
2016-09-26 07:01:21,833 Epoch[6] Batch [33450] Speed: 10.24 samples/sec Train-Accuracy=0.830000
2016-09-26 07:01:58,622 Epoch[6] Batch [33500] Speed: 10.87 samples/sec Train-Accuracy=0.854286
2016-09-26 07:02:35,592 Epoch[6] Batch [33550] Speed: 10.82 samples/sec Train-Accuracy=0.772857
2016-09-26 07:03:12,406 Epoch[6] Batch [33600] Speed: 10.87 samples/sec Train-Accuracy=0.812857
2016-09-26 07:03:49,219 Epoch[6] Batch [33650] Speed: 10.87 samples/sec Train-Accuracy=0.808571
2016-09-26 07:04:25,975 Epoch[6] Batch [33700] Speed: 10.88 samples/sec Train-Accuracy=0.812857
2016-09-26 07:05:03,035 Epoch[6] Batch [33750] Speed: 10.79 samples/sec Train-Accuracy=0.838571
2016-09-26 07:05:40,026 Epoch[6] Batch [33800] Speed: 10.81 samples/sec Train-Accuracy=0.817143
2016-09-26 07:06:17,101 Epoch[6] Batch [33850] Speed: 10.79 samples/sec Train-Accuracy=0.824286
2016-09-26 07:06:54,193 Epoch[6] Batch [33900] Speed: 10.78 samples/sec Train-Accuracy=0.827143
2016-09-26 07:07:31,137 Epoch[6] Batch [33950] Speed: 10.83 samples/sec Train-Accuracy=0.812857
2016-09-26 07:08:08,211 Epoch[6] Batch [34000] Speed: 10.79 samples/sec Train-Accuracy=0.805714
2016-09-26 07:08:46,166 Epoch[6] Batch [34050] Speed: 10.54 samples/sec Train-Accuracy=0.805714
2016-09-26 07:09:23,712 Epoch[6] Batch [34100] Speed: 10.65 samples/sec Train-Accuracy=0.824286
2016-09-26 07:10:00,973 Epoch[6] Batch [34150] Speed: 10.74 samples/sec Train-Accuracy=0.834286
2016-09-26 07:10:37,310 Epoch[6] Batch [34200] Speed: 11.01 samples/sec Train-Accuracy=0.827143
2016-09-26 07:11:17,816 Epoch[6] Batch [34250] Speed: 9.88 samples/sec Train-Accuracy=0.848571
2016-09-26 07:11:55,378 Epoch[6] Batch [34300] Speed: 10.65 samples/sec Train-Accuracy=0.824286
2016-09-26 07:12:31,843 Epoch[6] Batch [34350] Speed: 10.97 samples/sec Train-Accuracy=0.794286
2016-09-26 07:13:08,099 Epoch[6] Batch [34400] Speed: 11.03 samples/sec Train-Accuracy=0.825714
2016-09-26 07:13:44,338 Epoch[6] Batch [34450] Speed: 11.04 samples/sec Train-Accuracy=0.797143
2016-09-26 07:14:20,682 Epoch[6] Batch [34500] Speed: 11.01 samples/sec Train-Accuracy=0.834286
2016-09-26 07:14:57,002 Epoch[6] Batch [34550] Speed: 11.01 samples/sec Train-Accuracy=0.837143
2016-09-26 07:15:33,214 Epoch[6] Batch [34600] Speed: 11.05 samples/sec Train-Accuracy=0.807143
2016-09-26 07:16:09,364 Epoch[6] Batch [34650] Speed: 11.07 samples/sec Train-Accuracy=0.804286
2016-09-26 07:16:45,726 Epoch[6] Batch [34700] Speed: 11.00 samples/sec Train-Accuracy=0.812857
2016-09-26 07:17:22,037 Epoch[6] Batch [34750] Speed: 11.02 samples/sec Train-Accuracy=0.801429
2016-09-26 07:17:58,412 Epoch[6] Batch [34800] Speed: 11.00 samples/sec Train-Accuracy=0.817143
2016-09-26 07:18:34,724 Epoch[6] Batch [34850] Speed: 11.02 samples/sec Train-Accuracy=0.805714
2016-09-26 07:19:10,979 Epoch[6] Batch [34900] Speed: 11.03 samples/sec Train-Accuracy=0.820000
2016-09-26 07:19:47,464 Epoch[6] Batch [34950] Speed: 10.96 samples/sec Train-Accuracy=0.841429
2016-09-26 07:20:24,297 Epoch[6] Batch [35000] Speed: 10.86 samples/sec Train-Accuracy=0.841429
2016-09-26 07:21:01,438 Epoch[6] Batch [35050] Speed: 10.77 samples/sec Train-Accuracy=0.834286
2016-09-26 07:21:39,008 Epoch[6] Batch [35100] Speed: 10.65 samples/sec Train-Accuracy=0.842857
2016-09-26 07:22:16,374 Epoch[6] Batch [35150] Speed: 10.70 samples/sec Train-Accuracy=0.831429
2016-09-26 07:22:54,789 Epoch[6] Batch [35200] Speed: 10.41 samples/sec Train-Accuracy=0.808571
2016-09-26 07:23:32,330 Epoch[6] Batch [35250] Speed: 10.66 samples/sec Train-Accuracy=0.825714
2016-09-26 07:24:10,407 Epoch[6] Batch [35300] Speed: 10.51 samples/sec Train-Accuracy=0.831429
2016-09-26 07:24:47,894 Epoch[6] Batch [35350] Speed: 10.67 samples/sec Train-Accuracy=0.828571
2016-09-26 07:25:24,784 Epoch[6] Batch [35400] Speed: 10.84 samples/sec Train-Accuracy=0.838571
2016-09-26 07:26:04,496 Epoch[6] Batch [35450] Speed: 10.07 samples/sec Train-Accuracy=0.824286
2016-09-26 07:26:41,983 Epoch[6] Batch [35500] Speed: 10.67 samples/sec Train-Accuracy=0.807143
2016-09-26 07:27:19,828 Epoch[6] Batch [35550] Speed: 10.57 samples/sec Train-Accuracy=0.761429
2016-09-26 07:27:58,117 Epoch[6] Batch [35600] Speed: 10.45 samples/sec Train-Accuracy=0.825714
2016-09-26 07:28:36,849 Epoch[6] Batch [35650] Speed: 10.33 samples/sec Train-Accuracy=0.825714
2016-09-26 07:29:15,388 Epoch[6] Batch [35700] Speed: 10.38 samples/sec Train-Accuracy=0.808571
2016-09-26 07:29:54,531 Epoch[6] Batch [35750] Speed: 10.22 samples/sec Train-Accuracy=0.832857
2016-09-26 07:30:34,327 Epoch[6] Batch [35800] Speed: 10.05 samples/sec Train-Accuracy=0.830000
2016-09-26 07:31:13,538 Epoch[6] Batch [35850] Speed: 10.20 samples/sec Train-Accuracy=0.824286
2016-09-26 07:31:52,677 Epoch[6] Batch [35900] Speed: 10.22 samples/sec Train-Accuracy=0.810000
2016-09-26 07:32:28,972 Epoch[6] Batch [35950] Speed: 11.02 samples/sec Train-Accuracy=0.814286
2016-09-26 07:33:05,108 Epoch[6] Batch [36000] Speed: 11.07 samples/sec Train-Accuracy=0.822857
2016-09-26 07:33:41,382 Epoch[6] Batch [36050] Speed: 11.03 samples/sec Train-Accuracy=0.805714
2016-09-26 07:34:17,562 Epoch[6] Batch [36100] Speed: 11.06 samples/sec Train-Accuracy=0.810000
2016-09-26 07:34:53,697 Epoch[6] Batch [36150] Speed: 11.07 samples/sec Train-Accuracy=0.815714
2016-09-26 07:35:29,969 Epoch[6] Batch [36200] Speed: 11.03 samples/sec Train-Accuracy=0.818571
2016-09-26 07:36:07,329 Epoch[6] Batch [36250] Speed: 10.71 samples/sec Train-Accuracy=0.812857
2016-09-26 07:36:46,486 Epoch[6] Batch [36300] Speed: 10.22 samples/sec Train-Accuracy=0.815714
2016-09-26 07:37:24,801 Epoch[6] Batch [36350] Speed: 10.44 samples/sec Train-Accuracy=0.811429
2016-09-26 07:38:03,188 Epoch[6] Batch [36400] Speed: 10.42 samples/sec Train-Accuracy=0.852857
2016-09-26 07:38:41,443 Epoch[6] Batch [36450] Speed: 10.46 samples/sec Train-Accuracy=0.825714
2016-09-26 07:39:18,985 Epoch[6] Batch [36500] Speed: 10.65 samples/sec Train-Accuracy=0.832857
2016-09-26 07:39:55,199 Epoch[6] Batch [36550] Speed: 11.05 samples/sec Train-Accuracy=0.804286
2016-09-26 07:40:31,322 Epoch[6] Batch [36600] Speed: 11.07 samples/sec Train-Accuracy=0.830000
2016-09-26 07:41:08,564 Epoch[6] Batch [36650] Speed: 10.74 samples/sec Train-Accuracy=0.834286
2016-09-26 07:41:44,784 Epoch[6] Batch [36700] Speed: 11.04 samples/sec Train-Accuracy=0.814286
2016-09-26 07:42:20,971 Epoch[6] Batch [36750] Speed: 11.05 samples/sec Train-Accuracy=0.810000
2016-09-26 07:43:00,350 Epoch[6] Batch [36800] Speed: 10.16 samples/sec Train-Accuracy=0.832857
2016-09-26 07:43:38,628 Epoch[6] Batch [36850] Speed: 10.45 samples/sec Train-Accuracy=0.815714
2016-09-26 07:44:17,083 Epoch[6] Batch [36900] Speed: 10.40 samples/sec Train-Accuracy=0.811429
2016-09-26 07:44:55,291 Epoch[6] Batch [36950] Speed: 10.47 samples/sec Train-Accuracy=0.837143
2016-09-26 07:45:32,943 Epoch[6] Batch [37000] Speed: 10.62 samples/sec Train-Accuracy=0.835714
2016-09-26 07:46:10,043 Epoch[6] Batch [37050] Speed: 10.78 samples/sec Train-Accuracy=0.811429
2016-09-26 07:46:47,018 Epoch[6] Batch [37100] Speed: 10.82 samples/sec Train-Accuracy=0.811429
2016-09-26 07:47:23,797 Epoch[6] Batch [37150] Speed: 10.88 samples/sec Train-Accuracy=0.818571
2016-09-26 07:48:05,197 Epoch[6] Batch [37200] Speed: 9.66 samples/sec Train-Accuracy=0.805714
2016-09-26 07:48:45,749 Epoch[6] Batch [37250] Speed: 9.86 samples/sec Train-Accuracy=0.810000
2016-09-26 07:49:24,066 Epoch[6] Batch [37300] Speed: 10.44 samples/sec Train-Accuracy=0.845714
2016-09-26 07:50:00,864 Epoch[6] Batch [37350] Speed: 10.87 samples/sec Train-Accuracy=0.801429
2016-09-26 07:50:37,579 Epoch[6] Batch [37400] Speed: 10.89 samples/sec Train-Accuracy=0.820000
2016-09-26 07:51:14,290 Epoch[6] Batch [37450] Speed: 10.90 samples/sec Train-Accuracy=0.828571
2016-09-26 07:51:51,049 Epoch[6] Batch [37500] Speed: 10.88 samples/sec Train-Accuracy=0.784286
2016-09-26 07:52:27,904 Epoch[6] Batch [37550] Speed: 10.85 samples/sec Train-Accuracy=0.832857
2016-09-26 07:53:05,021 Epoch[6] Batch [37600] Speed: 10.78 samples/sec Train-Accuracy=0.851429
2016-09-26 07:53:42,828 Epoch[6] Batch [37650] Speed: 10.58 samples/sec Train-Accuracy=0.790000
2016-09-26 07:54:23,582 Epoch[6] Batch [37700] Speed: 9.82 samples/sec Train-Accuracy=0.801429
2016-09-26 07:55:03,431 Epoch[6] Batch [37750] Speed: 10.04 samples/sec Train-Accuracy=0.844286
2016-09-26 07:55:43,364 Epoch[6] Batch [37800] Speed: 10.02 samples/sec Train-Accuracy=0.800000
2016-09-26 07:56:22,810 Epoch[6] Batch [37850] Speed: 10.14 samples/sec Train-Accuracy=0.791429
2016-09-26 07:57:00,232 Epoch[6] Batch [37900] Speed: 10.69 samples/sec Train-Accuracy=0.811429
2016-09-26 07:57:38,319 Epoch[6] Batch [37950] Speed: 10.50 samples/sec Train-Accuracy=0.817143
2016-09-26 07:58:16,537 Epoch[6] Batch [38000] Speed: 10.47 samples/sec Train-Accuracy=0.807143
2016-09-26 07:58:54,549 Epoch[6] Batch [38050] Speed: 10.52 samples/sec Train-Accuracy=0.811429
2016-09-26 07:59:31,507 Epoch[6] Batch [38100] Speed: 10.82 samples/sec Train-Accuracy=0.814286
2016-09-26 08:00:09,455 Epoch[6] Batch [38150] Speed: 10.54 samples/sec Train-Accuracy=0.822857
2016-09-26 08:00:46,396 Epoch[6] Batch [38200] Speed: 10.83 samples/sec Train-Accuracy=0.827143
2016-09-26 08:01:23,262 Epoch[6] Batch [38250] Speed: 10.85 samples/sec Train-Accuracy=0.794286
2016-09-26 08:02:00,177 Epoch[6] Batch [38300] Speed: 10.84 samples/sec Train-Accuracy=0.804286
2016-09-26 08:02:37,107 Epoch[6] Batch [38350] Speed: 10.83 samples/sec Train-Accuracy=0.817143
2016-09-26 08:03:14,065 Epoch[6] Batch [38400] Speed: 10.82 samples/sec Train-Accuracy=0.822857
2016-09-26 08:03:51,110 Epoch[6] Batch [38450] Speed: 10.80 samples/sec Train-Accuracy=0.838571
2016-09-26 08:04:29,873 Epoch[6] Batch [38500] Speed: 10.32 samples/sec Train-Accuracy=0.815714
2016-09-26 08:05:07,323 Epoch[6] Batch [38550] Speed: 10.68 samples/sec Train-Accuracy=0.834286
2016-09-26 08:05:44,940 Epoch[6] Batch [38600] Speed: 10.63 samples/sec Train-Accuracy=0.795714
2016-09-26 08:06:21,935 Epoch[6] Batch [38650] Speed: 10.81 samples/sec Train-Accuracy=0.837143
2016-09-26 08:06:58,717 Epoch[6] Batch [38700] Speed: 10.87 samples/sec Train-Accuracy=0.825714
2016-09-26 08:07:35,685 Epoch[6] Batch [38750] Speed: 10.82 samples/sec Train-Accuracy=0.854286
2016-09-26 08:08:13,110 Epoch[6] Batch [38800] Speed: 10.69 samples/sec Train-Accuracy=0.808571
2016-09-26 08:08:50,446 Epoch[6] Batch [38850] Speed: 10.71 samples/sec Train-Accuracy=0.835714
2016-09-26 08:09:26,293 Epoch[6] Batch [38900] Speed: 11.16 samples/sec Train-Accuracy=0.832857
2016-09-26 08:10:02,260 Epoch[6] Batch [38950] Speed: 11.12 samples/sec Train-Accuracy=0.815714
2016-09-26 08:10:43,313 Epoch[6] Batch [39000] Speed: 9.74 samples/sec Train-Accuracy=0.811429
2016-09-26 08:11:23,155 Epoch[6] Batch [39050] Speed: 10.04 samples/sec Train-Accuracy=0.842857
2016-09-26 08:12:01,654 Epoch[6] Batch [39100] Speed: 10.39 samples/sec Train-Accuracy=0.841429
2016-09-26 08:12:39,341 Epoch[6] Batch [39150] Speed: 10.61 samples/sec Train-Accuracy=0.815714
2016-09-26 08:13:17,048 Epoch[6] Batch [39200] Speed: 10.61 samples/sec Train-Accuracy=0.802857
2016-09-26 08:13:54,708 Epoch[6] Batch [39250] Speed: 10.62 samples/sec Train-Accuracy=0.824286
2016-09-26 08:14:32,267 Epoch[6] Batch [39300] Speed: 10.65 samples/sec Train-Accuracy=0.837143
2016-09-26 08:15:09,929 Epoch[6] Batch [39350] Speed: 10.62 samples/sec Train-Accuracy=0.847143
2016-09-26 08:15:47,535 Epoch[6] Batch [39400] Speed: 10.64 samples/sec Train-Accuracy=0.838571
2016-09-26 08:16:25,013 Epoch[6] Batch [39450] Speed: 10.67 samples/sec Train-Accuracy=0.817143
2016-09-26 08:17:02,704 Epoch[6] Batch [39500] Speed: 10.61 samples/sec Train-Accuracy=0.828571
2016-09-26 08:17:40,390 Epoch[6] Batch [39550] Speed: 10.61 samples/sec Train-Accuracy=0.821429
2016-09-26 08:18:18,031 Epoch[6] Batch [39600] Speed: 10.63 samples/sec Train-Accuracy=0.811429
2016-09-26 08:18:54,062 Epoch[6] Batch [39650] Speed: 11.10 samples/sec Train-Accuracy=0.818571
2016-09-26 08:19:30,463 Epoch[6] Batch [39700] Speed: 10.99 samples/sec Train-Accuracy=0.835714
2016-09-26 08:20:08,855 Epoch[6] Batch [39750] Speed: 10.42 samples/sec Train-Accuracy=0.832857
2016-09-26 08:20:45,061 Epoch[6] Batch [39800] Speed: 11.05 samples/sec Train-Accuracy=0.847143
2016-09-26 08:21:21,087 Epoch[6] Batch [39850] Speed: 11.10 samples/sec Train-Accuracy=0.822857
2016-09-26 08:21:57,145 Epoch[6] Batch [39900] Speed: 11.09 samples/sec Train-Accuracy=0.850000
2016-09-26 08:22:33,529 Epoch[6] Batch [39950] Speed: 10.99 samples/sec Train-Accuracy=0.834286
2016-09-26 08:23:09,784 Epoch[6] Batch [40000] Speed: 11.03 samples/sec Train-Accuracy=0.835714
2016-09-26 08:23:46,442 Epoch[6] Batch [40050] Speed: 10.91 samples/sec Train-Accuracy=0.830000
2016-09-26 08:24:22,475 Epoch[6] Batch [40100] Speed: 11.10 samples/sec Train-Accuracy=0.832857
2016-09-26 08:24:58,461 Epoch[6] Batch [40150] Speed: 11.12 samples/sec Train-Accuracy=0.808571
2016-09-26 08:25:34,481 Epoch[6] Batch [40200] Speed: 11.11 samples/sec Train-Accuracy=0.791429
2016-09-26 08:26:10,535 Epoch[6] Batch [40250] Speed: 11.09 samples/sec Train-Accuracy=0.835714
2016-09-26 08:26:46,518 Epoch[6] Batch [40300] Speed: 11.12 samples/sec Train-Accuracy=0.821429
2016-09-26 08:27:22,506 Epoch[6] Batch [40350] Speed: 11.12 samples/sec Train-Accuracy=0.812857
2016-09-26 08:27:58,619 Epoch[6] Batch [40400] Speed: 11.08 samples/sec Train-Accuracy=0.818571
2016-09-26 08:28:34,676 Epoch[6] Batch [40450] Speed: 11.09 samples/sec Train-Accuracy=0.784286
2016-09-26 08:29:10,762 Epoch[6] Batch [40500] Speed: 11.08 samples/sec Train-Accuracy=0.814286
2016-09-26 08:29:46,855 Epoch[6] Batch [40550] Speed: 11.08 samples/sec Train-Accuracy=0.817143
2016-09-26 08:30:22,919 Epoch[6] Batch [40600] Speed: 11.09 samples/sec Train-Accuracy=0.827143
2016-09-26 08:30:59,172 Epoch[6] Batch [40650] Speed: 11.03 samples/sec Train-Accuracy=0.797143
2016-09-26 08:31:35,268 Epoch[6] Batch [40700] Speed: 11.08 samples/sec Train-Accuracy=0.828571
2016-09-26 08:32:11,510 Epoch[6] Batch [40750] Speed: 11.04 samples/sec Train-Accuracy=0.824286
2016-09-26 08:32:47,642 Epoch[6] Batch [40800] Speed: 11.07 samples/sec Train-Accuracy=0.838571
2016-09-26 08:33:24,339 Epoch[6] Batch [40850] Speed: 10.90 samples/sec Train-Accuracy=0.842857
2016-09-26 08:34:01,303 Epoch[6] Batch [40900] Speed: 10.82 samples/sec Train-Accuracy=0.797143
2016-09-26 08:34:40,642 Epoch[6] Batch [40950] Speed: 10.17 samples/sec Train-Accuracy=0.780000
2016-09-26 08:35:19,382 Epoch[6] Batch [41000] Speed: 10.33 samples/sec Train-Accuracy=0.841429
2016-09-26 08:35:56,290 Epoch[6] Batch [41050] Speed: 10.84 samples/sec Train-Accuracy=0.815714
2016-09-26 08:36:32,343 Epoch[6] Batch [41100] Speed: 11.09 samples/sec Train-Accuracy=0.825714
2016-09-26 08:37:08,346 Epoch[6] Batch [41150] Speed: 11.11 samples/sec Train-Accuracy=0.818571
2016-09-26 08:37:44,315 Epoch[6] Batch [41200] Speed: 11.12 samples/sec Train-Accuracy=0.814286
2016-09-26 08:38:23,059 Epoch[6] Batch [41250] Speed: 10.32 samples/sec Train-Accuracy=0.812857
2016-09-26 08:39:02,664 Epoch[6] Batch [41300] Speed: 10.10 samples/sec Train-Accuracy=0.827143
2016-09-26 08:39:42,391 Epoch[6] Batch [41350] Speed: 10.07 samples/sec Train-Accuracy=0.832857
2016-09-26 08:40:20,820 Epoch[6] Batch [41400] Speed: 10.41 samples/sec Train-Accuracy=0.818571
2016-09-26 08:40:59,369 Epoch[6] Batch [41450] Speed: 10.38 samples/sec Train-Accuracy=0.844286
2016-09-26 08:41:37,644 Epoch[6] Batch [41500] Speed: 10.45 samples/sec Train-Accuracy=0.791429
2016-09-26 08:42:15,505 Epoch[6] Batch [41550] Speed: 10.57 samples/sec Train-Accuracy=0.845714
2016-09-26 08:42:53,261 Epoch[6] Batch [41600] Speed: 10.59 samples/sec Train-Accuracy=0.821429
2016-09-26 08:43:31,038 Epoch[6] Batch [41650] Speed: 10.59 samples/sec Train-Accuracy=0.798571
2016-09-26 08:44:09,289 Epoch[6] Batch [41700] Speed: 10.46 samples/sec Train-Accuracy=0.825714
2016-09-26 08:44:47,490 Epoch[6] Batch [41750] Speed: 10.47 samples/sec Train-Accuracy=0.817143
2016-09-26 08:45:25,337 Epoch[6] Batch [41800] Speed: 10.57 samples/sec Train-Accuracy=0.835714
2016-09-26 08:46:03,316 Epoch[6] Batch [41850] Speed: 10.53 samples/sec Train-Accuracy=0.814286
2016-09-26 08:46:41,852 Epoch[6] Batch [41900] Speed: 10.38 samples/sec Train-Accuracy=0.792857
2016-09-26 08:47:21,497 Epoch[6] Batch [41950] Speed: 10.09 samples/sec Train-Accuracy=0.791429
2016-09-26 08:47:59,262 Epoch[6] Batch [42000] Speed: 10.59 samples/sec Train-Accuracy=0.855714
2016-09-26 08:48:37,615 Epoch[6] Batch [42050] Speed: 10.43 samples/sec Train-Accuracy=0.805714
2016-09-26 08:49:17,309 Epoch[6] Batch [42100] Speed: 10.08 samples/sec Train-Accuracy=0.817143
2016-09-26 08:49:54,416 Epoch[6] Batch [42150] Speed: 10.78 samples/sec Train-Accuracy=0.807143
2016-09-26 08:50:31,401 Epoch[6] Batch [42200] Speed: 10.82 samples/sec Train-Accuracy=0.832857
2016-09-26 08:51:08,276 Epoch[6] Batch [42250] Speed: 10.85 samples/sec Train-Accuracy=0.828571
2016-09-26 08:51:45,154 Epoch[6] Batch [42300] Speed: 10.85 samples/sec Train-Accuracy=0.837143
2016-09-26 08:52:21,982 Epoch[6] Batch [42350] Speed: 10.86 samples/sec Train-Accuracy=0.791429
2016-09-26 08:52:58,714 Epoch[6] Batch [42400] Speed: 10.89 samples/sec Train-Accuracy=0.824286
2016-09-26 08:53:38,620 Epoch[6] Batch [42450] Speed: 10.02 samples/sec Train-Accuracy=0.817143
2016-09-26 08:54:17,794 Epoch[6] Batch [42500] Speed: 10.21 samples/sec Train-Accuracy=0.825714
2016-09-26 08:54:54,774 Epoch[6] Batch [42550] Speed: 10.82 samples/sec Train-Accuracy=0.832857
2016-09-26 08:55:36,008 Epoch[6] Batch [42600] Speed: 9.70 samples/sec Train-Accuracy=0.818571
2016-09-26 08:56:14,203 Epoch[6] Batch [42650] Speed: 10.47 samples/sec Train-Accuracy=0.812857
2016-09-26 08:56:51,917 Epoch[6] Batch [42700] Speed: 10.61 samples/sec Train-Accuracy=0.805714
2016-09-26 08:57:28,744 Epoch[6] Batch [42750] Speed: 10.86 samples/sec Train-Accuracy=0.820000
2016-09-26 08:58:06,829 Epoch[6] Batch [42800] Speed: 10.50 samples/sec Train-Accuracy=0.795714
2016-09-26 08:58:48,568 Epoch[6] Batch [42850] Speed: 9.58 samples/sec Train-Accuracy=0.827143
2016-09-26 08:59:28,861 Epoch[6] Batch [42900] Speed: 9.93 samples/sec Train-Accuracy=0.820000
2016-09-26 09:00:08,021 Epoch[6] Batch [42950] Speed: 10.21 samples/sec Train-Accuracy=0.830000
2016-09-26 09:00:44,862 Epoch[6] Batch [43000] Speed: 10.86 samples/sec Train-Accuracy=0.792857
2016-09-26 09:01:20,776 Epoch[6] Batch [43050] Speed: 11.14 samples/sec Train-Accuracy=0.827143
2016-09-26 09:01:56,755 Epoch[6] Batch [43100] Speed: 11.12 samples/sec Train-Accuracy=0.818571
2016-09-26 09:02:32,659 Epoch[6] Batch [43150] Speed: 11.14 samples/sec Train-Accuracy=0.787143
2016-09-26 09:03:08,684 Epoch[6] Batch [43200] Speed: 11.10 samples/sec Train-Accuracy=0.811429
2016-09-26 09:03:48,047 Epoch[6] Batch [43250] Speed: 10.16 samples/sec Train-Accuracy=0.828571
2016-09-26 09:04:25,598 Epoch[6] Batch [43300] Speed: 10.65 samples/sec Train-Accuracy=0.825714
2016-09-26 09:05:03,226 Epoch[6] Batch [43350] Speed: 10.63 samples/sec Train-Accuracy=0.821429
2016-09-26 09:05:40,524 Epoch[6] Batch [43400] Speed: 10.72 samples/sec Train-Accuracy=0.854286
2016-09-26 09:06:16,889 Epoch[6] Batch [43450] Speed: 11.00 samples/sec Train-Accuracy=0.851429
2016-09-26 09:06:53,209 Epoch[6] Batch [43500] Speed: 11.01 samples/sec Train-Accuracy=0.854286
2016-09-26 09:07:31,735 Epoch[6] Batch [43550] Speed: 10.38 samples/sec Train-Accuracy=0.831429
2016-09-26 09:08:08,619 Epoch[6] Batch [43600] Speed: 10.85 samples/sec Train-Accuracy=0.844286
2016-09-26 09:08:45,431 Epoch[6] Batch [43650] Speed: 10.87 samples/sec Train-Accuracy=0.817143
2016-09-26 09:09:23,433 Epoch[6] Batch [43700] Speed: 10.53 samples/sec Train-Accuracy=0.801429
2016-09-26 09:10:00,611 Epoch[6] Batch [43750] Speed: 10.76 samples/sec Train-Accuracy=0.844286
2016-09-26 09:10:36,831 Epoch[6] Batch [43800] Speed: 11.04 samples/sec Train-Accuracy=0.831429
2016-09-26 09:11:13,096 Epoch[6] Batch [43850] Speed: 11.03 samples/sec Train-Accuracy=0.838571
2016-09-26 09:11:49,331 Epoch[6] Batch [43900] Speed: 11.04 samples/sec Train-Accuracy=0.822857
2016-09-26 09:12:25,434 Epoch[6] Batch [43950] Speed: 11.08 samples/sec Train-Accuracy=0.820000
2016-09-26 09:13:01,463 Epoch[6] Batch [44000] Speed: 11.10 samples/sec Train-Accuracy=0.815714
2016-09-26 09:13:37,552 Epoch[6] Batch [44050] Speed: 11.08 samples/sec Train-Accuracy=0.808571
2016-09-26 09:14:13,611 Epoch[6] Batch [44100] Speed: 11.09 samples/sec Train-Accuracy=0.815714
2016-09-26 09:14:50,161 Epoch[6] Batch [44150] Speed: 10.94 samples/sec Train-Accuracy=0.842857
2016-09-26 09:15:27,915 Epoch[6] Batch [44200] Speed: 10.60 samples/sec Train-Accuracy=0.811429
2016-09-26 09:16:07,057 Epoch[6] Batch [44250] Speed: 10.22 samples/sec Train-Accuracy=0.811429
2016-09-26 09:16:45,254 Epoch[6] Batch [44300] Speed: 10.47 samples/sec Train-Accuracy=0.838571
2016-09-26 09:17:21,932 Epoch[6] Batch [44350] Speed: 10.91 samples/sec Train-Accuracy=0.857143
2016-09-26 09:18:00,298 Epoch[6] Batch [44400] Speed: 10.43 samples/sec Train-Accuracy=0.784286
2016-09-26 09:18:38,807 Epoch[6] Batch [44450] Speed: 10.39 samples/sec Train-Accuracy=0.792857
2016-09-26 09:19:16,369 Epoch[6] Batch [44500] Speed: 10.65 samples/sec Train-Accuracy=0.837143
2016-09-26 09:19:54,275 Epoch[6] Batch [44550] Speed: 10.55 samples/sec Train-Accuracy=0.827143
2016-09-26 09:20:32,171 Epoch[6] Batch [44600] Speed: 10.56 samples/sec Train-Accuracy=0.842857
2016-09-26 09:21:10,108 Epoch[6] Batch [44650] Speed: 10.54 samples/sec Train-Accuracy=0.821429
2016-09-26 09:21:47,253 Epoch[6] Batch [44700] Speed: 10.77 samples/sec Train-Accuracy=0.837143
2016-09-26 09:22:24,532 Epoch[6] Batch [44750] Speed: 10.73 samples/sec Train-Accuracy=0.798571
2016-09-26 09:23:01,849 Epoch[6] Batch [44800] Speed: 10.72 samples/sec Train-Accuracy=0.837143
2016-09-26 09:23:39,121 Epoch[6] Batch [44850] Speed: 10.73 samples/sec Train-Accuracy=0.832857
2016-09-26 09:24:16,348 Epoch[6] Batch [44900] Speed: 10.74 samples/sec Train-Accuracy=0.825714
2016-09-26 09:24:53,561 Epoch[6] Batch [44950] Speed: 10.75 samples/sec Train-Accuracy=0.791429
2016-09-26 09:25:30,780 Epoch[6] Batch [45000] Speed: 10.75 samples/sec Train-Accuracy=0.837143
2016-09-26 09:26:08,040 Epoch[6] Batch [45050] Speed: 10.74 samples/sec Train-Accuracy=0.834286
2016-09-26 09:26:44,867 Epoch[6] Batch [45100] Speed: 10.86 samples/sec Train-Accuracy=0.788571
2016-09-26 09:27:21,749 Epoch[6] Batch [45150] Speed: 10.85 samples/sec Train-Accuracy=0.824286
2016-09-26 09:27:58,822 Epoch[6] Batch [45200] Speed: 10.79 samples/sec Train-Accuracy=0.857143
2016-09-26 09:28:36,251 Epoch[6] Batch [45250] Speed: 10.69 samples/sec Train-Accuracy=0.824286
2016-09-26 09:29:13,980 Epoch[6] Batch [45300] Speed: 10.60 samples/sec Train-Accuracy=0.788571
2016-09-26 09:29:51,812 Epoch[6] Batch [45350] Speed: 10.57 samples/sec Train-Accuracy=0.860000
2016-09-26 09:30:29,353 Epoch[6] Batch [45400] Speed: 10.66 samples/sec Train-Accuracy=0.807143
2016-09-26 09:31:07,233 Epoch[6] Batch [45450] Speed: 10.56 samples/sec Train-Accuracy=0.802857
2016-09-26 09:31:45,248 Epoch[6] Batch [45500] Speed: 10.52 samples/sec Train-Accuracy=0.825714
2016-09-26 09:32:23,229 Epoch[6] Batch [45550] Speed: 10.53 samples/sec Train-Accuracy=0.812857
2016-09-26 09:33:01,221 Epoch[6] Batch [45600] Speed: 10.53 samples/sec Train-Accuracy=0.837143
2016-09-26 09:33:39,252 Epoch[6] Batch [45650] Speed: 10.52 samples/sec Train-Accuracy=0.852857
2016-09-26 09:34:17,335 Epoch[6] Batch [45700] Speed: 10.50 samples/sec Train-Accuracy=0.831429
2016-09-26 09:34:55,076 Epoch[6] Batch [45750] Speed: 10.60 samples/sec Train-Accuracy=0.832857
2016-09-26 09:35:32,601 Epoch[6] Batch [45800] Speed: 10.66 samples/sec Train-Accuracy=0.818571
2016-09-26 09:36:10,193 Epoch[6] Batch [45850] Speed: 10.64 samples/sec Train-Accuracy=0.824286
2016-09-26 09:36:47,927 Epoch[6] Batch [45900] Speed: 10.60 samples/sec Train-Accuracy=0.797143
2016-09-26 09:37:25,720 Epoch[6] Batch [45950] Speed: 10.58 samples/sec Train-Accuracy=0.825714
2016-09-26 09:38:03,797 Epoch[6] Batch [46000] Speed: 10.51 samples/sec Train-Accuracy=0.805714
2016-09-26 09:38:41,952 Epoch[6] Batch [46050] Speed: 10.48 samples/sec Train-Accuracy=0.838571
2016-09-26 09:39:20,709 Epoch[6] Batch [46100] Speed: 10.32 samples/sec Train-Accuracy=0.814286
2016-09-26 09:39:59,433 Epoch[6] Batch [46150] Speed: 10.33 samples/sec Train-Accuracy=0.807143
2016-09-26 09:40:36,925 Epoch[6] Batch [46200] Speed: 10.67 samples/sec Train-Accuracy=0.798571
2016-09-26 09:41:14,138 Epoch[6] Batch [46250] Speed: 10.75 samples/sec Train-Accuracy=0.852857
2016-09-26 09:41:50,891 Epoch[6] Batch [46300] Speed: 10.88 samples/sec Train-Accuracy=0.827143
2016-09-26 09:42:27,278 Epoch[6] Batch [46350] Speed: 10.99 samples/sec Train-Accuracy=0.824286
2016-09-26 09:43:04,022 Epoch[6] Batch [46400] Speed: 10.89 samples/sec Train-Accuracy=0.838571
2016-09-26 09:43:40,205 Epoch[6] Batch [46450] Speed: 11.05 samples/sec Train-Accuracy=0.788571
2016-09-26 09:44:16,228 Epoch[6] Batch [46500] Speed: 11.10 samples/sec Train-Accuracy=0.830000
2016-09-26 09:44:52,467 Epoch[6] Batch [46550] Speed: 11.04 samples/sec Train-Accuracy=0.828571
2016-09-26 09:45:28,491 Epoch[6] Batch [46600] Speed: 11.10 samples/sec Train-Accuracy=0.845714
2016-09-26 09:46:04,581 Epoch[6] Batch [46650] Speed: 11.08 samples/sec Train-Accuracy=0.818571
2016-09-26 09:46:40,656 Epoch[6] Batch [46700] Speed: 11.09 samples/sec Train-Accuracy=0.804286
2016-09-26 09:47:17,353 Epoch[6] Batch [46750] Speed: 10.90 samples/sec Train-Accuracy=0.837143
2016-09-26 09:47:53,303 Epoch[6] Batch [46800] Speed: 11.13 samples/sec Train-Accuracy=0.808571
2016-09-26 09:48:33,103 Epoch[6] Batch [46850] Speed: 10.05 samples/sec Train-Accuracy=0.811429
2016-09-26 09:49:12,256 Epoch[6] Batch [46900] Speed: 10.22 samples/sec Train-Accuracy=0.795714
2016-09-26 09:49:50,718 Epoch[6] Batch [46950] Speed: 10.40 samples/sec Train-Accuracy=0.842857
2016-09-26 09:50:28,100 Epoch[6] Batch [47000] Speed: 10.70 samples/sec Train-Accuracy=0.794286
2016-09-26 09:51:04,488 Epoch[6] Batch [47050] Speed: 10.99 samples/sec Train-Accuracy=0.817143
2016-09-26 09:51:40,453 Epoch[6] Batch [47100] Speed: 11.12 samples/sec Train-Accuracy=0.821429
2016-09-26 09:52:16,490 Epoch[6] Batch [47150] Speed: 11.10 samples/sec Train-Accuracy=0.830000
2016-09-26 09:52:52,501 Epoch[6] Batch [47200] Speed: 11.11 samples/sec Train-Accuracy=0.822857
2016-09-26 09:53:28,516 Epoch[6] Batch [47250] Speed: 11.11 samples/sec Train-Accuracy=0.797143
2016-09-26 09:54:04,430 Epoch[6] Batch [47300] Speed: 11.14 samples/sec Train-Accuracy=0.828571
2016-09-26 09:54:40,313 Epoch[6] Batch [47350] Speed: 11.15 samples/sec Train-Accuracy=0.814286
2016-09-26 09:55:16,347 Epoch[6] Batch [47400] Speed: 11.10 samples/sec Train-Accuracy=0.832857
2016-09-26 09:55:52,297 Epoch[6] Batch [47450] Speed: 11.13 samples/sec Train-Accuracy=0.851429
2016-09-26 09:56:28,232 Epoch[6] Batch [47500] Speed: 11.13 samples/sec Train-Accuracy=0.801429
2016-09-26 09:57:04,227 Epoch[6] Batch [47550] Speed: 11.11 samples/sec Train-Accuracy=0.837143
2016-09-26 09:57:40,292 Epoch[6] Batch [47600] Speed: 11.09 samples/sec Train-Accuracy=0.822857
2016-09-26 09:58:16,328 Epoch[6] Batch [47650] Speed: 11.10 samples/sec Train-Accuracy=0.834286
2016-09-26 09:58:52,501 Epoch[6] Batch [47700] Speed: 11.06 samples/sec Train-Accuracy=0.778571
2016-09-26 09:59:29,338 Epoch[6] Batch [47750] Speed: 10.86 samples/sec Train-Accuracy=0.832857
2016-09-26 10:00:05,854 Epoch[6] Batch [47800] Speed: 10.95 samples/sec Train-Accuracy=0.824286
2016-09-26 10:00:41,771 Epoch[6] Batch [47850] Speed: 11.14 samples/sec Train-Accuracy=0.824286
2016-09-26 10:01:17,659 Epoch[6] Batch [47900] Speed: 11.15 samples/sec Train-Accuracy=0.822857
2016-09-26 10:01:53,450 Epoch[6] Batch [47950] Speed: 11.18 samples/sec Train-Accuracy=0.858571
2016-09-26 10:02:29,284 Epoch[6] Batch [48000] Speed: 11.16 samples/sec Train-Accuracy=0.830000
2016-09-26 10:03:05,125 Epoch[6] Batch [48050] Speed: 11.16 samples/sec Train-Accuracy=0.845714
2016-09-26 10:03:41,065 Epoch[6] Batch [48100] Speed: 11.13 samples/sec Train-Accuracy=0.805714
2016-09-26 10:04:21,882 Epoch[6] Batch [48150] Speed: 9.80 samples/sec Train-Accuracy=0.825714
2016-09-26 10:05:02,130 Epoch[6] Batch [48200] Speed: 9.94 samples/sec Train-Accuracy=0.817143
2016-09-26 10:05:38,157 Epoch[6] Batch [48250] Speed: 11.10 samples/sec Train-Accuracy=0.844286
2016-09-26 10:06:14,149 Epoch[6] Batch [48300] Speed: 11.11 samples/sec Train-Accuracy=0.831429
2016-09-26 10:06:50,054 Epoch[6] Batch [48350] Speed: 11.14 samples/sec Train-Accuracy=0.814286
2016-09-26 10:07:29,499 Epoch[6] Batch [48400] Speed: 10.14 samples/sec Train-Accuracy=0.811429
2016-09-26 10:08:06,596 Epoch[6] Batch [48450] Speed: 10.78 samples/sec Train-Accuracy=0.815714
2016-09-26 10:08:44,081 Epoch[6] Batch [48500] Speed: 10.67 samples/sec Train-Accuracy=0.834286
2016-09-26 10:09:21,387 Epoch[6] Batch [48550] Speed: 10.72 samples/sec Train-Accuracy=0.817143
2016-09-26 10:09:58,401 Epoch[6] Batch [48600] Speed: 10.81 samples/sec Train-Accuracy=0.808571
2016-09-26 10:10:35,689 Epoch[6] Batch [48650] Speed: 10.73 samples/sec Train-Accuracy=0.832857
2016-09-26 10:11:12,985 Epoch[6] Batch [48700] Speed: 10.73 samples/sec Train-Accuracy=0.868571
2016-09-26 10:11:53,215 Epoch[6] Batch [48750] Speed: 9.94 samples/sec Train-Accuracy=0.795714
2016-09-26 10:12:34,965 Epoch[6] Batch [48800] Speed: 9.58 samples/sec Train-Accuracy=0.844286
2016-09-26 10:13:14,964 Epoch[6] Batch [48850] Speed: 10.00 samples/sec Train-Accuracy=0.814286
2016-09-26 10:13:55,855 Epoch[6] Batch [48900] Speed: 9.78 samples/sec Train-Accuracy=0.855714
2016-09-26 10:14:34,682 Epoch[6] Batch [48950] Speed: 10.30 samples/sec Train-Accuracy=0.828571
2016-09-26 10:15:15,204 Epoch[6] Batch [49000] Speed: 9.87 samples/sec Train-Accuracy=0.822857
2016-09-26 10:15:55,974 Epoch[6] Batch [49050] Speed: 9.81 samples/sec Train-Accuracy=0.812857
2016-09-26 10:16:35,234 Epoch[6] Batch [49100] Speed: 10.19 samples/sec Train-Accuracy=0.800000
2016-09-26 10:17:14,211 Epoch[6] Batch [49150] Speed: 10.26 samples/sec Train-Accuracy=0.840000
2016-09-26 10:17:51,392 Epoch[6] Batch [49200] Speed: 10.76 samples/sec Train-Accuracy=0.820000
2016-09-26 10:18:28,579 Epoch[6] Batch [49250] Speed: 10.76 samples/sec Train-Accuracy=0.835714
2016-09-26 10:19:06,515 Epoch[6] Batch [49300] Speed: 10.54 samples/sec Train-Accuracy=0.791429
2016-09-26 10:19:46,292 Epoch[6] Batch [49350] Speed: 10.06 samples/sec Train-Accuracy=0.787143
2016-09-26 10:20:24,287 Epoch[6] Batch [49400] Speed: 10.53 samples/sec Train-Accuracy=0.831429
2016-09-26 10:21:00,327 Epoch[6] Batch [49450] Speed: 11.10 samples/sec Train-Accuracy=0.804286
2016-09-26 10:21:36,283 Epoch[6] Batch [49500] Speed: 11.12 samples/sec Train-Accuracy=0.820000
2016-09-26 10:22:12,749 Epoch[6] Batch [49550] Speed: 10.97 samples/sec Train-Accuracy=0.827143
2016-09-26 10:22:48,914 Epoch[6] Batch [49600] Speed: 11.06 samples/sec Train-Accuracy=0.810000
2016-09-26 10:23:27,568 Epoch[6] Batch [49650] Speed: 10.35 samples/sec Train-Accuracy=0.812857
2016-09-26 10:24:04,908 Epoch[6] Batch [49700] Speed: 10.71 samples/sec Train-Accuracy=0.837143
2016-09-26 10:24:41,015 Epoch[6] Batch [49750] Speed: 11.08 samples/sec Train-Accuracy=0.807143
2016-09-26 10:25:21,227 Epoch[6] Batch [49800] Speed: 9.95 samples/sec Train-Accuracy=0.858571
2016-09-26 10:26:01,477 Epoch[6] Batch [49850] Speed: 9.94 samples/sec Train-Accuracy=0.825714
2016-09-26 10:26:39,844 Epoch[6] Batch [49900] Speed: 10.43 samples/sec Train-Accuracy=0.845714
2016-09-26 10:27:18,446 Epoch[6] Batch [49950] Speed: 10.36 samples/sec Train-Accuracy=0.824286
2016-09-26 10:27:57,079 Epoch[6] Batch [50000] Speed: 10.35 samples/sec Train-Accuracy=0.801429
2016-09-26 10:28:35,344 Epoch[6] Batch [50050] Speed: 10.45 samples/sec Train-Accuracy=0.805714
2016-09-26 10:29:13,359 Epoch[6] Batch [50100] Speed: 10.52 samples/sec Train-Accuracy=0.830000
2016-09-26 10:29:51,029 Epoch[6] Batch [50150] Speed: 10.62 samples/sec Train-Accuracy=0.824286
2016-09-26 10:30:29,982 Epoch[6] Batch [50200] Speed: 10.27 samples/sec Train-Accuracy=0.828571
2016-09-26 10:31:10,603 Epoch[6] Batch [50250] Speed: 9.85 samples/sec Train-Accuracy=0.814286
2016-09-26 10:31:50,285 Epoch[6] Batch [50300] Speed: 10.08 samples/sec Train-Accuracy=0.805714
2016-09-26 10:32:28,857 Epoch[6] Batch [50350] Speed: 10.37 samples/sec Train-Accuracy=0.771429
2016-09-26 10:33:06,546 Epoch[6] Batch [50400] Speed: 10.61 samples/sec Train-Accuracy=0.824286
2016-09-26 10:33:43,720 Epoch[6] Batch [50450] Speed: 10.76 samples/sec Train-Accuracy=0.822857
2016-09-26 10:34:21,039 Epoch[6] Batch [50500] Speed: 10.72 samples/sec Train-Accuracy=0.850000
2016-09-26 10:34:58,261 Epoch[6] Batch [50550] Speed: 10.75 samples/sec Train-Accuracy=0.805714
2016-09-26 10:35:35,109 Epoch[6] Batch [50600] Speed: 10.86 samples/sec Train-Accuracy=0.822857
2016-09-26 10:36:11,934 Epoch[6] Batch [50650] Speed: 10.86 samples/sec Train-Accuracy=0.831429
2016-09-26 10:36:48,751 Epoch[6] Batch [50700] Speed: 10.86 samples/sec Train-Accuracy=0.824286
2016-09-26 10:37:25,723 Epoch[6] Batch [50750] Speed: 10.82 samples/sec Train-Accuracy=0.837143
2016-09-26 10:38:02,728 Epoch[6] Batch [50800] Speed: 10.81 samples/sec Train-Accuracy=0.835714
2016-09-26 10:38:40,899 Epoch[6] Batch [50850] Speed: 10.48 samples/sec Train-Accuracy=0.838571
2016-09-26 10:39:20,716 Epoch[6] Batch [50900] Speed: 10.05 samples/sec Train-Accuracy=0.798571
2016-09-26 10:39:57,796 Epoch[6] Batch [50950] Speed: 10.79 samples/sec Train-Accuracy=0.822857
2016-09-26 10:40:37,167 Epoch[6] Batch [51000] Speed: 10.16 samples/sec Train-Accuracy=0.817143
2016-09-26 10:41:16,251 Epoch[6] Batch [51050] Speed: 10.23 samples/sec Train-Accuracy=0.797143
2016-09-26 10:41:54,411 Epoch[6] Batch [51100] Speed: 10.48 samples/sec Train-Accuracy=0.808571
2016-09-26 10:42:32,061 Epoch[6] Batch [51150] Speed: 10.62 samples/sec Train-Accuracy=0.811429
2016-09-26 10:43:08,962 Epoch[6] Batch [51200] Speed: 10.84 samples/sec Train-Accuracy=0.818571
2016-09-26 10:43:45,749 Epoch[6] Batch [51250] Speed: 10.87 samples/sec Train-Accuracy=0.818571
2016-09-26 10:44:22,626 Epoch[6] Batch [51300] Speed: 10.85 samples/sec Train-Accuracy=0.817143
2016-09-26 10:44:59,565 Epoch[6] Batch [51350] Speed: 10.83 samples/sec Train-Accuracy=0.805714
2016-09-26 10:45:36,452 Epoch[6] Batch [51400] Speed: 10.84 samples/sec Train-Accuracy=0.800000
2016-09-26 10:46:13,407 Epoch[6] Batch [51450] Speed: 10.82 samples/sec Train-Accuracy=0.824286
2016-09-26 10:46:50,427 Epoch[6] Batch [51500] Speed: 10.81 samples/sec Train-Accuracy=0.820000
2016-09-26 10:47:27,514 Epoch[6] Batch [51550] Speed: 10.79 samples/sec Train-Accuracy=0.798571
2016-09-26 10:48:04,546 Epoch[6] Batch [51600] Speed: 10.80 samples/sec Train-Accuracy=0.855714
2016-09-26 10:48:41,383 Epoch[6] Batch [51650] Speed: 10.86 samples/sec Train-Accuracy=0.787143
2016-09-26 10:49:18,333 Epoch[6] Batch [51700] Speed: 10.83 samples/sec Train-Accuracy=0.780000
2016-09-26 10:49:55,310 Epoch[6] Batch [51750] Speed: 10.82 samples/sec Train-Accuracy=0.821429
2016-09-26 10:50:32,236 Epoch[6] Batch [51800] Speed: 10.83 samples/sec Train-Accuracy=0.847143
2016-09-26 10:51:09,182 Epoch[6] Batch [51850] Speed: 10.83 samples/sec Train-Accuracy=0.805714
2016-09-26 10:51:46,157 Epoch[6] Batch [51900] Speed: 10.82 samples/sec Train-Accuracy=0.815714
2016-09-26 10:52:23,005 Epoch[6] Batch [51950] Speed: 10.86 samples/sec Train-Accuracy=0.840000
2016-09-26 10:52:59,897 Epoch[6] Batch [52000] Speed: 10.84 samples/sec Train-Accuracy=0.794286
2016-09-26 10:53:36,789 Epoch[6] Batch [52050] Speed: 10.84 samples/sec Train-Accuracy=0.835714
2016-09-26 10:54:15,171 Epoch[6] Batch [52100] Speed: 10.42 samples/sec Train-Accuracy=0.835714
2016-09-26 10:54:52,185 Epoch[6] Batch [52150] Speed: 10.81 samples/sec Train-Accuracy=0.775714
2016-09-26 10:55:29,004 Epoch[6] Batch [52200] Speed: 10.86 samples/sec Train-Accuracy=0.820000
2016-09-26 10:56:05,887 Epoch[6] Batch [52250] Speed: 10.85 samples/sec Train-Accuracy=0.824286
2016-09-26 10:56:45,413 Epoch[6] Batch [52300] Speed: 10.12 samples/sec Train-Accuracy=0.822857
2016-09-26 10:57:23,148 Epoch[6] Batch [52350] Speed: 10.60 samples/sec Train-Accuracy=0.774286
2016-09-26 10:58:00,252 Epoch[6] Batch [52400] Speed: 10.78 samples/sec Train-Accuracy=0.817143
2016-09-26 10:58:37,249 Epoch[6] Batch [52450] Speed: 10.81 samples/sec Train-Accuracy=0.788571
2016-09-26 10:59:14,281 Epoch[6] Batch [52500] Speed: 10.80 samples/sec Train-Accuracy=0.848571
2016-09-26 10:59:51,248 Epoch[6] Batch [52550] Speed: 10.82 samples/sec Train-Accuracy=0.834286
2016-09-26 11:00:28,310 Epoch[6] Batch [52600] Speed: 10.79 samples/sec Train-Accuracy=0.801429
2016-09-26 11:01:05,347 Epoch[6] Batch [52650] Speed: 10.80 samples/sec Train-Accuracy=0.824286
2016-09-26 11:01:42,641 Epoch[6] Batch [52700] Speed: 10.73 samples/sec Train-Accuracy=0.815714
2016-09-26 11:02:19,610 Epoch[6] Batch [52750] Speed: 10.82 samples/sec Train-Accuracy=0.845714
2016-09-26 11:02:56,537 Epoch[6] Batch [52800] Speed: 10.83 samples/sec Train-Accuracy=0.814286
2016-09-26 11:03:33,454 Epoch[6] Batch [52850] Speed: 10.84 samples/sec Train-Accuracy=0.841429
2016-09-26 11:04:10,363 Epoch[6] Batch [52900] Speed: 10.84 samples/sec Train-Accuracy=0.812857
2016-09-26 11:04:47,306 Epoch[6] Batch [52950] Speed: 10.83 samples/sec Train-Accuracy=0.810000
2016-09-26 11:05:24,249 Epoch[6] Batch [53000] Speed: 10.83 samples/sec Train-Accuracy=0.835714
2016-09-26 11:06:02,734 Epoch[6] Batch [53050] Speed: 10.39 samples/sec Train-Accuracy=0.837143
2016-09-26 11:06:42,131 Epoch[6] Batch [53100] Speed: 10.15 samples/sec Train-Accuracy=0.830000
2016-09-26 11:07:21,223 Epoch[6] Batch [53150] Speed: 10.23 samples/sec Train-Accuracy=0.802857
2016-09-26 11:07:59,793 Epoch[6] Batch [53200] Speed: 10.37 samples/sec Train-Accuracy=0.834286
2016-09-26 11:08:38,318 Epoch[6] Batch [53250] Speed: 10.38 samples/sec Train-Accuracy=0.835714
2016-09-26 11:09:15,139 Epoch[6] Batch [53300] Speed: 10.86 samples/sec Train-Accuracy=0.840000
2016-09-26 11:09:52,182 Epoch[6] Batch [53350] Speed: 10.80 samples/sec Train-Accuracy=0.831429
2016-09-26 11:10:29,177 Epoch[6] Batch [53400] Speed: 10.81 samples/sec Train-Accuracy=0.852857
2016-09-26 11:11:06,087 Epoch[6] Batch [53450] Speed: 10.84 samples/sec Train-Accuracy=0.837143
2016-09-26 11:11:42,943 Epoch[6] Batch [53500] Speed: 10.85 samples/sec Train-Accuracy=0.791429
2016-09-26 11:12:19,657 Epoch[6] Batch [53550] Speed: 10.90 samples/sec Train-Accuracy=0.817143
2016-09-26 11:12:56,354 Epoch[6] Batch [53600] Speed: 10.90 samples/sec Train-Accuracy=0.820000
2016-09-26 11:13:33,193 Epoch[6] Batch [53650] Speed: 10.86 samples/sec Train-Accuracy=0.831429
2016-09-26 11:14:09,992 Epoch[6] Batch [53700] Speed: 10.87 samples/sec Train-Accuracy=0.808571
2016-09-26 11:14:46,922 Epoch[6] Batch [53750] Speed: 10.83 samples/sec Train-Accuracy=0.795714
2016-09-26 11:15:23,857 Epoch[6] Batch [53800] Speed: 10.83 samples/sec Train-Accuracy=0.824286
2016-09-26 11:16:00,814 Epoch[6] Batch [53850] Speed: 10.82 samples/sec Train-Accuracy=0.824286
2016-09-26 11:16:38,313 Epoch[6] Batch [53900] Speed: 10.67 samples/sec Train-Accuracy=0.812857
2016-09-26 11:17:15,229 Epoch[6] Batch [53950] Speed: 10.84 samples/sec Train-Accuracy=0.824286
2016-09-26 11:17:52,278 Epoch[6] Batch [54000] Speed: 10.80 samples/sec Train-Accuracy=0.845714
2016-09-26 11:18:29,319 Epoch[6] Batch [54050] Speed: 10.80 samples/sec Train-Accuracy=0.847143
2016-09-26 11:19:07,650 Epoch[6] Batch [54100] Speed: 10.44 samples/sec Train-Accuracy=0.844286
2016-09-26 11:19:46,344 Epoch[6] Batch [54150] Speed: 10.34 samples/sec Train-Accuracy=0.838571
2016-09-26 11:20:24,955 Epoch[6] Batch [54200] Speed: 10.36 samples/sec Train-Accuracy=0.835714
2016-09-26 11:21:03,026 Epoch[6] Batch [54250] Speed: 10.51 samples/sec Train-Accuracy=0.812857
2016-09-26 11:21:39,952 Epoch[6] Batch [54300] Speed: 10.83 samples/sec Train-Accuracy=0.840000
2016-09-26 11:22:16,926 Epoch[6] Batch [54350] Speed: 10.82 samples/sec Train-Accuracy=0.867143
2016-09-26 11:22:53,901 Epoch[6] Batch [54400] Speed: 10.82 samples/sec Train-Accuracy=0.825714
2016-09-26 11:23:30,807 Epoch[6] Batch [54450] Speed: 10.84 samples/sec Train-Accuracy=0.827143
2016-09-26 11:24:07,682 Epoch[6] Batch [54500] Speed: 10.85 samples/sec Train-Accuracy=0.817143
2016-09-26 11:24:44,417 Epoch[6] Batch [54550] Speed: 10.89 samples/sec Train-Accuracy=0.854286
2016-09-26 11:25:21,220 Epoch[6] Batch [54600] Speed: 10.87 samples/sec Train-Accuracy=0.841429
2016-09-26 11:25:59,908 Epoch[6] Batch [54650] Speed: 10.34 samples/sec Train-Accuracy=0.832857
2016-09-26 11:26:39,436 Epoch[6] Batch [54700] Speed: 10.12 samples/sec Train-Accuracy=0.818571
2016-09-26 11:27:18,834 Epoch[6] Batch [54750] Speed: 10.15 samples/sec Train-Accuracy=0.822857
2016-09-26 11:27:57,076 Epoch[6] Batch [54800] Speed: 10.46 samples/sec Train-Accuracy=0.828571
2016-09-26 11:28:36,994 Epoch[6] Batch [54850] Speed: 10.02 samples/sec Train-Accuracy=0.837143
2016-09-26 11:29:17,065 Epoch[6] Batch [54900] Speed: 9.98 samples/sec Train-Accuracy=0.810000
2016-09-26 11:29:56,491 Epoch[6] Batch [54950] Speed: 10.15 samples/sec Train-Accuracy=0.831429
2016-09-26 11:30:34,569 Epoch[6] Batch [55000] Speed: 10.51 samples/sec Train-Accuracy=0.817143
2016-09-26 11:31:12,515 Epoch[6] Batch [55050] Speed: 10.54 samples/sec Train-Accuracy=0.830000
2016-09-26 11:31:52,592 Epoch[6] Batch [55100] Speed: 9.98 samples/sec Train-Accuracy=0.852857
2016-09-26 11:32:32,218 Epoch[6] Batch [55150] Speed: 10.09 samples/sec Train-Accuracy=0.840000
2016-09-26 11:33:10,092 Epoch[6] Batch [55200] Speed: 10.56 samples/sec Train-Accuracy=0.794286
2016-09-26 11:33:47,178 Epoch[6] Batch [55250] Speed: 10.79 samples/sec Train-Accuracy=0.834286
2016-09-26 11:34:24,236 Epoch[6] Batch [55300] Speed: 10.79 samples/sec Train-Accuracy=0.800000
2016-09-26 11:35:01,292 Epoch[6] Batch [55350] Speed: 10.79 samples/sec Train-Accuracy=0.830000
2016-09-26 11:35:38,517 Epoch[6] Batch [55400] Speed: 10.75 samples/sec Train-Accuracy=0.835714
2016-09-26 11:36:15,688 Epoch[6] Batch [55450] Speed: 10.76 samples/sec Train-Accuracy=0.814286
2016-09-26 11:36:53,239 Epoch[6] Batch [55500] Speed: 10.65 samples/sec Train-Accuracy=0.831429
2016-09-26 11:37:31,601 Epoch[6] Batch [55550] Speed: 10.43 samples/sec Train-Accuracy=0.794286
2016-09-26 11:38:11,866 Epoch[6] Batch [55600] Speed: 9.93 samples/sec Train-Accuracy=0.800000
2016-09-26 11:38:51,973 Epoch[6] Batch [55650] Speed: 9.97 samples/sec Train-Accuracy=0.798571
2016-09-26 11:39:30,756 Epoch[6] Batch [55700] Speed: 10.31 samples/sec Train-Accuracy=0.812857
2016-09-26 11:40:10,487 Epoch[6] Batch [55750] Speed: 10.07 samples/sec Train-Accuracy=0.822857
2016-09-26 11:40:48,434 Epoch[6] Batch [55800] Speed: 10.54 samples/sec Train-Accuracy=0.851429
2016-09-26 11:41:26,878 Epoch[6] Batch [55850] Speed: 10.40 samples/sec Train-Accuracy=0.802857
2016-09-26 11:42:05,201 Epoch[6] Batch [55900] Speed: 10.44 samples/sec Train-Accuracy=0.814286
2016-09-26 11:42:43,485 Epoch[6] Batch [55950] Speed: 10.45 samples/sec Train-Accuracy=0.865714
2016-09-26 11:43:22,341 Epoch[6] Batch [56000] Speed: 10.29 samples/sec Train-Accuracy=0.811429
2016-09-26 11:44:01,013 Epoch[6] Batch [56050] Speed: 10.34 samples/sec Train-Accuracy=0.824286
2016-09-26 11:44:39,365 Epoch[6] Batch [56100] Speed: 10.43 samples/sec Train-Accuracy=0.834286
2016-09-26 11:45:18,191 Epoch[6] Batch [56150] Speed: 10.30 samples/sec Train-Accuracy=0.805714
2016-09-26 11:45:57,810 Epoch[6] Batch [56200] Speed: 10.10 samples/sec Train-Accuracy=0.838571
2016-09-26 11:46:36,979 Epoch[6] Batch [56250] Speed: 10.21 samples/sec Train-Accuracy=0.844286
2016-09-26 11:47:17,274 Epoch[6] Batch [56300] Speed: 9.93 samples/sec Train-Accuracy=0.841429
2016-09-26 11:47:55,843 Epoch[6] Batch [56350] Speed: 10.37 samples/sec Train-Accuracy=0.824286
2016-09-26 11:48:34,428 Epoch[6] Batch [56400] Speed: 10.37 samples/sec Train-Accuracy=0.824286
2016-09-26 11:49:12,721 Epoch[6] Batch [56450] Speed: 10.45 samples/sec Train-Accuracy=0.842857
2016-09-26 11:49:50,874 Epoch[6] Batch [56500] Speed: 10.48 samples/sec Train-Accuracy=0.805714
2016-09-26 11:50:29,175 Epoch[6] Batch [56550] Speed: 10.44 samples/sec Train-Accuracy=0.825714
2016-09-26 11:51:06,916 Epoch[6] Batch [56600] Speed: 10.60 samples/sec Train-Accuracy=0.824286
2016-09-26 11:51:47,040 Epoch[6] Batch [56650] Speed: 9.97 samples/sec Train-Accuracy=0.831429
2016-09-26 11:52:25,084 Epoch[6] Batch [56700] Speed: 10.51 samples/sec Train-Accuracy=0.814286
2016-09-26 11:53:02,328 Epoch[6] Batch [56750] Speed: 10.74 samples/sec Train-Accuracy=0.840000
2016-09-26 11:53:39,691 Epoch[6] Batch [56800] Speed: 10.71 samples/sec Train-Accuracy=0.812857
2016-09-26 11:54:17,336 Epoch[6] Batch [56850] Speed: 10.63 samples/sec Train-Accuracy=0.808571
2016-09-26 11:54:54,829 Epoch[6] Batch [56900] Speed: 10.67 samples/sec Train-Accuracy=0.805714
2016-09-26 11:55:32,433 Epoch[6] Batch [56950] Speed: 10.64 samples/sec Train-Accuracy=0.865714
2016-09-26 11:56:10,398 Epoch[6] Batch [57000] Speed: 10.54 samples/sec Train-Accuracy=0.827143
2016-09-26 11:56:47,817 Epoch[6] Batch [57050] Speed: 10.69 samples/sec Train-Accuracy=0.817143
2016-09-26 11:57:25,969 Epoch[6] Batch [57100] Speed: 10.48 samples/sec Train-Accuracy=0.815714
2016-09-26 11:58:04,192 Epoch[6] Batch [57150] Speed: 10.46 samples/sec Train-Accuracy=0.805714
2016-09-26 11:58:41,962 Epoch[6] Batch [57200] Speed: 10.59 samples/sec Train-Accuracy=0.830000
2016-09-26 11:59:19,720 Epoch[6] Batch [57250] Speed: 10.59 samples/sec Train-Accuracy=0.842857
2016-09-26 11:59:56,782 Epoch[6] Batch [57300] Speed: 10.79 samples/sec Train-Accuracy=0.834286
2016-09-26 12:00:34,431 Epoch[6] Batch [57350] Speed: 10.62 samples/sec Train-Accuracy=0.817143
2016-09-26 12:01:12,091 Epoch[6] Batch [57400] Speed: 10.62 samples/sec Train-Accuracy=0.821429
2016-09-26 12:01:49,662 Epoch[6] Batch [57450] Speed: 10.65 samples/sec Train-Accuracy=0.841429
2016-09-26 12:02:27,072 Epoch[6] Batch [57500] Speed: 10.69 samples/sec Train-Accuracy=0.778571
2016-09-26 12:03:04,521 Epoch[6] Batch [57550] Speed: 10.68 samples/sec Train-Accuracy=0.798571
2016-09-26 12:03:41,921 Epoch[6] Batch [57600] Speed: 10.70 samples/sec Train-Accuracy=0.814286
2016-09-26 12:04:18,290 Epoch[6] Batch [57650] Speed: 11.00 samples/sec Train-Accuracy=0.842857
2016-09-26 12:04:54,376 Epoch[6] Batch [57700] Speed: 11.08 samples/sec Train-Accuracy=0.852857
2016-09-26 12:05:30,635 Epoch[6] Batch [57750] Speed: 11.03 samples/sec Train-Accuracy=0.841429
2016-09-26 12:06:07,456 Epoch[6] Batch [57800] Speed: 10.86 samples/sec Train-Accuracy=0.832857
2016-09-26 12:06:43,705 Epoch[6] Batch [57850] Speed: 11.03 samples/sec Train-Accuracy=0.838571
2016-09-26 12:07:21,525 Epoch[6] Batch [57900] Speed: 10.58 samples/sec Train-Accuracy=0.817143
2016-09-26 12:07:58,932 Epoch[6] Batch [57950] Speed: 10.69 samples/sec Train-Accuracy=0.781429
2016-09-26 12:08:36,369 Epoch[6] Batch [58000] Speed: 10.68 samples/sec Train-Accuracy=0.807143
2016-09-26 12:09:12,774 Epoch[6] Batch [58050] Speed: 10.99 samples/sec Train-Accuracy=0.831429
2016-09-26 12:09:49,909 Epoch[6] Batch [58100] Speed: 10.77 samples/sec Train-Accuracy=0.840000
2016-09-26 12:10:27,349 Epoch[6] Batch [58150] Speed: 10.68 samples/sec Train-Accuracy=0.827143
2016-09-26 12:11:03,437 Epoch[6] Batch [58200] Speed: 11.08 samples/sec Train-Accuracy=0.835714
2016-09-26 12:11:39,552 Epoch[6] Batch [58250] Speed: 11.08 samples/sec Train-Accuracy=0.801429
2016-09-26 12:12:15,570 Epoch[6] Batch [58300] Speed: 11.11 samples/sec Train-Accuracy=0.820000
2016-09-26 12:12:51,661 Epoch[6] Batch [58350] Speed: 11.08 samples/sec Train-Accuracy=0.791429
2016-09-26 12:13:27,773 Epoch[6] Batch [58400] Speed: 11.08 samples/sec Train-Accuracy=0.840000
2016-09-26 12:14:03,786 Epoch[6] Batch [58450] Speed: 11.11 samples/sec Train-Accuracy=0.827143
2016-09-26 12:14:43,538 Epoch[6] Batch [58500] Speed: 10.06 samples/sec Train-Accuracy=0.815714
2016-09-26 12:15:22,730 Epoch[6] Batch [58550] Speed: 10.21 samples/sec Train-Accuracy=0.847143
2016-09-26 12:15:59,159 Epoch[6] Batch [58600] Speed: 10.98 samples/sec Train-Accuracy=0.800000
2016-09-26 12:16:35,789 Epoch[6] Batch [58650] Speed: 10.92 samples/sec Train-Accuracy=0.812857
2016-09-26 12:17:12,654 Epoch[6] Batch [58700] Speed: 10.85 samples/sec Train-Accuracy=0.841429
2016-09-26 12:17:50,122 Epoch[6] Batch [58750] Speed: 10.68 samples/sec Train-Accuracy=0.867143
2016-09-26 12:18:27,684 Epoch[6] Batch [58800] Speed: 10.65 samples/sec Train-Accuracy=0.821429
2016-09-26 12:19:05,442 Epoch[6] Batch [58850] Speed: 10.59 samples/sec Train-Accuracy=0.787143
2016-09-26 12:19:43,199 Epoch[6] Batch [58900] Speed: 10.59 samples/sec Train-Accuracy=0.841429
2016-09-26 12:20:20,858 Epoch[6] Batch [58950] Speed: 10.62 samples/sec Train-Accuracy=0.831429
2016-09-26 12:20:58,207 Epoch[6] Batch [59000] Speed: 10.71 samples/sec Train-Accuracy=0.817143
2016-09-26 12:21:35,871 Epoch[6] Batch [59050] Speed: 10.62 samples/sec Train-Accuracy=0.832857
2016-09-26 12:22:13,365 Epoch[6] Batch [59100] Speed: 10.67 samples/sec Train-Accuracy=0.821429
2016-09-26 12:22:50,991 Epoch[6] Batch [59150] Speed: 10.63 samples/sec Train-Accuracy=0.770000
2016-09-26 12:23:28,368 Epoch[6] Batch [59200] Speed: 10.70 samples/sec Train-Accuracy=0.802857
2016-09-26 12:24:04,852 Epoch[6] Batch [59250] Speed: 10.96 samples/sec Train-Accuracy=0.811429
2016-09-26 12:24:40,951 Epoch[6] Batch [59300] Speed: 11.08 samples/sec Train-Accuracy=0.790000
2016-09-26 12:25:16,950 Epoch[6] Batch [59350] Speed: 11.11 samples/sec Train-Accuracy=0.821429
2016-09-26 12:25:53,090 Epoch[6] Batch [59400] Speed: 11.07 samples/sec Train-Accuracy=0.808571
2016-09-26 12:26:29,801 Epoch[6] Batch [59450] Speed: 10.90 samples/sec Train-Accuracy=0.804286
2016-09-26 12:27:06,316 Epoch[6] Batch [59500] Speed: 10.95 samples/sec Train-Accuracy=0.797143
2016-09-26 12:27:42,324 Epoch[6] Batch [59550] Speed: 11.11 samples/sec Train-Accuracy=0.817143
2016-09-26 12:28:18,487 Epoch[6] Batch [59600] Speed: 11.06 samples/sec Train-Accuracy=0.815714
2016-09-26 12:28:59,241 Epoch[6] Batch [59650] Speed: 9.82 samples/sec Train-Accuracy=0.785714
2016-09-26 12:29:37,839 Epoch[6] Batch [59700] Speed: 10.36 samples/sec Train-Accuracy=0.827143
2016-09-26 12:30:15,249 Epoch[6] Batch [59750] Speed: 10.69 samples/sec Train-Accuracy=0.842857
2016-09-26 12:30:53,011 Epoch[6] Batch [59800] Speed: 10.59 samples/sec Train-Accuracy=0.844286
2016-09-26 12:31:29,346 Epoch[6] Batch [59850] Speed: 11.01 samples/sec Train-Accuracy=0.800000
2016-09-26 12:32:05,416 Epoch[6] Batch [59900] Speed: 11.09 samples/sec Train-Accuracy=0.801429
2016-09-26 12:32:41,609 Epoch[6] Batch [59950] Speed: 11.05 samples/sec Train-Accuracy=0.842857
2016-09-26 12:33:20,993 Epoch[6] Batch [60000] Speed: 10.16 samples/sec Train-Accuracy=0.824286
2016-09-26 12:34:01,473 Epoch[6] Batch [60050] Speed: 9.88 samples/sec Train-Accuracy=0.820000
2016-09-26 12:34:41,361 Epoch[6] Batch [60100] Speed: 10.03 samples/sec Train-Accuracy=0.832857
2016-09-26 12:35:21,674 Epoch[6] Batch [60150] Speed: 9.92 samples/sec Train-Accuracy=0.820000
2016-09-26 12:35:59,505 Epoch[6] Batch [60200] Speed: 10.57 samples/sec Train-Accuracy=0.850000
2016-09-26 12:36:35,616 Epoch[6] Batch [60250] Speed: 11.08 samples/sec Train-Accuracy=0.798571
2016-09-26 12:37:11,575 Epoch[6] Batch [60300] Speed: 11.12 samples/sec Train-Accuracy=0.864286
2016-09-26 12:37:47,621 Epoch[6] Batch [60350] Speed: 11.10 samples/sec Train-Accuracy=0.825714
2016-09-26 12:38:25,103 Epoch[6] Batch [60400] Speed: 10.67 samples/sec Train-Accuracy=0.807143
2016-09-26 12:39:01,208 Epoch[6] Batch [60450] Speed: 11.08 samples/sec Train-Accuracy=0.837143
2016-09-26 12:39:37,394 Epoch[6] Batch [60500] Speed: 11.05 samples/sec Train-Accuracy=0.852857
2016-09-26 12:40:13,476 Epoch[6] Batch [60550] Speed: 11.09 samples/sec Train-Accuracy=0.802857
2016-09-26 12:40:49,547 Epoch[6] Batch [60600] Speed: 11.09 samples/sec Train-Accuracy=0.845714
2016-09-26 12:41:25,562 Epoch[6] Batch [60650] Speed: 11.11 samples/sec Train-Accuracy=0.831429
2016-09-26 12:42:01,573 Epoch[6] Batch [60700] Speed: 11.11 samples/sec Train-Accuracy=0.821429
2016-09-26 12:42:37,652 Epoch[6] Batch [60750] Speed: 11.09 samples/sec Train-Accuracy=0.831429
2016-09-26 12:43:14,133 Epoch[6] Batch [60800] Speed: 10.96 samples/sec Train-Accuracy=0.851429
2016-09-26 12:43:50,165 Epoch[6] Batch [60850] Speed: 11.10 samples/sec Train-Accuracy=0.838571
2016-09-26 12:44:26,229 Epoch[6] Batch [60900] Speed: 11.09 samples/sec Train-Accuracy=0.824286
2016-09-26 12:45:02,229 Epoch[6] Batch [60950] Speed: 11.11 samples/sec Train-Accuracy=0.825714
2016-09-26 12:45:38,363 Epoch[6] Batch [61000] Speed: 11.07 samples/sec Train-Accuracy=0.834286
2016-09-26 12:46:15,258 Epoch[6] Batch [61050] Speed: 10.84 samples/sec Train-Accuracy=0.855714
2016-09-26 12:46:51,309 Epoch[6] Batch [61100] Speed: 11.10 samples/sec Train-Accuracy=0.805714
2016-09-26 12:47:27,364 Epoch[6] Batch [61150] Speed: 11.09 samples/sec Train-Accuracy=0.830000
2016-09-26 12:48:03,717 Epoch[6] Batch [61200] Speed: 11.00 samples/sec Train-Accuracy=0.807143
2016-09-26 12:48:39,826 Epoch[6] Batch [61250] Speed: 11.08 samples/sec Train-Accuracy=0.848571
2016-09-26 12:49:17,302 Epoch[6] Batch [61300] Speed: 10.67 samples/sec Train-Accuracy=0.831429
2016-09-26 12:49:58,226 Epoch[6] Batch [61350] Speed: 9.77 samples/sec Train-Accuracy=0.842857
2016-09-26 12:50:37,659 Epoch[6] Batch [61400] Speed: 10.14 samples/sec Train-Accuracy=0.824286
2016-09-26 12:51:13,972 Epoch[6] Batch [61450] Speed: 11.02 samples/sec Train-Accuracy=0.808571
2016-09-26 12:51:50,221 Epoch[6] Batch [61500] Speed: 11.03 samples/sec Train-Accuracy=0.835714
2016-09-26 12:52:26,293 Epoch[6] Batch [61550] Speed: 11.09 samples/sec Train-Accuracy=0.834286
2016-09-26 12:53:03,158 Epoch[6] Batch [61600] Speed: 10.85 samples/sec Train-Accuracy=0.815714
2016-09-26 12:53:39,609 Epoch[6] Batch [61650] Speed: 10.97 samples/sec Train-Accuracy=0.791429
2016-09-26 12:54:15,684 Epoch[6] Batch [61700] Speed: 11.09 samples/sec Train-Accuracy=0.830000
2016-09-26 12:54:51,667 Epoch[6] Batch [61750] Speed: 11.12 samples/sec Train-Accuracy=0.808571
2016-09-26 12:55:27,625 Epoch[6] Batch [61800] Speed: 11.12 samples/sec Train-Accuracy=0.832857
2016-09-26 12:56:03,558 Epoch[6] Batch [61850] Speed: 11.13 samples/sec Train-Accuracy=0.812857
2016-09-26 12:56:40,441 Epoch[6] Batch [61900] Speed: 10.85 samples/sec Train-Accuracy=0.797143
2016-09-26 12:57:17,578 Epoch[6] Batch [61950] Speed: 10.77 samples/sec Train-Accuracy=0.821429
2016-09-26 12:57:56,533 Epoch[6] Batch [62000] Speed: 10.27 samples/sec Train-Accuracy=0.797143
2016-09-26 12:58:35,244 Epoch[6] Batch [62050] Speed: 10.33 samples/sec Train-Accuracy=0.804286
2016-09-26 12:59:12,590 Epoch[6] Batch [62100] Speed: 10.71 samples/sec Train-Accuracy=0.832857
2016-09-26 12:59:49,726 Epoch[6] Batch [62150] Speed: 10.77 samples/sec Train-Accuracy=0.844286
2016-09-26 13:00:27,123 Epoch[6] Batch [62200] Speed: 10.70 samples/sec Train-Accuracy=0.818571
2016-09-26 13:01:03,140 Epoch[6] Batch [62250] Speed: 11.11 samples/sec Train-Accuracy=0.818571
2016-09-26 13:01:39,169 Epoch[6] Batch [62300] Speed: 11.10 samples/sec Train-Accuracy=0.835714
2016-09-26 13:02:15,148 Epoch[6] Batch [62350] Speed: 11.12 samples/sec Train-Accuracy=0.790000
2016-09-26 13:02:51,163 Epoch[6] Batch [62400] Speed: 11.11 samples/sec Train-Accuracy=0.785714
2016-09-26 13:03:27,826 Epoch[6] Batch [62450] Speed: 10.91 samples/sec Train-Accuracy=0.814286
2016-09-26 13:04:05,305 Epoch[6] Batch [62500] Speed: 10.67 samples/sec Train-Accuracy=0.831429
2016-09-26 13:04:05,306 Epoch[6] Resetting Data Iterator
2016-09-26 13:04:05,306 Epoch[6] Time cost=46898.366
2016-09-26 13:04:54,504 Epoch[6] Validation-Accuracy=0.821143
2016-09-26 13:05:31,186 Epoch[7] Batch [50] Speed: 11.02 samples/sec Train-Accuracy=0.794286
2016-09-26 13:06:08,592 Epoch[7] Batch [100] Speed: 10.69 samples/sec Train-Accuracy=0.805714
2016-09-26 13:06:47,732 Epoch[7] Batch [150] Speed: 10.22 samples/sec Train-Accuracy=0.857143
2016-09-26 13:07:24,986 Epoch[7] Batch [200] Speed: 10.74 samples/sec Train-Accuracy=0.824286
2016-09-26 13:08:01,090 Epoch[7] Batch [250] Speed: 11.08 samples/sec Train-Accuracy=0.797143
2016-09-26 13:08:37,006 Epoch[7] Batch [300] Speed: 11.14 samples/sec Train-Accuracy=0.832857
2016-09-26 13:09:15,232 Epoch[7] Batch [350] Speed: 10.46 samples/sec Train-Accuracy=0.830000
2016-09-26 13:09:51,389 Epoch[7] Batch [400] Speed: 11.06 samples/sec Train-Accuracy=0.817143
2016-09-26 13:10:27,836 Epoch[7] Batch [450] Speed: 10.97 samples/sec Train-Accuracy=0.798571
2016-09-26 13:11:07,929 Epoch[7] Batch [500] Speed: 9.98 samples/sec Train-Accuracy=0.827143
2016-09-26 13:11:47,241 Epoch[7] Batch [550] Speed: 10.18 samples/sec Train-Accuracy=0.837143
2016-09-26 13:12:26,705 Epoch[7] Batch [600] Speed: 10.14 samples/sec Train-Accuracy=0.835714
2016-09-26 13:13:05,078 Epoch[7] Batch [650] Speed: 10.42 samples/sec Train-Accuracy=0.820000
2016-09-26 13:13:43,620 Epoch[7] Batch [700] Speed: 10.38 samples/sec Train-Accuracy=0.835714
2016-09-26 13:14:20,386 Epoch[7] Batch [750] Speed: 10.88 samples/sec Train-Accuracy=0.835714
2016-09-26 13:14:56,674 Epoch[7] Batch [800] Speed: 11.02 samples/sec Train-Accuracy=0.837143
2016-09-26 13:15:32,747 Epoch[7] Batch [850] Speed: 11.09 samples/sec Train-Accuracy=0.847143
2016-09-26 13:16:09,226 Epoch[7] Batch [900] Speed: 10.97 samples/sec Train-Accuracy=0.821429
2016-09-26 13:16:45,158 Epoch[7] Batch [950] Speed: 11.13 samples/sec Train-Accuracy=0.838571
2016-09-26 13:17:22,180 Epoch[7] Batch [1000] Speed: 10.80 samples/sec Train-Accuracy=0.818571
2016-09-26 13:17:59,935 Epoch[7] Batch [1050] Speed: 10.59 samples/sec Train-Accuracy=0.824286
2016-09-26 13:18:37,319 Epoch[7] Batch [1100] Speed: 10.70 samples/sec Train-Accuracy=0.778571
2016-09-26 13:19:13,866 Epoch[7] Batch [1150] Speed: 10.94 samples/sec Train-Accuracy=0.840000
2016-09-26 13:19:49,872 Epoch[7] Batch [1200] Speed: 11.11 samples/sec Train-Accuracy=0.822857
2016-09-26 13:20:25,877 Epoch[7] Batch [1250] Speed: 11.11 samples/sec Train-Accuracy=0.821429
2016-09-26 13:21:01,877 Epoch[7] Batch [1300] Speed: 11.11 samples/sec Train-Accuracy=0.835714
2016-09-26 13:21:37,980 Epoch[7] Batch [1350] Speed: 11.08 samples/sec Train-Accuracy=0.798571
2016-09-26 13:22:13,987 Epoch[7] Batch [1400] Speed: 11.11 samples/sec Train-Accuracy=0.838571
2016-09-26 13:22:50,185 Epoch[7] Batch [1450] Speed: 11.05 samples/sec Train-Accuracy=0.805714
2016-09-26 13:23:26,415 Epoch[7] Batch [1500] Speed: 11.04 samples/sec Train-Accuracy=0.811429
2016-09-26 13:24:02,499 Epoch[7] Batch [1550] Speed: 11.09 samples/sec Train-Accuracy=0.805714
2016-09-26 13:24:39,355 Epoch[7] Batch [1600] Speed: 10.85 samples/sec Train-Accuracy=0.857143
2016-09-26 13:25:15,356 Epoch[7] Batch [1650] Speed: 11.11 samples/sec Train-Accuracy=0.847143
2016-09-26 13:25:51,531 Epoch[7] Batch [1700] Speed: 11.06 samples/sec Train-Accuracy=0.837143
2016-09-26 13:26:28,045 Epoch[7] Batch [1750] Speed: 10.95 samples/sec Train-Accuracy=0.811429
2016-09-26 13:27:08,653 Epoch[7] Batch [1800] Speed: 9.85 samples/sec Train-Accuracy=0.810000
2016-09-26 13:27:46,913 Epoch[7] Batch [1850] Speed: 10.45 samples/sec Train-Accuracy=0.820000
2016-09-26 13:28:24,250 Epoch[7] Batch [1900] Speed: 10.71 samples/sec Train-Accuracy=0.835714
2016-09-26 13:29:03,249 Epoch[7] Batch [1950] Speed: 10.26 samples/sec Train-Accuracy=0.844286
2016-09-26 13:29:41,001 Epoch[7] Batch [2000] Speed: 10.60 samples/sec Train-Accuracy=0.831429
2016-09-26 13:30:18,762 Epoch[7] Batch [2050] Speed: 10.59 samples/sec Train-Accuracy=0.830000
2016-09-26 13:30:56,264 Epoch[7] Batch [2100] Speed: 10.67 samples/sec Train-Accuracy=0.838571
2016-09-26 13:31:33,531 Epoch[7] Batch [2150] Speed: 10.73 samples/sec Train-Accuracy=0.852857
2016-09-26 13:32:11,688 Epoch[7] Batch [2200] Speed: 10.48 samples/sec Train-Accuracy=0.832857
2016-09-26 13:32:49,215 Epoch[7] Batch [2250] Speed: 10.66 samples/sec Train-Accuracy=0.840000
2016-09-26 13:33:27,156 Epoch[7] Batch [2300] Speed: 10.54 samples/sec Train-Accuracy=0.802857
2016-09-26 13:34:06,541 Epoch[7] Batch [2350] Speed: 10.16 samples/sec Train-Accuracy=0.825714
2016-09-26 13:34:43,969 Epoch[7] Batch [2400] Speed: 10.69 samples/sec Train-Accuracy=0.844286
2016-09-26 13:35:20,014 Epoch[7] Batch [2450] Speed: 11.10 samples/sec Train-Accuracy=0.825714
2016-09-26 13:35:56,108 Epoch[7] Batch [2500] Speed: 11.08 samples/sec Train-Accuracy=0.812857
2016-09-26 13:36:32,153 Epoch[7] Batch [2550] Speed: 11.10 samples/sec Train-Accuracy=0.825714
2016-09-26 13:37:08,218 Epoch[7] Batch [2600] Speed: 11.09 samples/sec Train-Accuracy=0.842857
2016-09-26 13:37:44,250 Epoch[7] Batch [2650] Speed: 11.10 samples/sec Train-Accuracy=0.792857
2016-09-26 13:38:24,054 Epoch[7] Batch [2700] Speed: 10.05 samples/sec Train-Accuracy=0.811429
2016-09-26 13:39:04,212 Epoch[7] Batch [2750] Speed: 9.96 samples/sec Train-Accuracy=0.821429
2016-09-26 13:39:40,606 Epoch[7] Batch [2800] Speed: 10.99 samples/sec Train-Accuracy=0.800000
2016-09-26 13:40:18,272 Epoch[7] Batch [2850] Speed: 10.62 samples/sec Train-Accuracy=0.820000
2016-09-26 13:40:56,520 Epoch[7] Batch [2900] Speed: 10.46 samples/sec Train-Accuracy=0.807143
2016-09-26 13:41:34,258 Epoch[7] Batch [2950] Speed: 10.60 samples/sec Train-Accuracy=0.827143
2016-09-26 13:42:12,203 Epoch[7] Batch [3000] Speed: 10.54 samples/sec Train-Accuracy=0.840000
2016-09-26 13:42:49,686 Epoch[7] Batch [3050] Speed: 10.67 samples/sec Train-Accuracy=0.787143
2016-09-26 13:43:27,379 Epoch[7] Batch [3100] Speed: 10.61 samples/sec Train-Accuracy=0.824286
2016-09-26 13:44:04,857 Epoch[7] Batch [3150] Speed: 10.67 samples/sec Train-Accuracy=0.797143
2016-09-26 13:44:43,345 Epoch[7] Batch [3200] Speed: 10.39 samples/sec Train-Accuracy=0.797143
2016-09-26 13:45:22,058 Epoch[7] Batch [3250] Speed: 10.33 samples/sec Train-Accuracy=0.802857
2016-09-26 13:46:00,378 Epoch[7] Batch [3300] Speed: 10.44 samples/sec Train-Accuracy=0.770000
2016-09-26 13:46:38,840 Epoch[7] Batch [3350] Speed: 10.40 samples/sec Train-Accuracy=0.837143
2016-09-26 13:47:16,941 Epoch[7] Batch [3400] Speed: 10.50 samples/sec Train-Accuracy=0.827143
2016-09-26 13:47:54,412 Epoch[7] Batch [3450] Speed: 10.68 samples/sec Train-Accuracy=0.840000
2016-09-26 13:48:30,452 Epoch[7] Batch [3500] Speed: 11.10 samples/sec Train-Accuracy=0.822857
2016-09-26 13:49:06,512 Epoch[7] Batch [3550] Speed: 11.09 samples/sec Train-Accuracy=0.808571
2016-09-26 13:49:42,894 Epoch[7] Batch [3600] Speed: 10.99 samples/sec Train-Accuracy=0.815714
2016-09-26 13:50:19,275 Epoch[7] Batch [3650] Speed: 10.99 samples/sec Train-Accuracy=0.801429
2016-09-26 13:50:55,349 Epoch[7] Batch [3700] Speed: 11.09 samples/sec Train-Accuracy=0.807143
2016-09-26 13:51:35,992 Epoch[7] Batch [3750] Speed: 9.84 samples/sec Train-Accuracy=0.831429
2016-09-26 13:52:15,553 Epoch[7] Batch [3800] Speed: 10.11 samples/sec Train-Accuracy=0.811429
2016-09-26 13:52:54,118 Epoch[7] Batch [3850] Speed: 10.37 samples/sec Train-Accuracy=0.824286
2016-09-26 13:53:32,411 Epoch[7] Batch [3900] Speed: 10.45 samples/sec Train-Accuracy=0.840000
2016-09-26 13:54:11,139 Epoch[7] Batch [3950] Speed: 10.33 samples/sec Train-Accuracy=0.835714
2016-09-26 13:54:49,433 Epoch[7] Batch [4000] Speed: 10.45 samples/sec Train-Accuracy=0.817143
2016-09-26 13:55:26,845 Epoch[7] Batch [4050] Speed: 10.69 samples/sec Train-Accuracy=0.818571
2016-09-26 13:56:03,704 Epoch[7] Batch [4100] Speed: 10.85 samples/sec Train-Accuracy=0.831429
2016-09-26 13:56:41,935 Epoch[7] Batch [4150] Speed: 10.46 samples/sec Train-Accuracy=0.810000
2016-09-26 13:57:19,997 Epoch[7] Batch [4200] Speed: 10.51 samples/sec Train-Accuracy=0.842857
2016-09-26 13:58:01,890 Epoch[7] Batch [4250] Speed: 9.55 samples/sec Train-Accuracy=0.845714
2016-09-26 13:58:41,436 Epoch[7] Batch [4300] Speed: 10.12 samples/sec Train-Accuracy=0.832857
2016-09-26 13:59:19,968 Epoch[7] Batch [4350] Speed: 10.38 samples/sec Train-Accuracy=0.830000
2016-09-26 13:59:56,580 Epoch[7] Batch [4400] Speed: 10.93 samples/sec Train-Accuracy=0.825714
2016-09-26 14:00:34,195 Epoch[7] Batch [4450] Speed: 10.63 samples/sec Train-Accuracy=0.841429
2016-09-26 14:01:12,509 Epoch[7] Batch [4500] Speed: 10.44 samples/sec Train-Accuracy=0.802857
2016-09-26 14:01:50,854 Epoch[7] Batch [4550] Speed: 10.43 samples/sec Train-Accuracy=0.848571
2016-09-26 14:02:27,894 Epoch[7] Batch [4600] Speed: 10.80 samples/sec Train-Accuracy=0.842857
2016-09-26 14:03:05,562 Epoch[7] Batch [4650] Speed: 10.62 samples/sec Train-Accuracy=0.851429
2016-09-26 14:03:42,723 Epoch[7] Batch [4700] Speed: 10.76 samples/sec Train-Accuracy=0.805714
2016-09-26 14:04:20,483 Epoch[7] Batch [4750] Speed: 10.59 samples/sec Train-Accuracy=0.831429
2016-09-26 14:04:58,353 Epoch[7] Batch [4800] Speed: 10.56 samples/sec Train-Accuracy=0.824286
2016-09-26 14:05:36,095 Epoch[7] Batch [4850] Speed: 10.60 samples/sec Train-Accuracy=0.784286
2016-09-26 14:06:12,706 Epoch[7] Batch [4900] Speed: 10.93 samples/sec Train-Accuracy=0.847143
2016-09-26 14:06:48,786 Epoch[7] Batch [4950] Speed: 11.09 samples/sec Train-Accuracy=0.838571
2016-09-26 14:07:24,855 Epoch[7] Batch [5000] Speed: 11.09 samples/sec Train-Accuracy=0.845714
2016-09-26 14:08:02,597 Epoch[7] Batch [5050] Speed: 10.60 samples/sec Train-Accuracy=0.812857
2016-09-26 14:08:42,390 Epoch[7] Batch [5100] Speed: 10.05 samples/sec Train-Accuracy=0.810000
2016-09-26 14:09:18,861 Epoch[7] Batch [5150] Speed: 10.97 samples/sec Train-Accuracy=0.841429
2016-09-26 14:09:54,879 Epoch[7] Batch [5200] Speed: 11.11 samples/sec Train-Accuracy=0.770000
2016-09-26 14:10:30,987 Epoch[7] Batch [5250] Speed: 11.08 samples/sec Train-Accuracy=0.857143
2016-09-26 14:11:07,108 Epoch[7] Batch [5300] Speed: 11.07 samples/sec Train-Accuracy=0.812857
2016-09-26 14:11:43,541 Epoch[7] Batch [5350] Speed: 10.98 samples/sec Train-Accuracy=0.837143
2016-09-26 14:12:19,625 Epoch[7] Batch [5400] Speed: 11.09 samples/sec Train-Accuracy=0.810000
2016-09-26 14:12:55,777 Epoch[7] Batch [5450] Speed: 11.06 samples/sec Train-Accuracy=0.848571
2016-09-26 14:13:31,904 Epoch[7] Batch [5500] Speed: 11.07 samples/sec Train-Accuracy=0.847143
2016-09-26 14:14:08,045 Epoch[7] Batch [5550] Speed: 11.07 samples/sec Train-Accuracy=0.840000
2016-09-26 14:14:44,168 Epoch[7] Batch [5600] Speed: 11.07 samples/sec Train-Accuracy=0.845714
2016-09-26 14:15:20,315 Epoch[7] Batch [5650] Speed: 11.07 samples/sec Train-Accuracy=0.820000
2016-09-26 14:15:56,536 Epoch[7] Batch [5700] Speed: 11.04 samples/sec Train-Accuracy=0.838571
2016-09-26 14:16:32,752 Epoch[7] Batch [5750] Speed: 11.04 samples/sec Train-Accuracy=0.821429
2016-09-26 14:17:09,284 Epoch[7] Batch [5800] Speed: 10.95 samples/sec Train-Accuracy=0.827143
2016-09-26 14:17:45,642 Epoch[7] Batch [5850] Speed: 11.00 samples/sec Train-Accuracy=0.867143
2016-09-26 14:18:21,841 Epoch[7] Batch [5900] Speed: 11.05 samples/sec Train-Accuracy=0.827143
2016-09-26 14:18:58,058 Epoch[7] Batch [5950] Speed: 11.04 samples/sec Train-Accuracy=0.825714
2016-09-26 14:19:35,695 Epoch[7] Batch [6000] Speed: 10.63 samples/sec Train-Accuracy=0.852857
2016-09-26 14:20:12,421 Epoch[7] Batch [6050] Speed: 10.89 samples/sec Train-Accuracy=0.831429
2016-09-26 14:20:48,972 Epoch[7] Batch [6100] Speed: 10.94 samples/sec Train-Accuracy=0.801429
2016-09-26 14:21:25,270 Epoch[7] Batch [6150] Speed: 11.02 samples/sec Train-Accuracy=0.807143
2016-09-26 14:22:01,600 Epoch[7] Batch [6200] Speed: 11.01 samples/sec Train-Accuracy=0.840000
2016-09-26 14:22:40,659 Epoch[7] Batch [6250] Speed: 10.24 samples/sec Train-Accuracy=0.792857
2016-09-26 14:23:16,770 Epoch[7] Batch [6300] Speed: 11.08 samples/sec Train-Accuracy=0.832857
2016-09-26 14:23:53,169 Epoch[7] Batch [6350] Speed: 10.99 samples/sec Train-Accuracy=0.834286
2016-09-26 14:24:29,424 Epoch[7] Batch [6400] Speed: 11.03 samples/sec Train-Accuracy=0.835714
2016-09-26 14:25:05,652 Epoch[7] Batch [6450] Speed: 11.04 samples/sec Train-Accuracy=0.844286
2016-09-26 14:25:41,623 Epoch[7] Batch [6500] Speed: 11.12 samples/sec Train-Accuracy=0.848571
2016-09-26 14:26:17,932 Epoch[7] Batch [6550] Speed: 11.02 samples/sec Train-Accuracy=0.825714
2016-09-26 14:26:54,450 Epoch[7] Batch [6600] Speed: 10.95 samples/sec Train-Accuracy=0.855714
2016-09-26 14:27:31,735 Epoch[7] Batch [6650] Speed: 10.73 samples/sec Train-Accuracy=0.812857
2016-09-26 14:28:09,070 Epoch[7] Batch [6700] Speed: 10.71 samples/sec Train-Accuracy=0.830000
2016-09-26 14:28:46,366 Epoch[7] Batch [6750] Speed: 10.73 samples/sec Train-Accuracy=0.825714
2016-09-26 14:29:23,710 Epoch[7] Batch [6800] Speed: 10.71 samples/sec Train-Accuracy=0.847143
2016-09-26 14:30:01,300 Epoch[7] Batch [6850] Speed: 10.64 samples/sec Train-Accuracy=0.811429
2016-09-26 14:30:38,553 Epoch[7] Batch [6900] Speed: 10.74 samples/sec Train-Accuracy=0.848571
2016-09-26 14:31:16,244 Epoch[7] Batch [6950] Speed: 10.61 samples/sec Train-Accuracy=0.805714
2016-09-26 14:31:53,941 Epoch[7] Batch [7000] Speed: 10.61 samples/sec Train-Accuracy=0.815714
2016-09-26 14:32:31,498 Epoch[7] Batch [7050] Speed: 10.65 samples/sec Train-Accuracy=0.842857
2016-09-26 14:33:10,910 Epoch[7] Batch [7100] Speed: 10.15 samples/sec Train-Accuracy=0.830000
2016-09-26 14:33:51,254 Epoch[7] Batch [7150] Speed: 9.91 samples/sec Train-Accuracy=0.845714
2016-09-26 14:34:29,978 Epoch[7] Batch [7200] Speed: 10.33 samples/sec Train-Accuracy=0.841429
2016-09-26 14:35:06,991 Epoch[7] Batch [7250] Speed: 10.81 samples/sec Train-Accuracy=0.845714
2016-09-26 14:35:44,385 Epoch[7] Batch [7300] Speed: 10.70 samples/sec Train-Accuracy=0.832857
2016-09-26 14:36:24,214 Epoch[7] Batch [7350] Speed: 10.04 samples/sec Train-Accuracy=0.825714
2016-09-26 14:37:02,964 Epoch[7] Batch [7400] Speed: 10.32 samples/sec Train-Accuracy=0.815714
2016-09-26 14:37:41,065 Epoch[7] Batch [7450] Speed: 10.50 samples/sec Train-Accuracy=0.832857
2016-09-26 14:38:19,058 Epoch[7] Batch [7500] Speed: 10.53 samples/sec Train-Accuracy=0.811429
2016-09-26 14:38:57,463 Epoch[7] Batch [7550] Speed: 10.42 samples/sec Train-Accuracy=0.840000
2016-09-26 14:39:35,303 Epoch[7] Batch [7600] Speed: 10.57 samples/sec Train-Accuracy=0.798571
2016-09-26 14:40:13,163 Epoch[7] Batch [7650] Speed: 10.57 samples/sec Train-Accuracy=0.811429
2016-09-26 14:40:53,668 Epoch[7] Batch [7700] Speed: 9.88 samples/sec Train-Accuracy=0.838571
2016-09-26 14:41:30,537 Epoch[7] Batch [7750] Speed: 10.85 samples/sec Train-Accuracy=0.827143
2016-09-26 14:42:07,187 Epoch[7] Batch [7800] Speed: 10.91 samples/sec Train-Accuracy=0.811429
2016-09-26 14:42:43,718 Epoch[7] Batch [7850] Speed: 10.95 samples/sec Train-Accuracy=0.798571
2016-09-26 14:43:20,388 Epoch[7] Batch [7900] Speed: 10.91 samples/sec Train-Accuracy=0.825714
2016-09-26 14:43:57,150 Epoch[7] Batch [7950] Speed: 10.88 samples/sec Train-Accuracy=0.840000
2016-09-26 14:44:33,549 Epoch[7] Batch [8000] Speed: 10.99 samples/sec Train-Accuracy=0.807143
2016-09-26 14:45:10,106 Epoch[7] Batch [8050] Speed: 10.94 samples/sec Train-Accuracy=0.825714
2016-09-26 14:45:46,846 Epoch[7] Batch [8100] Speed: 10.89 samples/sec Train-Accuracy=0.805714
2016-09-26 14:46:23,585 Epoch[7] Batch [8150] Speed: 10.89 samples/sec Train-Accuracy=0.811429
2016-09-26 14:47:00,426 Epoch[7] Batch [8200] Speed: 10.86 samples/sec Train-Accuracy=0.807143
2016-09-26 14:47:37,322 Epoch[7] Batch [8250] Speed: 10.84 samples/sec Train-Accuracy=0.830000
2016-09-26 14:48:14,304 Epoch[7] Batch [8300] Speed: 10.82 samples/sec Train-Accuracy=0.824286
2016-09-26 14:48:55,094 Epoch[7] Batch [8350] Speed: 9.81 samples/sec Train-Accuracy=0.810000
2016-09-26 14:49:32,800 Epoch[7] Batch [8400] Speed: 10.61 samples/sec Train-Accuracy=0.814286
2016-09-26 14:50:09,932 Epoch[7] Batch [8450] Speed: 10.77 samples/sec Train-Accuracy=0.835714
2016-09-26 14:50:47,136 Epoch[7] Batch [8500] Speed: 10.75 samples/sec Train-Accuracy=0.832857
2016-09-26 14:51:24,975 Epoch[7] Batch [8550] Speed: 10.57 samples/sec Train-Accuracy=0.818571
2016-09-26 14:52:03,501 Epoch[7] Batch [8600] Speed: 10.38 samples/sec Train-Accuracy=0.840000
2016-09-26 14:52:41,726 Epoch[7] Batch [8650] Speed: 10.46 samples/sec Train-Accuracy=0.808571
2016-09-26 14:53:19,990 Epoch[7] Batch [8700] Speed: 10.45 samples/sec Train-Accuracy=0.817143
2016-09-26 14:53:58,606 Epoch[7] Batch [8750] Speed: 10.36 samples/sec Train-Accuracy=0.811429
2016-09-26 14:54:37,189 Epoch[7] Batch [8800] Speed: 10.37 samples/sec Train-Accuracy=0.827143
2016-09-26 14:55:15,024 Epoch[7] Batch [8850] Speed: 10.57 samples/sec Train-Accuracy=0.815714
2016-09-26 14:55:53,127 Epoch[7] Batch [8900] Speed: 10.50 samples/sec Train-Accuracy=0.830000
2016-09-26 14:56:31,616 Epoch[7] Batch [8950] Speed: 10.39 samples/sec Train-Accuracy=0.845714
2016-09-26 14:57:10,380 Epoch[7] Batch [9000] Speed: 10.32 samples/sec Train-Accuracy=0.825714
2016-09-26 14:57:49,056 Epoch[7] Batch [9050] Speed: 10.34 samples/sec Train-Accuracy=0.838571
2016-09-26 14:58:27,238 Epoch[7] Batch [9100] Speed: 10.48 samples/sec Train-Accuracy=0.834286
2016-09-26 14:59:05,805 Epoch[7] Batch [9150] Speed: 10.37 samples/sec Train-Accuracy=0.824286
2016-09-26 14:59:44,659 Epoch[7] Batch [9200] Speed: 10.30 samples/sec Train-Accuracy=0.835714
2016-09-26 15:00:23,457 Epoch[7] Batch [9250] Speed: 10.31 samples/sec Train-Accuracy=0.815714
2016-09-26 15:01:00,805 Epoch[7] Batch [9300] Speed: 10.71 samples/sec Train-Accuracy=0.807143
2016-09-26 15:01:37,648 Epoch[7] Batch [9350] Speed: 10.86 samples/sec Train-Accuracy=0.860000
2016-09-26 15:02:14,592 Epoch[7] Batch [9400] Speed: 10.83 samples/sec Train-Accuracy=0.824286
2016-09-26 15:02:51,579 Epoch[7] Batch [9450] Speed: 10.81 samples/sec Train-Accuracy=0.798571
2016-09-26 15:03:28,545 Epoch[7] Batch [9500] Speed: 10.82 samples/sec Train-Accuracy=0.808571
2016-09-26 15:04:05,451 Epoch[7] Batch [9550] Speed: 10.84 samples/sec Train-Accuracy=0.842857
2016-09-26 15:04:45,170 Epoch[7] Batch [9600] Speed: 10.07 samples/sec Train-Accuracy=0.855714
2016-09-26 15:05:26,892 Epoch[7] Batch [9650] Speed: 9.59 samples/sec Train-Accuracy=0.808571
2016-09-26 15:06:06,479 Epoch[7] Batch [9700] Speed: 10.10 samples/sec Train-Accuracy=0.811429
2016-09-26 15:06:43,406 Epoch[7] Batch [9750] Speed: 10.83 samples/sec Train-Accuracy=0.822857
2016-09-26 15:07:20,213 Epoch[7] Batch [9800] Speed: 10.87 samples/sec Train-Accuracy=0.842857
2016-09-26 15:07:57,107 Epoch[7] Batch [9850] Speed: 10.84 samples/sec Train-Accuracy=0.854286
2016-09-26 15:08:34,036 Epoch[7] Batch [9900] Speed: 10.83 samples/sec Train-Accuracy=0.807143
2016-09-26 15:09:11,157 Epoch[7] Batch [9950] Speed: 10.78 samples/sec Train-Accuracy=0.822857
2016-09-26 15:09:48,086 Epoch[7] Batch [10000] Speed: 10.83 samples/sec Train-Accuracy=0.831429
2016-09-26 15:10:25,160 Epoch[7] Batch [10050] Speed: 10.79 samples/sec Train-Accuracy=0.858571
2016-09-26 15:11:02,340 Epoch[7] Batch [10100] Speed: 10.76 samples/sec Train-Accuracy=0.830000
2016-09-26 15:11:39,611 Epoch[7] Batch [10150] Speed: 10.73 samples/sec Train-Accuracy=0.812857
2016-09-26 15:12:16,720 Epoch[7] Batch [10200] Speed: 10.78 samples/sec Train-Accuracy=0.857143
2016-09-26 15:12:53,803 Epoch[7] Batch [10250] Speed: 10.79 samples/sec Train-Accuracy=0.841429
2016-09-26 15:13:31,013 Epoch[7] Batch [10300] Speed: 10.75 samples/sec Train-Accuracy=0.840000
2016-09-26 15:14:08,097 Epoch[7] Batch [10350] Speed: 10.79 samples/sec Train-Accuracy=0.825714
2016-09-26 15:14:45,313 Epoch[7] Batch [10400] Speed: 10.75 samples/sec Train-Accuracy=0.837143
2016-09-26 15:15:22,625 Epoch[7] Batch [10450] Speed: 10.72 samples/sec Train-Accuracy=0.834286
2016-09-26 15:16:00,376 Epoch[7] Batch [10500] Speed: 10.60 samples/sec Train-Accuracy=0.834286
2016-09-26 15:16:37,738 Epoch[7] Batch [10550] Speed: 10.71 samples/sec Train-Accuracy=0.822857
2016-09-26 15:17:16,575 Epoch[7] Batch [10600] Speed: 10.30 samples/sec Train-Accuracy=0.817143
2016-09-26 15:17:53,871 Epoch[7] Batch [10650] Speed: 10.73 samples/sec Train-Accuracy=0.835714
2016-09-26 15:18:34,902 Epoch[7] Batch [10700] Speed: 9.75 samples/sec Train-Accuracy=0.800000
2016-09-26 15:19:16,604 Epoch[7] Batch [10750] Speed: 9.59 samples/sec Train-Accuracy=0.840000
2016-09-26 15:19:53,872 Epoch[7] Batch [10800] Speed: 10.73 samples/sec Train-Accuracy=0.832857
2016-09-26 15:20:31,461 Epoch[7] Batch [10850] Speed: 10.64 samples/sec Train-Accuracy=0.801429
2016-09-26 15:21:08,985 Epoch[7] Batch [10900] Speed: 10.66 samples/sec Train-Accuracy=0.827143
2016-09-26 15:21:46,432 Epoch[7] Batch [10950] Speed: 10.68 samples/sec Train-Accuracy=0.851429
2016-09-26 15:22:23,836 Epoch[7] Batch [11000] Speed: 10.69 samples/sec Train-Accuracy=0.817143
2016-09-26 15:23:01,089 Epoch[7] Batch [11050] Speed: 10.74 samples/sec Train-Accuracy=0.840000
2016-09-26 15:23:38,350 Epoch[7] Batch [11100] Speed: 10.74 samples/sec Train-Accuracy=0.808571
2016-09-26 15:24:15,533 Epoch[7] Batch [11150] Speed: 10.76 samples/sec Train-Accuracy=0.847143
2016-09-26 15:24:52,878 Epoch[7] Batch [11200] Speed: 10.71 samples/sec Train-Accuracy=0.868571
2016-09-26 15:25:32,781 Epoch[7] Batch [11250] Speed: 10.02 samples/sec Train-Accuracy=0.797143
2016-09-26 15:26:12,001 Epoch[7] Batch [11300] Speed: 10.20 samples/sec Train-Accuracy=0.844286
2016-09-26 15:26:51,817 Epoch[7] Batch [11350] Speed: 10.05 samples/sec Train-Accuracy=0.847143
2016-09-26 15:27:30,973 Epoch[7] Batch [11400] Speed: 10.22 samples/sec Train-Accuracy=0.821429
2016-09-26 15:28:13,286 Epoch[7] Batch [11450] Speed: 9.45 samples/sec Train-Accuracy=0.842857
2016-09-26 15:28:56,609 Epoch[7] Batch [11500] Speed: 9.23 samples/sec Train-Accuracy=0.860000
2016-09-26 15:29:35,949 Epoch[7] Batch [11550] Speed: 10.17 samples/sec Train-Accuracy=0.852857
2016-09-26 15:30:14,441 Epoch[7] Batch [11600] Speed: 10.39 samples/sec Train-Accuracy=0.795714
2016-09-26 15:30:52,594 Epoch[7] Batch [11650] Speed: 10.48 samples/sec Train-Accuracy=0.854286
2016-09-26 15:31:31,520 Epoch[7] Batch [11700] Speed: 10.28 samples/sec Train-Accuracy=0.850000
2016-09-26 15:32:10,348 Epoch[7] Batch [11750] Speed: 10.30 samples/sec Train-Accuracy=0.838571
2016-09-26 15:32:47,605 Epoch[7] Batch [11800] Speed: 10.74 samples/sec Train-Accuracy=0.837143
2016-09-26 15:33:24,860 Epoch[7] Batch [11850] Speed: 10.74 samples/sec Train-Accuracy=0.814286
2016-09-26 15:34:02,095 Epoch[7] Batch [11900] Speed: 10.74 samples/sec Train-Accuracy=0.840000
2016-09-26 15:34:39,424 Epoch[7] Batch [11950] Speed: 10.72 samples/sec Train-Accuracy=0.807143
2016-09-26 15:35:17,345 Epoch[7] Batch [12000] Speed: 10.55 samples/sec Train-Accuracy=0.817143
2016-09-26 15:35:56,291 Epoch[7] Batch [12050] Speed: 10.27 samples/sec Train-Accuracy=0.797143
2016-09-26 15:36:35,354 Epoch[7] Batch [12100] Speed: 10.24 samples/sec Train-Accuracy=0.817143
2016-09-26 15:37:13,811 Epoch[7] Batch [12150] Speed: 10.40 samples/sec Train-Accuracy=0.825714
2016-09-26 15:37:51,346 Epoch[7] Batch [12200] Speed: 10.66 samples/sec Train-Accuracy=0.805714
2016-09-26 15:38:29,020 Epoch[7] Batch [12250] Speed: 10.62 samples/sec Train-Accuracy=0.837143
2016-09-26 15:39:06,595 Epoch[7] Batch [12300] Speed: 10.65 samples/sec Train-Accuracy=0.825714
2016-09-26 15:39:44,207 Epoch[7] Batch [12350] Speed: 10.63 samples/sec Train-Accuracy=0.822857
2016-09-26 15:40:21,760 Epoch[7] Batch [12400] Speed: 10.65 samples/sec Train-Accuracy=0.838571
2016-09-26 15:40:59,843 Epoch[7] Batch [12450] Speed: 10.50 samples/sec Train-Accuracy=0.795714
2016-09-26 15:41:37,887 Epoch[7] Batch [12500] Speed: 10.51 samples/sec Train-Accuracy=0.838571
2016-09-26 15:42:16,151 Epoch[7] Batch [12550] Speed: 10.45 samples/sec Train-Accuracy=0.845714
2016-09-26 15:42:54,348 Epoch[7] Batch [12600] Speed: 10.47 samples/sec Train-Accuracy=0.831429
2016-09-26 15:43:32,604 Epoch[7] Batch [12650] Speed: 10.46 samples/sec Train-Accuracy=0.824286
2016-09-26 15:44:10,009 Epoch[7] Batch [12700] Speed: 10.69 samples/sec Train-Accuracy=0.844286
2016-09-26 15:44:47,571 Epoch[7] Batch [12750] Speed: 10.65 samples/sec Train-Accuracy=0.824286
2016-09-26 15:45:27,189 Epoch[7] Batch [12800] Speed: 10.10 samples/sec Train-Accuracy=0.835714
2016-09-26 15:46:04,384 Epoch[7] Batch [12850] Speed: 10.75 samples/sec Train-Accuracy=0.855714
2016-09-26 15:46:42,412 Epoch[7] Batch [12900] Speed: 10.52 samples/sec Train-Accuracy=0.811429
2016-09-26 15:47:21,830 Epoch[7] Batch [12950] Speed: 10.15 samples/sec Train-Accuracy=0.815714
2016-09-26 15:48:00,217 Epoch[7] Batch [13000] Speed: 10.42 samples/sec Train-Accuracy=0.828571
2016-09-26 15:48:42,808 Epoch[7] Batch [13050] Speed: 9.39 samples/sec Train-Accuracy=0.825714
2016-09-26 15:49:23,881 Epoch[7] Batch [13100] Speed: 9.74 samples/sec Train-Accuracy=0.832857
2016-09-26 15:50:05,585 Epoch[7] Batch [13150] Speed: 9.59 samples/sec Train-Accuracy=0.811429
2016-09-26 15:50:43,396 Epoch[7] Batch [13200] Speed: 10.58 samples/sec Train-Accuracy=0.855714
2016-09-26 15:51:19,941 Epoch[7] Batch [13250] Speed: 10.95 samples/sec Train-Accuracy=0.825714
2016-09-26 15:51:56,541 Epoch[7] Batch [13300] Speed: 10.93 samples/sec Train-Accuracy=0.831429
2016-09-26 15:52:33,862 Epoch[7] Batch [13350] Speed: 10.72 samples/sec Train-Accuracy=0.810000
2016-09-26 15:53:10,559 Epoch[7] Batch [13400] Speed: 10.90 samples/sec Train-Accuracy=0.820000
2016-09-26 15:53:47,301 Epoch[7] Batch [13450] Speed: 10.89 samples/sec Train-Accuracy=0.838571
2016-09-26 15:54:23,858 Epoch[7] Batch [13500] Speed: 10.94 samples/sec Train-Accuracy=0.821429
2016-09-26 15:55:00,406 Epoch[7] Batch [13550] Speed: 10.94 samples/sec Train-Accuracy=0.790000
2016-09-26 15:55:37,375 Epoch[7] Batch [13600] Speed: 10.82 samples/sec Train-Accuracy=0.847143
2016-09-26 15:56:14,269 Epoch[7] Batch [13650] Speed: 10.84 samples/sec Train-Accuracy=0.835714
2016-09-26 15:56:50,855 Epoch[7] Batch [13700] Speed: 10.93 samples/sec Train-Accuracy=0.828571
2016-09-26 15:57:27,613 Epoch[7] Batch [13750] Speed: 10.88 samples/sec Train-Accuracy=0.832857
2016-09-26 15:58:04,248 Epoch[7] Batch [13800] Speed: 10.92 samples/sec Train-Accuracy=0.820000
2016-09-26 15:58:41,010 Epoch[7] Batch [13850] Speed: 10.88 samples/sec Train-Accuracy=0.852857
2016-09-26 15:59:18,003 Epoch[7] Batch [13900] Speed: 10.81 samples/sec Train-Accuracy=0.837143
2016-09-26 15:59:56,559 Epoch[7] Batch [13950] Speed: 10.37 samples/sec Train-Accuracy=0.811429
2016-09-26 16:00:33,246 Epoch[7] Batch [14000] Speed: 10.90 samples/sec Train-Accuracy=0.854286
2016-09-26 16:01:10,268 Epoch[7] Batch [14050] Speed: 10.80 samples/sec Train-Accuracy=0.830000
2016-09-26 16:01:47,019 Epoch[7] Batch [14100] Speed: 10.88 samples/sec Train-Accuracy=0.814286
2016-09-26 16:02:24,058 Epoch[7] Batch [14150] Speed: 10.80 samples/sec Train-Accuracy=0.830000
2016-09-26 16:03:02,105 Epoch[7] Batch [14200] Speed: 10.51 samples/sec Train-Accuracy=0.820000
2016-09-26 16:03:39,150 Epoch[7] Batch [14250] Speed: 10.80 samples/sec Train-Accuracy=0.845714
2016-09-26 16:04:16,275 Epoch[7] Batch [14300] Speed: 10.77 samples/sec Train-Accuracy=0.834286
2016-09-26 16:04:53,683 Epoch[7] Batch [14350] Speed: 10.69 samples/sec Train-Accuracy=0.828571
2016-09-26 16:05:30,909 Epoch[7] Batch [14400] Speed: 10.75 samples/sec Train-Accuracy=0.835714
2016-09-26 16:06:07,707 Epoch[7] Batch [14450] Speed: 10.87 samples/sec Train-Accuracy=0.834286
2016-09-26 16:06:44,951 Epoch[7] Batch [14500] Speed: 10.74 samples/sec Train-Accuracy=0.820000
2016-09-26 16:07:21,903 Epoch[7] Batch [14550] Speed: 10.82 samples/sec Train-Accuracy=0.857143
2016-09-26 16:07:58,776 Epoch[7] Batch [14600] Speed: 10.85 samples/sec Train-Accuracy=0.828571
2016-09-26 16:08:35,814 Epoch[7] Batch [14650] Speed: 10.80 samples/sec Train-Accuracy=0.834286
2016-09-26 16:09:12,769 Epoch[7] Batch [14700] Speed: 10.82 samples/sec Train-Accuracy=0.844286
2016-09-26 16:09:49,678 Epoch[7] Batch [14750] Speed: 10.84 samples/sec Train-Accuracy=0.805714
2016-09-26 16:10:26,315 Epoch[7] Batch [14800] Speed: 10.92 samples/sec Train-Accuracy=0.814286
2016-09-26 16:11:03,107 Epoch[7] Batch [14850] Speed: 10.87 samples/sec Train-Accuracy=0.862857
2016-09-26 16:11:40,120 Epoch[7] Batch [14900] Speed: 10.81 samples/sec Train-Accuracy=0.827143
2016-09-26 16:12:18,131 Epoch[7] Batch [14950] Speed: 10.52 samples/sec Train-Accuracy=0.821429
2016-09-26 16:12:55,502 Epoch[7] Batch [15000] Speed: 10.70 samples/sec Train-Accuracy=0.822857
2016-09-26 16:13:33,101 Epoch[7] Batch [15050] Speed: 10.64 samples/sec Train-Accuracy=0.822857
2016-09-26 16:14:10,442 Epoch[7] Batch [15100] Speed: 10.71 samples/sec Train-Accuracy=0.827143
2016-09-26 16:14:47,674 Epoch[7] Batch [15150] Speed: 10.74 samples/sec Train-Accuracy=0.844286
2016-09-26 16:15:25,455 Epoch[7] Batch [15200] Speed: 10.59 samples/sec Train-Accuracy=0.834286
2016-09-26 16:16:02,967 Epoch[7] Batch [15250] Speed: 10.66 samples/sec Train-Accuracy=0.858571
2016-09-26 16:16:40,130 Epoch[7] Batch [15300] Speed: 10.76 samples/sec Train-Accuracy=0.828571
2016-09-26 16:17:17,436 Epoch[7] Batch [15350] Speed: 10.72 samples/sec Train-Accuracy=0.845714
2016-09-26 16:17:54,590 Epoch[7] Batch [15400] Speed: 10.77 samples/sec Train-Accuracy=0.840000
2016-09-26 16:18:31,746 Epoch[7] Batch [15450] Speed: 10.77 samples/sec Train-Accuracy=0.828571
2016-09-26 16:19:08,952 Epoch[7] Batch [15500] Speed: 10.75 samples/sec Train-Accuracy=0.814286
2016-09-26 16:19:46,184 Epoch[7] Batch [15550] Speed: 10.74 samples/sec Train-Accuracy=0.822857
2016-09-26 16:20:23,252 Epoch[7] Batch [15600] Speed: 10.79 samples/sec Train-Accuracy=0.792857
2016-09-26 16:21:01,400 Epoch[7] Batch [15650] Speed: 10.49 samples/sec Train-Accuracy=0.834286
2016-09-26 16:21:39,063 Epoch[7] Batch [15700] Speed: 10.62 samples/sec Train-Accuracy=0.848571
2016-09-26 16:22:16,146 Epoch[7] Batch [15750] Speed: 10.79 samples/sec Train-Accuracy=0.824286
2016-09-26 16:22:54,726 Epoch[7] Batch [15800] Speed: 10.37 samples/sec Train-Accuracy=0.788571
2016-09-26 16:23:32,318 Epoch[7] Batch [15850] Speed: 10.64 samples/sec Train-Accuracy=0.808571
2016-09-26 16:24:10,099 Epoch[7] Batch [15900] Speed: 10.59 samples/sec Train-Accuracy=0.802857
2016-09-26 16:24:47,047 Epoch[7] Batch [15950] Speed: 10.83 samples/sec Train-Accuracy=0.837143
2016-09-26 16:25:24,127 Epoch[7] Batch [16000] Speed: 10.79 samples/sec Train-Accuracy=0.802857
2016-09-26 16:26:01,051 Epoch[7] Batch [16050] Speed: 10.83 samples/sec Train-Accuracy=0.832857
2016-09-26 16:26:37,898 Epoch[7] Batch [16100] Speed: 10.86 samples/sec Train-Accuracy=0.834286
2016-09-26 16:27:17,454 Epoch[7] Batch [16150] Speed: 10.11 samples/sec Train-Accuracy=0.830000
2016-09-26 16:27:59,122 Epoch[7] Batch [16200] Speed: 9.60 samples/sec Train-Accuracy=0.857143
2016-09-26 16:28:37,711 Epoch[7] Batch [16250] Speed: 10.37 samples/sec Train-Accuracy=0.822857
2016-09-26 16:29:14,642 Epoch[7] Batch [16300] Speed: 10.83 samples/sec Train-Accuracy=0.824286
2016-09-26 16:29:51,453 Epoch[7] Batch [16350] Speed: 10.87 samples/sec Train-Accuracy=0.848571
2016-09-26 16:30:28,187 Epoch[7] Batch [16400] Speed: 10.89 samples/sec Train-Accuracy=0.847143
2016-09-26 16:31:04,948 Epoch[7] Batch [16450] Speed: 10.88 samples/sec Train-Accuracy=0.805714
2016-09-26 16:31:41,779 Epoch[7] Batch [16500] Speed: 10.86 samples/sec Train-Accuracy=0.847143
2016-09-26 16:32:18,590 Epoch[7] Batch [16550] Speed: 10.87 samples/sec Train-Accuracy=0.830000
2016-09-26 16:32:55,682 Epoch[7] Batch [16600] Speed: 10.78 samples/sec Train-Accuracy=0.825714
2016-09-26 16:33:37,062 Epoch[7] Batch [16650] Speed: 9.67 samples/sec Train-Accuracy=0.830000
2016-09-26 16:34:19,565 Epoch[7] Batch [16700] Speed: 9.41 samples/sec Train-Accuracy=0.808571
2016-09-26 16:35:01,760 Epoch[7] Batch [16750] Speed: 9.48 samples/sec Train-Accuracy=0.827143
2016-09-26 16:35:39,943 Epoch[7] Batch [16800] Speed: 10.48 samples/sec Train-Accuracy=0.804286
2016-09-26 16:36:16,738 Epoch[7] Batch [16850] Speed: 10.87 samples/sec Train-Accuracy=0.842857
2016-09-26 16:36:58,095 Epoch[7] Batch [16900] Speed: 9.67 samples/sec Train-Accuracy=0.831429
2016-09-26 16:37:36,767 Epoch[7] Batch [16950] Speed: 10.34 samples/sec Train-Accuracy=0.808571
2016-09-26 16:38:15,600 Epoch[7] Batch [17000] Speed: 10.30 samples/sec Train-Accuracy=0.817143
2016-09-26 16:38:53,908 Epoch[7] Batch [17050] Speed: 10.44 samples/sec Train-Accuracy=0.841429
2016-09-26 16:39:31,586 Epoch[7] Batch [17100] Speed: 10.62 samples/sec Train-Accuracy=0.825714
2016-09-26 16:40:08,919 Epoch[7] Batch [17150] Speed: 10.71 samples/sec Train-Accuracy=0.847143
2016-09-26 16:40:46,573 Epoch[7] Batch [17200] Speed: 10.62 samples/sec Train-Accuracy=0.870000
2016-09-26 16:41:24,148 Epoch[7] Batch [17250] Speed: 10.65 samples/sec Train-Accuracy=0.840000
2016-09-26 16:42:01,083 Epoch[7] Batch [17300] Speed: 10.83 samples/sec Train-Accuracy=0.838571
2016-09-26 16:42:37,243 Epoch[7] Batch [17350] Speed: 11.06 samples/sec Train-Accuracy=0.822857
2016-09-26 16:43:13,586 Epoch[7] Batch [17400] Speed: 11.01 samples/sec Train-Accuracy=0.861429
2016-09-26 16:43:49,752 Epoch[7] Batch [17450] Speed: 11.06 samples/sec Train-Accuracy=0.830000
2016-09-26 16:44:26,709 Epoch[7] Batch [17500] Speed: 10.82 samples/sec Train-Accuracy=0.782857
2016-09-26 16:45:04,104 Epoch[7] Batch [17550] Speed: 10.70 samples/sec Train-Accuracy=0.794286
2016-09-26 16:45:41,676 Epoch[7] Batch [17600] Speed: 10.65 samples/sec Train-Accuracy=0.812857
2016-09-26 16:46:19,486 Epoch[7] Batch [17650] Speed: 10.58 samples/sec Train-Accuracy=0.827143
2016-09-26 16:46:58,203 Epoch[7] Batch [17700] Speed: 10.33 samples/sec Train-Accuracy=0.820000
2016-09-26 16:47:38,955 Epoch[7] Batch [17750] Speed: 9.82 samples/sec Train-Accuracy=0.848571
2016-09-26 16:48:16,811 Epoch[7] Batch [17800] Speed: 10.57 samples/sec Train-Accuracy=0.818571
2016-09-26 16:48:54,560 Epoch[7] Batch [17850] Speed: 10.60 samples/sec Train-Accuracy=0.828571
2016-09-26 16:49:35,135 Epoch[7] Batch [17900] Speed: 9.86 samples/sec Train-Accuracy=0.828571
2016-09-26 16:50:11,408 Epoch[7] Batch [17950] Speed: 11.03 samples/sec Train-Accuracy=0.830000
2016-09-26 16:50:47,717 Epoch[7] Batch [18000] Speed: 11.02 samples/sec Train-Accuracy=0.820000
2016-09-26 16:51:24,039 Epoch[7] Batch [18050] Speed: 11.01 samples/sec Train-Accuracy=0.840000
2016-09-26 16:51:59,961 Epoch[7] Batch [18100] Speed: 11.14 samples/sec Train-Accuracy=0.817143
2016-09-26 16:52:35,955 Epoch[7] Batch [18150] Speed: 11.11 samples/sec Train-Accuracy=0.827143
2016-09-26 16:53:11,939 Epoch[7] Batch [18200] Speed: 11.12 samples/sec Train-Accuracy=0.792857
2016-09-26 16:53:47,885 Epoch[7] Batch [18250] Speed: 11.13 samples/sec Train-Accuracy=0.805714
2016-09-26 16:54:23,821 Epoch[7] Batch [18300] Speed: 11.13 samples/sec Train-Accuracy=0.818571
2016-09-26 16:54:59,716 Epoch[7] Batch [18350] Speed: 11.14 samples/sec Train-Accuracy=0.818571
2016-09-26 16:55:35,676 Epoch[7] Batch [18400] Speed: 11.12 samples/sec Train-Accuracy=0.845714
2016-09-26 16:56:14,107 Epoch[7] Batch [18450] Speed: 10.41 samples/sec Train-Accuracy=0.837143
2016-09-26 16:56:54,779 Epoch[7] Batch [18500] Speed: 9.83 samples/sec Train-Accuracy=0.822857
2016-09-26 16:57:33,656 Epoch[7] Batch [18550] Speed: 10.29 samples/sec Train-Accuracy=0.801429
2016-09-26 16:58:12,393 Epoch[7] Batch [18600] Speed: 10.33 samples/sec Train-Accuracy=0.844286
2016-09-26 16:58:50,820 Epoch[7] Batch [18650] Speed: 10.41 samples/sec Train-Accuracy=0.825714
2016-09-26 16:59:27,895 Epoch[7] Batch [18700] Speed: 10.79 samples/sec Train-Accuracy=0.850000
2016-09-26 17:00:04,522 Epoch[7] Batch [18750] Speed: 10.92 samples/sec Train-Accuracy=0.857143
2016-09-26 17:00:40,534 Epoch[7] Batch [18800] Speed: 11.11 samples/sec Train-Accuracy=0.841429
2016-09-26 17:01:16,530 Epoch[7] Batch [18850] Speed: 11.11 samples/sec Train-Accuracy=0.782857
2016-09-26 17:01:52,564 Epoch[7] Batch [18900] Speed: 11.10 samples/sec Train-Accuracy=0.848571
2016-09-26 17:02:28,576 Epoch[7] Batch [18950] Speed: 11.11 samples/sec Train-Accuracy=0.832857
2016-09-26 17:03:04,765 Epoch[7] Batch [19000] Speed: 11.05 samples/sec Train-Accuracy=0.828571
2016-09-26 17:03:40,753 Epoch[7] Batch [19050] Speed: 11.11 samples/sec Train-Accuracy=0.830000
2016-09-26 17:04:16,832 Epoch[7] Batch [19100] Speed: 11.09 samples/sec Train-Accuracy=0.822857
2016-09-26 17:04:53,549 Epoch[7] Batch [19150] Speed: 10.89 samples/sec Train-Accuracy=0.811429
2016-09-26 17:05:37,728 Epoch[7] Batch [19200] Speed: 9.05 samples/sec Train-Accuracy=0.874286
2016-09-26 17:06:17,435 Epoch[7] Batch [19250] Speed: 10.07 samples/sec Train-Accuracy=0.802857
2016-09-26 17:06:55,111 Epoch[7] Batch [19300] Speed: 10.62 samples/sec Train-Accuracy=0.818571
2016-09-26 17:07:32,457 Epoch[7] Batch [19350] Speed: 10.71 samples/sec Train-Accuracy=0.852857
2016-09-26 17:08:11,162 Epoch[7] Batch [19400] Speed: 10.33 samples/sec Train-Accuracy=0.825714
2016-09-26 17:08:47,324 Epoch[7] Batch [19450] Speed: 11.06 samples/sec Train-Accuracy=0.828571
2016-09-26 17:09:23,528 Epoch[7] Batch [19500] Speed: 11.05 samples/sec Train-Accuracy=0.824286
2016-09-26 17:09:59,760 Epoch[7] Batch [19550] Speed: 11.04 samples/sec Train-Accuracy=0.847143
2016-09-26 17:10:35,948 Epoch[7] Batch [19600] Speed: 11.05 samples/sec Train-Accuracy=0.822857
2016-09-26 17:11:17,132 Epoch[7] Batch [19650] Speed: 9.71 samples/sec Train-Accuracy=0.832857
2016-09-26 17:11:54,811 Epoch[7] Batch [19700] Speed: 10.62 samples/sec Train-Accuracy=0.845714
2016-09-26 17:12:33,928 Epoch[7] Batch [19750] Speed: 10.23 samples/sec Train-Accuracy=0.834286
2016-09-26 17:13:13,174 Epoch[7] Batch [19800] Speed: 10.19 samples/sec Train-Accuracy=0.842857
2016-09-26 17:13:52,316 Epoch[7] Batch [19850] Speed: 10.22 samples/sec Train-Accuracy=0.790000
2016-09-26 17:14:28,610 Epoch[7] Batch [19900] Speed: 11.02 samples/sec Train-Accuracy=0.831429
2016-09-26 17:15:04,837 Epoch[7] Batch [19950] Speed: 11.04 samples/sec Train-Accuracy=0.841429
2016-09-26 17:15:44,931 Epoch[7] Batch [20000] Speed: 9.98 samples/sec Train-Accuracy=0.847143
2016-09-26 17:16:23,859 Epoch[7] Batch [20050] Speed: 10.28 samples/sec Train-Accuracy=0.800000
2016-09-26 17:17:01,288 Epoch[7] Batch [20100] Speed: 10.69 samples/sec Train-Accuracy=0.811429
2016-09-26 17:17:37,661 Epoch[7] Batch [20150] Speed: 11.00 samples/sec Train-Accuracy=0.852857
2016-09-26 17:18:13,685 Epoch[7] Batch [20200] Speed: 11.10 samples/sec Train-Accuracy=0.837143
2016-09-26 17:18:50,067 Epoch[7] Batch [20250] Speed: 10.99 samples/sec Train-Accuracy=0.827143
2016-09-26 17:19:26,424 Epoch[7] Batch [20300] Speed: 11.00 samples/sec Train-Accuracy=0.815714
2016-09-26 17:20:07,398 Epoch[7] Batch [20350] Speed: 9.76 samples/sec Train-Accuracy=0.852857
2016-09-26 17:20:46,353 Epoch[7] Batch [20400] Speed: 10.27 samples/sec Train-Accuracy=0.825714
2016-09-26 17:21:24,600 Epoch[7] Batch [20450] Speed: 10.46 samples/sec Train-Accuracy=0.817143
2016-09-26 17:22:01,693 Epoch[7] Batch [20500] Speed: 10.78 samples/sec Train-Accuracy=0.807143
2016-09-26 17:22:39,780 Epoch[7] Batch [20550] Speed: 10.50 samples/sec Train-Accuracy=0.822857
2016-09-26 17:23:18,218 Epoch[7] Batch [20600] Speed: 10.41 samples/sec Train-Accuracy=0.860000
2016-09-26 17:23:54,621 Epoch[7] Batch [20650] Speed: 10.99 samples/sec Train-Accuracy=0.845714
2016-09-26 17:24:30,643 Epoch[7] Batch [20700] Speed: 11.10 samples/sec Train-Accuracy=0.840000
2016-09-26 17:25:08,435 Epoch[7] Batch [20750] Speed: 10.58 samples/sec Train-Accuracy=0.802857
2016-09-26 17:25:48,226 Epoch[7] Batch [20800] Speed: 10.05 samples/sec Train-Accuracy=0.835714
2016-09-26 17:26:28,964 Epoch[7] Batch [20850] Speed: 9.82 samples/sec Train-Accuracy=0.832857
2016-09-26 17:27:07,292 Epoch[7] Batch [20900] Speed: 10.44 samples/sec Train-Accuracy=0.832857
2016-09-26 17:27:44,883 Epoch[7] Batch [20950] Speed: 10.64 samples/sec Train-Accuracy=0.840000
2016-09-26 17:28:22,944 Epoch[7] Batch [21000] Speed: 10.51 samples/sec Train-Accuracy=0.831429
2016-09-26 17:29:01,273 Epoch[7] Batch [21050] Speed: 10.44 samples/sec Train-Accuracy=0.837143
2016-09-26 17:29:40,890 Epoch[7] Batch [21100] Speed: 10.10 samples/sec Train-Accuracy=0.888571
2016-09-26 17:30:17,213 Epoch[7] Batch [21150] Speed: 11.01 samples/sec Train-Accuracy=0.810000
2016-09-26 17:30:53,303 Epoch[7] Batch [21200] Speed: 11.08 samples/sec Train-Accuracy=0.825714
2016-09-26 17:31:29,453 Epoch[7] Batch [21250] Speed: 11.07 samples/sec Train-Accuracy=0.835714
2016-09-26 17:32:06,179 Epoch[7] Batch [21300] Speed: 10.89 samples/sec Train-Accuracy=0.811429
2016-09-26 17:32:42,553 Epoch[7] Batch [21350] Speed: 11.00 samples/sec Train-Accuracy=0.841429
2016-09-26 17:33:18,539 Epoch[7] Batch [21400] Speed: 11.12 samples/sec Train-Accuracy=0.828571
2016-09-26 17:33:54,814 Epoch[7] Batch [21450] Speed: 11.03 samples/sec Train-Accuracy=0.841429
2016-09-26 17:34:31,461 Epoch[7] Batch [21500] Speed: 10.91 samples/sec Train-Accuracy=0.838571
2016-09-26 17:35:08,405 Epoch[7] Batch [21550] Speed: 10.83 samples/sec Train-Accuracy=0.828571
2016-09-26 17:35:44,493 Epoch[7] Batch [21600] Speed: 11.08 samples/sec Train-Accuracy=0.831429
2016-09-26 17:36:20,451 Epoch[7] Batch [21650] Speed: 11.12 samples/sec Train-Accuracy=0.818571
2016-09-26 17:36:56,410 Epoch[7] Batch [21700] Speed: 11.12 samples/sec Train-Accuracy=0.810000
2016-09-26 17:37:32,504 Epoch[7] Batch [21750] Speed: 11.08 samples/sec Train-Accuracy=0.835714
2016-09-26 17:38:08,806 Epoch[7] Batch [21800] Speed: 11.02 samples/sec Train-Accuracy=0.825714
2016-09-26 17:38:45,047 Epoch[7] Batch [21850] Speed: 11.04 samples/sec Train-Accuracy=0.797143
2016-09-26 17:39:21,141 Epoch[7] Batch [21900] Speed: 11.08 samples/sec Train-Accuracy=0.835714
2016-09-26 17:39:57,385 Epoch[7] Batch [21950] Speed: 11.04 samples/sec Train-Accuracy=0.811429
2016-09-26 17:40:33,698 Epoch[7] Batch [22000] Speed: 11.02 samples/sec Train-Accuracy=0.831429
2016-09-26 17:41:09,797 Epoch[7] Batch [22050] Speed: 11.08 samples/sec Train-Accuracy=0.832857
2016-09-26 17:41:45,958 Epoch[7] Batch [22100] Speed: 11.06 samples/sec Train-Accuracy=0.824286
2016-09-26 17:42:22,146 Epoch[7] Batch [22150] Speed: 11.05 samples/sec Train-Accuracy=0.824286
2016-09-26 17:42:58,479 Epoch[7] Batch [22200] Speed: 11.01 samples/sec Train-Accuracy=0.777143
2016-09-26 17:43:34,740 Epoch[7] Batch [22250] Speed: 11.03 samples/sec Train-Accuracy=0.797143
2016-09-26 17:44:10,945 Epoch[7] Batch [22300] Speed: 11.05 samples/sec Train-Accuracy=0.851429
2016-09-26 17:44:47,112 Epoch[7] Batch [22350] Speed: 11.06 samples/sec Train-Accuracy=0.838571
2016-09-26 17:45:28,269 Epoch[7] Batch [22400] Speed: 9.72 samples/sec Train-Accuracy=0.845714
2016-09-26 17:46:08,655 Epoch[7] Batch [22450] Speed: 9.90 samples/sec Train-Accuracy=0.842857
2016-09-26 17:46:49,591 Epoch[7] Batch [22500] Speed: 9.77 samples/sec Train-Accuracy=0.814286
2016-09-26 17:47:29,121 Epoch[7] Batch [22550] Speed: 10.12 samples/sec Train-Accuracy=0.867143
2016-09-26 17:48:06,367 Epoch[7] Batch [22600] Speed: 10.74 samples/sec Train-Accuracy=0.807143
2016-09-26 17:48:42,747 Epoch[7] Batch [22650] Speed: 11.00 samples/sec Train-Accuracy=0.815714
2016-09-26 17:49:18,978 Epoch[7] Batch [22700] Speed: 11.04 samples/sec Train-Accuracy=0.844286
2016-09-26 17:49:55,098 Epoch[7] Batch [22750] Speed: 11.07 samples/sec Train-Accuracy=0.801429
2016-09-26 17:50:31,194 Epoch[7] Batch [22800] Speed: 11.08 samples/sec Train-Accuracy=0.798571
2016-09-26 17:51:07,994 Epoch[7] Batch [22850] Speed: 10.87 samples/sec Train-Accuracy=0.855714
2016-09-26 17:51:45,140 Epoch[7] Batch [22900] Speed: 10.77 samples/sec Train-Accuracy=0.837143
2016-09-26 17:52:21,642 Epoch[7] Batch [22950] Speed: 10.96 samples/sec Train-Accuracy=0.857143
2016-09-26 17:52:58,625 Epoch[7] Batch [23000] Speed: 10.82 samples/sec Train-Accuracy=0.802857
2016-09-26 17:53:39,530 Epoch[7] Batch [23050] Speed: 9.78 samples/sec Train-Accuracy=0.830000
2016-09-26 17:54:20,408 Epoch[7] Batch [23100] Speed: 9.79 samples/sec Train-Accuracy=0.827143
2016-09-26 17:54:56,635 Epoch[7] Batch [23150] Speed: 11.04 samples/sec Train-Accuracy=0.820000
2016-09-26 17:55:32,758 Epoch[7] Batch [23200] Speed: 11.07 samples/sec Train-Accuracy=0.798571
2016-09-26 17:56:09,073 Epoch[7] Batch [23250] Speed: 11.01 samples/sec Train-Accuracy=0.794286
2016-09-26 17:56:45,342 Epoch[7] Batch [23300] Speed: 11.03 samples/sec Train-Accuracy=0.840000
2016-09-26 17:57:21,718 Epoch[7] Batch [23350] Speed: 11.00 samples/sec Train-Accuracy=0.827143
2016-09-26 17:57:58,142 Epoch[7] Batch [23400] Speed: 10.98 samples/sec Train-Accuracy=0.831429
2016-09-26 17:58:34,459 Epoch[7] Batch [23450] Speed: 11.01 samples/sec Train-Accuracy=0.830000
2016-09-26 17:59:10,819 Epoch[7] Batch [23500] Speed: 11.00 samples/sec Train-Accuracy=0.835714
2016-09-26 17:59:47,075 Epoch[7] Batch [23550] Speed: 11.03 samples/sec Train-Accuracy=0.830000
2016-09-26 18:00:23,193 Epoch[7] Batch [23600] Speed: 11.07 samples/sec Train-Accuracy=0.820000
2016-09-26 18:00:59,301 Epoch[7] Batch [23650] Speed: 11.08 samples/sec Train-Accuracy=0.824286
2016-09-26 18:01:35,430 Epoch[7] Batch [23700] Speed: 11.07 samples/sec Train-Accuracy=0.827143
2016-09-26 18:02:11,595 Epoch[7] Batch [23750] Speed: 11.06 samples/sec Train-Accuracy=0.828571
2016-09-26 18:02:52,153 Epoch[7] Batch [23800] Speed: 9.86 samples/sec Train-Accuracy=0.784286
2016-09-26 18:03:34,701 Epoch[7] Batch [23850] Speed: 9.40 samples/sec Train-Accuracy=0.871429
2016-09-26 18:04:15,766 Epoch[7] Batch [23900] Speed: 9.74 samples/sec Train-Accuracy=0.838571
2016-09-26 18:04:54,309 Epoch[7] Batch [23950] Speed: 10.38 samples/sec Train-Accuracy=0.851429
2016-09-26 18:05:35,817 Epoch[7] Batch [24000] Speed: 9.64 samples/sec Train-Accuracy=0.827143
2016-09-26 18:06:16,804 Epoch[7] Batch [24050] Speed: 9.76 samples/sec Train-Accuracy=0.834286
2016-09-26 18:06:55,755 Epoch[7] Batch [24100] Speed: 10.27 samples/sec Train-Accuracy=0.841429
2016-09-26 18:07:33,331 Epoch[7] Batch [24150] Speed: 10.65 samples/sec Train-Accuracy=0.851429
2016-09-26 18:08:10,626 Epoch[7] Batch [24200] Speed: 10.73 samples/sec Train-Accuracy=0.838571
2016-09-26 18:08:48,165 Epoch[7] Batch [24250] Speed: 10.66 samples/sec Train-Accuracy=0.805714
2016-09-26 18:09:25,573 Epoch[7] Batch [24300] Speed: 10.69 samples/sec Train-Accuracy=0.817143
2016-09-26 18:10:03,078 Epoch[7] Batch [24350] Speed: 10.67 samples/sec Train-Accuracy=0.844286
2016-09-26 18:10:40,386 Epoch[7] Batch [24400] Speed: 10.72 samples/sec Train-Accuracy=0.831429
2016-09-26 18:11:16,633 Epoch[7] Batch [24450] Speed: 11.04 samples/sec Train-Accuracy=0.858571
2016-09-26 18:11:52,768 Epoch[7] Batch [24500] Speed: 11.07 samples/sec Train-Accuracy=0.817143
2016-09-26 18:12:28,892 Epoch[7] Batch [24550] Speed: 11.07 samples/sec Train-Accuracy=0.838571
2016-09-26 18:13:10,061 Epoch[7] Batch [24600] Speed: 9.72 samples/sec Train-Accuracy=0.851429
2016-09-26 18:13:51,783 Epoch[7] Batch [24650] Speed: 9.59 samples/sec Train-Accuracy=0.840000
2016-09-26 18:14:28,138 Epoch[7] Batch [24700] Speed: 11.00 samples/sec Train-Accuracy=0.824286
2016-09-26 18:15:04,344 Epoch[7] Batch [24750] Speed: 11.05 samples/sec Train-Accuracy=0.854286
2016-09-26 18:15:47,178 Epoch[7] Batch [24800] Speed: 9.34 samples/sec Train-Accuracy=0.851429
2016-09-26 18:16:30,692 Epoch[7] Batch [24850] Speed: 9.19 samples/sec Train-Accuracy=0.838571
2016-09-26 18:17:13,398 Epoch[7] Batch [24900] Speed: 9.37 samples/sec Train-Accuracy=0.848571
2016-09-26 18:17:52,493 Epoch[7] Batch [24950] Speed: 10.23 samples/sec Train-Accuracy=0.854286
2016-09-26 18:18:30,359 Epoch[7] Batch [25000] Speed: 10.56 samples/sec Train-Accuracy=0.824286
2016-09-26 18:19:08,248 Epoch[7] Batch [25050] Speed: 10.56 samples/sec Train-Accuracy=0.828571
2016-09-26 18:19:46,033 Epoch[7] Batch [25100] Speed: 10.59 samples/sec Train-Accuracy=0.864286
2016-09-26 18:20:23,830 Epoch[7] Batch [25150] Speed: 10.58 samples/sec Train-Accuracy=0.832857
2016-09-26 18:21:01,363 Epoch[7] Batch [25200] Speed: 10.66 samples/sec Train-Accuracy=0.810000
2016-09-26 18:21:38,932 Epoch[7] Batch [25250] Speed: 10.65 samples/sec Train-Accuracy=0.847143
2016-09-26 18:22:15,050 Epoch[7] Batch [25300] Speed: 11.07 samples/sec Train-Accuracy=0.810000
2016-09-26 18:22:51,284 Epoch[7] Batch [25350] Speed: 11.04 samples/sec Train-Accuracy=0.831429
2016-09-26 18:23:27,618 Epoch[7] Batch [25400] Speed: 11.01 samples/sec Train-Accuracy=0.822857
2016-09-26 18:24:04,512 Epoch[7] Batch [25450] Speed: 10.84 samples/sec Train-Accuracy=0.775714
2016-09-26 18:24:42,203 Epoch[7] Batch [25500] Speed: 10.61 samples/sec Train-Accuracy=0.835714
2016-09-26 18:25:18,482 Epoch[7] Batch [25550] Speed: 11.03 samples/sec Train-Accuracy=0.814286
2016-09-26 18:25:54,817 Epoch[7] Batch [25600] Speed: 11.01 samples/sec Train-Accuracy=0.842857
2016-09-26 18:26:31,132 Epoch[7] Batch [25650] Speed: 11.01 samples/sec Train-Accuracy=0.802857
2016-09-26 18:27:07,452 Epoch[7] Batch [25700] Speed: 11.01 samples/sec Train-Accuracy=0.852857
2016-09-26 18:27:45,231 Epoch[7] Batch [25750] Speed: 10.59 samples/sec Train-Accuracy=0.844286
2016-09-26 18:28:21,496 Epoch[7] Batch [25800] Speed: 11.03 samples/sec Train-Accuracy=0.855714
2016-09-26 18:28:57,728 Epoch[7] Batch [25850] Speed: 11.04 samples/sec Train-Accuracy=0.821429
2016-09-26 18:29:34,062 Epoch[7] Batch [25900] Speed: 11.01 samples/sec Train-Accuracy=0.815714
2016-09-26 18:30:10,264 Epoch[7] Batch [25950] Speed: 11.05 samples/sec Train-Accuracy=0.854286
2016-09-26 18:30:46,769 Epoch[7] Batch [26000] Speed: 10.96 samples/sec Train-Accuracy=0.834286
2016-09-26 18:31:25,502 Epoch[7] Batch [26050] Speed: 10.33 samples/sec Train-Accuracy=0.857143
2016-09-26 18:32:01,608 Epoch[7] Batch [26100] Speed: 11.08 samples/sec Train-Accuracy=0.815714
2016-09-26 18:32:37,614 Epoch[7] Batch [26150] Speed: 11.11 samples/sec Train-Accuracy=0.811429
2016-09-26 18:33:13,650 Epoch[7] Batch [26200] Speed: 11.10 samples/sec Train-Accuracy=0.821429
2016-09-26 18:33:49,626 Epoch[7] Batch [26250] Speed: 11.12 samples/sec Train-Accuracy=0.851429
2016-09-26 18:34:25,647 Epoch[7] Batch [26300] Speed: 11.10 samples/sec Train-Accuracy=0.830000
2016-09-26 18:35:01,624 Epoch[7] Batch [26350] Speed: 11.12 samples/sec Train-Accuracy=0.834286
2016-09-26 18:35:37,735 Epoch[7] Batch [26400] Speed: 11.08 samples/sec Train-Accuracy=0.830000
2016-09-26 18:36:13,817 Epoch[7] Batch [26450] Speed: 11.09 samples/sec Train-Accuracy=0.795714
2016-09-26 18:36:49,790 Epoch[7] Batch [26500] Speed: 11.12 samples/sec Train-Accuracy=0.790000
2016-09-26 18:37:25,744 Epoch[7] Batch [26550] Speed: 11.13 samples/sec Train-Accuracy=0.860000
2016-09-26 18:38:01,737 Epoch[7] Batch [26600] Speed: 11.11 samples/sec Train-Accuracy=0.834286
2016-09-26 18:38:37,745 Epoch[7] Batch [26650] Speed: 11.11 samples/sec Train-Accuracy=0.825714
2016-09-26 18:39:13,786 Epoch[7] Batch [26700] Speed: 11.10 samples/sec Train-Accuracy=0.832857
2016-09-26 18:39:49,752 Epoch[7] Batch [26750] Speed: 11.12 samples/sec Train-Accuracy=0.775714
2016-09-26 18:40:25,644 Epoch[7] Batch [26800] Speed: 11.14 samples/sec Train-Accuracy=0.837143
2016-09-26 18:41:01,621 Epoch[7] Batch [26850] Speed: 11.12 samples/sec Train-Accuracy=0.832857
2016-09-26 18:41:37,556 Epoch[7] Batch [26900] Speed: 11.13 samples/sec Train-Accuracy=0.798571
2016-09-26 18:42:13,892 Epoch[7] Batch [26950] Speed: 11.01 samples/sec Train-Accuracy=0.848571
2016-09-26 18:42:50,562 Epoch[7] Batch [27000] Speed: 10.91 samples/sec Train-Accuracy=0.821429
2016-09-26 18:43:26,859 Epoch[7] Batch [27050] Speed: 11.02 samples/sec Train-Accuracy=0.797143
2016-09-26 18:44:02,784 Epoch[7] Batch [27100] Speed: 11.13 samples/sec Train-Accuracy=0.847143
2016-09-26 18:44:38,749 Epoch[7] Batch [27150] Speed: 11.12 samples/sec Train-Accuracy=0.827143
2016-09-26 18:45:14,745 Epoch[7] Batch [27200] Speed: 11.11 samples/sec Train-Accuracy=0.838571
2016-09-26 18:45:50,801 Epoch[7] Batch [27250] Speed: 11.09 samples/sec Train-Accuracy=0.824286
2016-09-26 18:46:26,678 Epoch[7] Batch [27300] Speed: 11.15 samples/sec Train-Accuracy=0.815714
2016-09-26 18:47:04,014 Epoch[7] Batch [27350] Speed: 10.71 samples/sec Train-Accuracy=0.818571
2016-09-26 18:47:40,042 Epoch[7] Batch [27400] Speed: 11.10 samples/sec Train-Accuracy=0.810000
2016-09-26 18:48:15,995 Epoch[7] Batch [27450] Speed: 11.13 samples/sec Train-Accuracy=0.848571
2016-09-26 18:48:51,979 Epoch[7] Batch [27500] Speed: 11.12 samples/sec Train-Accuracy=0.821429
2016-09-26 18:49:28,393 Epoch[7] Batch [27550] Speed: 10.98 samples/sec Train-Accuracy=0.861429
2016-09-26 18:50:05,798 Epoch[7] Batch [27600] Speed: 10.69 samples/sec Train-Accuracy=0.837143
2016-09-26 18:50:45,223 Epoch[7] Batch [27650] Speed: 10.15 samples/sec Train-Accuracy=0.795714
2016-09-26 18:51:24,283 Epoch[7] Batch [27700] Speed: 10.24 samples/sec Train-Accuracy=0.820000
2016-09-26 18:52:00,288 Epoch[7] Batch [27750] Speed: 11.11 samples/sec Train-Accuracy=0.847143
2016-09-26 18:52:36,332 Epoch[7] Batch [27800] Speed: 11.10 samples/sec Train-Accuracy=0.822857
2016-09-26 18:53:12,282 Epoch[7] Batch [27850] Speed: 11.13 samples/sec Train-Accuracy=0.835714
2016-09-26 18:53:48,300 Epoch[7] Batch [27900] Speed: 11.11 samples/sec Train-Accuracy=0.820000
2016-09-26 18:54:24,334 Epoch[7] Batch [27950] Speed: 11.10 samples/sec Train-Accuracy=0.835714
2016-09-26 18:55:00,398 Epoch[7] Batch [28000] Speed: 11.09 samples/sec Train-Accuracy=0.825714
2016-09-26 18:55:36,474 Epoch[7] Batch [28050] Speed: 11.09 samples/sec Train-Accuracy=0.854286
2016-09-26 18:56:15,237 Epoch[7] Batch [28100] Speed: 10.32 samples/sec Train-Accuracy=0.852857
2016-09-26 18:56:53,137 Epoch[7] Batch [28150] Speed: 10.55 samples/sec Train-Accuracy=0.847143
2016-09-26 18:57:31,266 Epoch[7] Batch [28200] Speed: 10.49 samples/sec Train-Accuracy=0.862857
2016-09-26 18:58:08,895 Epoch[7] Batch [28250] Speed: 10.63 samples/sec Train-Accuracy=0.832857
2016-09-26 18:58:46,297 Epoch[7] Batch [28300] Speed: 10.69 samples/sec Train-Accuracy=0.858571
2016-09-26 18:59:24,013 Epoch[7] Batch [28350] Speed: 10.61 samples/sec Train-Accuracy=0.827143
2016-09-26 19:00:00,269 Epoch[7] Batch [28400] Speed: 11.03 samples/sec Train-Accuracy=0.845714
2016-09-26 19:00:36,555 Epoch[7] Batch [28450] Speed: 11.02 samples/sec Train-Accuracy=0.854286
2016-09-26 19:01:14,708 Epoch[7] Batch [28500] Speed: 10.48 samples/sec Train-Accuracy=0.830000
2016-09-26 19:01:53,978 Epoch[7] Batch [28550] Speed: 10.19 samples/sec Train-Accuracy=0.830000
2016-09-26 19:02:33,121 Epoch[7] Batch [28600] Speed: 10.22 samples/sec Train-Accuracy=0.857143
2016-09-26 19:03:12,945 Epoch[7] Batch [28650] Speed: 10.04 samples/sec Train-Accuracy=0.835714
2016-09-26 19:03:53,056 Epoch[7] Batch [28700] Speed: 9.97 samples/sec Train-Accuracy=0.844286
2016-09-26 19:04:32,477 Epoch[7] Batch [28750] Speed: 10.15 samples/sec Train-Accuracy=0.810000
2016-09-26 19:05:10,685 Epoch[7] Batch [28800] Speed: 10.47 samples/sec Train-Accuracy=0.821429
2016-09-26 19:05:46,957 Epoch[7] Batch [28850] Speed: 11.03 samples/sec Train-Accuracy=0.841429
2016-09-26 19:06:23,411 Epoch[7] Batch [28900] Speed: 10.97 samples/sec Train-Accuracy=0.840000
2016-09-26 19:06:59,567 Epoch[7] Batch [28950] Speed: 11.06 samples/sec Train-Accuracy=0.832857
2016-09-26 19:07:35,748 Epoch[7] Batch [29000] Speed: 11.06 samples/sec Train-Accuracy=0.805714
2016-09-26 19:08:12,733 Epoch[7] Batch [29050] Speed: 10.82 samples/sec Train-Accuracy=0.830000
2016-09-26 19:08:53,700 Epoch[7] Batch [29100] Speed: 9.76 samples/sec Train-Accuracy=0.820000
2016-09-26 19:09:33,625 Epoch[7] Batch [29150] Speed: 10.02 samples/sec Train-Accuracy=0.818571
2016-09-26 19:10:12,911 Epoch[7] Batch [29200] Speed: 10.18 samples/sec Train-Accuracy=0.815714
2016-09-26 19:10:52,790 Epoch[7] Batch [29250] Speed: 10.03 samples/sec Train-Accuracy=0.802857
2016-09-26 19:11:32,648 Epoch[7] Batch [29300] Speed: 10.04 samples/sec Train-Accuracy=0.824286
2016-09-26 19:12:09,083 Epoch[7] Batch [29350] Speed: 10.98 samples/sec Train-Accuracy=0.807143
2016-09-26 19:12:45,371 Epoch[7] Batch [29400] Speed: 11.02 samples/sec Train-Accuracy=0.805714
2016-09-26 19:13:21,668 Epoch[7] Batch [29450] Speed: 11.02 samples/sec Train-Accuracy=0.830000
2016-09-26 19:13:57,879 Epoch[7] Batch [29500] Speed: 11.05 samples/sec Train-Accuracy=0.847143
2016-09-26 19:14:34,225 Epoch[7] Batch [29550] Speed: 11.01 samples/sec Train-Accuracy=0.840000
2016-09-26 19:15:10,436 Epoch[7] Batch [29600] Speed: 11.05 samples/sec Train-Accuracy=0.820000
2016-09-26 19:15:46,636 Epoch[7] Batch [29650] Speed: 11.05 samples/sec Train-Accuracy=0.855714
2016-09-26 19:16:26,424 Epoch[7] Batch [29700] Speed: 10.05 samples/sec Train-Accuracy=0.817143
2016-09-26 19:17:05,757 Epoch[7] Batch [29750] Speed: 10.17 samples/sec Train-Accuracy=0.788571
2016-09-26 19:17:44,426 Epoch[7] Batch [29800] Speed: 10.34 samples/sec Train-Accuracy=0.877143
2016-09-26 19:18:23,649 Epoch[7] Batch [29850] Speed: 10.20 samples/sec Train-Accuracy=0.820000
2016-09-26 19:19:02,211 Epoch[7] Batch [29900] Speed: 10.37 samples/sec Train-Accuracy=0.857143
2016-09-26 19:19:40,088 Epoch[7] Batch [29950] Speed: 10.56 samples/sec Train-Accuracy=0.841429
2016-09-26 19:20:18,910 Epoch[7] Batch [30000] Speed: 10.30 samples/sec Train-Accuracy=0.818571
2016-09-26 19:20:57,605 Epoch[7] Batch [30050] Speed: 10.34 samples/sec Train-Accuracy=0.828571
2016-09-26 19:21:36,241 Epoch[7] Batch [30100] Speed: 10.35 samples/sec Train-Accuracy=0.811429
2016-09-26 19:22:14,071 Epoch[7] Batch [30150] Speed: 10.57 samples/sec Train-Accuracy=0.827143
2016-09-26 19:22:50,982 Epoch[7] Batch [30200] Speed: 10.84 samples/sec Train-Accuracy=0.780000
2016-09-26 19:23:27,892 Epoch[7] Batch [30250] Speed: 10.84 samples/sec Train-Accuracy=0.841429
2016-09-26 19:24:04,737 Epoch[7] Batch [30300] Speed: 10.86 samples/sec Train-Accuracy=0.827143
2016-09-26 19:24:41,680 Epoch[7] Batch [30350] Speed: 10.83 samples/sec Train-Accuracy=0.858571
2016-09-26 19:25:19,183 Epoch[7] Batch [30400] Speed: 10.67 samples/sec Train-Accuracy=0.807143
2016-09-26 19:25:56,934 Epoch[7] Batch [30450] Speed: 10.60 samples/sec Train-Accuracy=0.817143
2016-09-26 19:26:34,864 Epoch[7] Batch [30500] Speed: 10.55 samples/sec Train-Accuracy=0.855714
2016-09-26 19:27:12,710 Epoch[7] Batch [30550] Speed: 10.57 samples/sec Train-Accuracy=0.845714
2016-09-26 19:27:50,325 Epoch[7] Batch [30600] Speed: 10.63 samples/sec Train-Accuracy=0.851429
2016-09-26 19:28:26,591 Epoch[7] Batch [30650] Speed: 11.03 samples/sec Train-Accuracy=0.851429
2016-09-26 19:29:02,520 Epoch[7] Batch [30700] Speed: 11.13 samples/sec Train-Accuracy=0.804286
2016-09-26 19:29:38,574 Epoch[7] Batch [30750] Speed: 11.09 samples/sec Train-Accuracy=0.830000
2016-09-26 19:30:14,582 Epoch[7] Batch [30800] Speed: 11.11 samples/sec Train-Accuracy=0.844286
2016-09-26 19:30:50,628 Epoch[7] Batch [30850] Speed: 11.10 samples/sec Train-Accuracy=0.825714
2016-09-26 19:31:26,532 Epoch[7] Batch [30900] Speed: 11.14 samples/sec Train-Accuracy=0.850000
2016-09-26 19:32:03,950 Epoch[7] Batch [30950] Speed: 10.69 samples/sec Train-Accuracy=0.827143
2016-09-26 19:32:40,065 Epoch[7] Batch [31000] Speed: 11.08 samples/sec Train-Accuracy=0.817143
2016-09-26 19:33:16,323 Epoch[7] Batch [31050] Speed: 11.03 samples/sec Train-Accuracy=0.834286
2016-09-26 19:33:52,517 Epoch[7] Batch [31100] Speed: 11.05 samples/sec Train-Accuracy=0.818571
2016-09-26 19:34:28,691 Epoch[7] Batch [31150] Speed: 11.06 samples/sec Train-Accuracy=0.820000
2016-09-26 19:35:05,095 Epoch[7] Batch [31200] Speed: 10.99 samples/sec Train-Accuracy=0.851429
2016-09-26 19:35:41,118 Epoch[7] Batch [31250] Speed: 11.10 samples/sec Train-Accuracy=0.858571
2016-09-26 19:36:17,110 Epoch[7] Batch [31300] Speed: 11.11 samples/sec Train-Accuracy=0.830000
2016-09-26 19:36:53,175 Epoch[7] Batch [31350] Speed: 11.09 samples/sec Train-Accuracy=0.861429
2016-09-26 19:37:29,206 Epoch[7] Batch [31400] Speed: 11.10 samples/sec Train-Accuracy=0.852857
2016-09-26 19:38:05,549 Epoch[7] Batch [31450] Speed: 11.01 samples/sec Train-Accuracy=0.828571
2016-09-26 19:38:42,028 Epoch[7] Batch [31500] Speed: 10.97 samples/sec Train-Accuracy=0.790000
2016-09-26 19:39:17,960 Epoch[7] Batch [31550] Speed: 11.13 samples/sec Train-Accuracy=0.851429
2016-09-26 19:39:53,875 Epoch[7] Batch [31600] Speed: 11.14 samples/sec Train-Accuracy=0.812857
2016-09-26 19:40:30,362 Epoch[7] Batch [31650] Speed: 10.96 samples/sec Train-Accuracy=0.841429
2016-09-26 19:41:11,256 Epoch[7] Batch [31700] Speed: 9.78 samples/sec Train-Accuracy=0.808571
2016-09-26 19:41:50,307 Epoch[7] Batch [31750] Speed: 10.24 samples/sec Train-Accuracy=0.845714
2016-09-26 19:42:28,630 Epoch[7] Batch [31800] Speed: 10.44 samples/sec Train-Accuracy=0.841429
2016-09-26 19:43:06,806 Epoch[7] Batch [31850] Speed: 10.48 samples/sec Train-Accuracy=0.834286
2016-09-26 19:43:45,400 Epoch[7] Batch [31900] Speed: 10.36 samples/sec Train-Accuracy=0.830000
2016-09-26 19:44:24,197 Epoch[7] Batch [31950] Speed: 10.31 samples/sec Train-Accuracy=0.792857
2016-09-26 19:45:04,223 Epoch[7] Batch [32000] Speed: 9.99 samples/sec Train-Accuracy=0.831429
2016-09-26 19:45:43,239 Epoch[7] Batch [32050] Speed: 10.25 samples/sec Train-Accuracy=0.807143
2016-09-26 19:46:21,585 Epoch[7] Batch [32100] Speed: 10.43 samples/sec Train-Accuracy=0.842857
2016-09-26 19:47:00,141 Epoch[7] Batch [32150] Speed: 10.37 samples/sec Train-Accuracy=0.817143
2016-09-26 19:47:39,137 Epoch[7] Batch [32200] Speed: 10.26 samples/sec Train-Accuracy=0.808571
2016-09-26 19:48:18,113 Epoch[7] Batch [32250] Speed: 10.26 samples/sec Train-Accuracy=0.810000
2016-09-26 19:48:56,549 Epoch[7] Batch [32300] Speed: 10.41 samples/sec Train-Accuracy=0.848571
2016-09-26 19:49:34,084 Epoch[7] Batch [32350] Speed: 10.66 samples/sec Train-Accuracy=0.838571
2016-09-26 19:50:10,241 Epoch[7] Batch [32400] Speed: 11.06 samples/sec Train-Accuracy=0.865714
2016-09-26 19:50:46,385 Epoch[7] Batch [32450] Speed: 11.07 samples/sec Train-Accuracy=0.858571
2016-09-26 19:51:22,422 Epoch[7] Batch [32500] Speed: 11.10 samples/sec Train-Accuracy=0.812857
2016-09-26 19:51:58,783 Epoch[7] Batch [32550] Speed: 11.00 samples/sec Train-Accuracy=0.837143
2016-09-26 19:52:34,948 Epoch[7] Batch [32600] Speed: 11.06 samples/sec Train-Accuracy=0.831429
2016-09-26 19:53:10,988 Epoch[7] Batch [32650] Speed: 11.10 samples/sec Train-Accuracy=0.848571
2016-09-26 19:53:47,104 Epoch[7] Batch [32700] Speed: 11.08 samples/sec Train-Accuracy=0.811429
2016-09-26 19:54:23,242 Epoch[7] Batch [32750] Speed: 11.07 samples/sec Train-Accuracy=0.827143
2016-09-26 19:54:59,420 Epoch[7] Batch [32800] Speed: 11.06 samples/sec Train-Accuracy=0.845714
2016-09-26 19:55:35,540 Epoch[7] Batch [32850] Speed: 11.07 samples/sec Train-Accuracy=0.794286
2016-09-26 19:56:11,646 Epoch[7] Batch [32900] Speed: 11.08 samples/sec Train-Accuracy=0.807143
2016-09-26 19:56:48,301 Epoch[7] Batch [32950] Speed: 10.91 samples/sec Train-Accuracy=0.812857
2016-09-26 19:57:24,340 Epoch[7] Batch [33000] Speed: 11.10 samples/sec Train-Accuracy=0.811429
2016-09-26 19:58:00,300 Epoch[7] Batch [33050] Speed: 11.12 samples/sec Train-Accuracy=0.822857
2016-09-26 19:58:36,371 Epoch[7] Batch [33100] Speed: 11.09 samples/sec Train-Accuracy=0.850000
2016-09-26 19:59:12,464 Epoch[7] Batch [33150] Speed: 11.08 samples/sec Train-Accuracy=0.844286
2016-09-26 19:59:48,598 Epoch[7] Batch [33200] Speed: 11.07 samples/sec Train-Accuracy=0.805714
2016-09-26 20:00:24,702 Epoch[7] Batch [33250] Speed: 11.08 samples/sec Train-Accuracy=0.861429
2016-09-26 20:01:00,796 Epoch[7] Batch [33300] Speed: 11.08 samples/sec Train-Accuracy=0.804286
2016-09-26 20:01:36,934 Epoch[7] Batch [33350] Speed: 11.07 samples/sec Train-Accuracy=0.841429
2016-09-26 20:02:13,039 Epoch[7] Batch [33400] Speed: 11.08 samples/sec Train-Accuracy=0.827143
2016-09-26 20:02:49,409 Epoch[7] Batch [33450] Speed: 11.00 samples/sec Train-Accuracy=0.857143
2016-09-26 20:03:25,548 Epoch[7] Batch [33500] Speed: 11.07 samples/sec Train-Accuracy=0.805714
2016-09-26 20:04:01,641 Epoch[7] Batch [33550] Speed: 11.08 samples/sec Train-Accuracy=0.840000
2016-09-26 20:04:37,785 Epoch[7] Batch [33600] Speed: 11.07 samples/sec Train-Accuracy=0.817143
2016-09-26 20:05:15,184 Epoch[7] Batch [33650] Speed: 10.70 samples/sec Train-Accuracy=0.802857
2016-09-26 20:05:53,865 Epoch[7] Batch [33700] Speed: 10.34 samples/sec Train-Accuracy=0.828571
2016-09-26 20:06:32,283 Epoch[7] Batch [33750] Speed: 10.41 samples/sec Train-Accuracy=0.808571
2016-09-26 20:07:10,564 Epoch[7] Batch [33800] Speed: 10.45 samples/sec Train-Accuracy=0.834286
2016-09-26 20:07:47,547 Epoch[7] Batch [33850] Speed: 10.82 samples/sec Train-Accuracy=0.860000
2016-09-26 20:08:25,257 Epoch[7] Batch [33900] Speed: 10.61 samples/sec Train-Accuracy=0.841429
2016-09-26 20:09:02,116 Epoch[7] Batch [33950] Speed: 10.85 samples/sec Train-Accuracy=0.842857
2016-09-26 20:09:38,555 Epoch[7] Batch [34000] Speed: 10.98 samples/sec Train-Accuracy=0.831429
2016-09-26 20:10:14,895 Epoch[7] Batch [34050] Speed: 11.01 samples/sec Train-Accuracy=0.821429
2016-09-26 20:10:51,180 Epoch[7] Batch [34100] Speed: 11.02 samples/sec Train-Accuracy=0.825714
2016-09-26 20:11:27,321 Epoch[7] Batch [34150] Speed: 11.07 samples/sec Train-Accuracy=0.848571
2016-09-26 20:12:03,491 Epoch[7] Batch [34200] Speed: 11.06 samples/sec Train-Accuracy=0.861429
2016-09-26 20:12:39,608 Epoch[7] Batch [34250] Speed: 11.08 samples/sec Train-Accuracy=0.822857
2016-09-26 20:13:15,754 Epoch[7] Batch [34300] Speed: 11.07 samples/sec Train-Accuracy=0.832857
2016-09-26 20:13:51,816 Epoch[7] Batch [34350] Speed: 11.09 samples/sec Train-Accuracy=0.784286
2016-09-26 20:14:27,977 Epoch[7] Batch [34400] Speed: 11.06 samples/sec Train-Accuracy=0.815714
2016-09-26 20:15:04,136 Epoch[7] Batch [34450] Speed: 11.06 samples/sec Train-Accuracy=0.864286
2016-09-26 20:15:40,336 Epoch[7] Batch [34500] Speed: 11.05 samples/sec Train-Accuracy=0.817143
2016-09-26 20:16:16,399 Epoch[7] Batch [34550] Speed: 11.09 samples/sec Train-Accuracy=0.837143
2016-09-26 20:16:52,532 Epoch[7] Batch [34600] Speed: 11.07 samples/sec Train-Accuracy=0.804286
2016-09-26 20:17:28,625 Epoch[7] Batch [34650] Speed: 11.08 samples/sec Train-Accuracy=0.820000
2016-09-26 20:18:04,779 Epoch[7] Batch [34700] Speed: 11.06 samples/sec Train-Accuracy=0.817143
2016-09-26 20:18:40,927 Epoch[7] Batch [34750] Speed: 11.07 samples/sec Train-Accuracy=0.832857
2016-09-26 20:19:20,113 Epoch[7] Batch [34800] Speed: 10.21 samples/sec Train-Accuracy=0.857143
2016-09-26 20:19:58,963 Epoch[7] Batch [34850] Speed: 10.30 samples/sec Train-Accuracy=0.830000
2016-09-26 20:20:35,556 Epoch[7] Batch [34900] Speed: 10.93 samples/sec Train-Accuracy=0.837143
2016-09-26 20:21:11,715 Epoch[7] Batch [34950] Speed: 11.06 samples/sec Train-Accuracy=0.811429
2016-09-26 20:21:47,877 Epoch[7] Batch [35000] Speed: 11.06 samples/sec Train-Accuracy=0.844286
2016-09-26 20:22:24,108 Epoch[7] Batch [35050] Speed: 11.04 samples/sec Train-Accuracy=0.820000
2016-09-26 20:23:00,315 Epoch[7] Batch [35100] Speed: 11.05 samples/sec Train-Accuracy=0.814286
2016-09-26 20:23:36,522 Epoch[7] Batch [35150] Speed: 11.05 samples/sec Train-Accuracy=0.828571
2016-09-26 20:24:13,237 Epoch[7] Batch [35200] Speed: 10.89 samples/sec Train-Accuracy=0.810000
2016-09-26 20:24:52,682 Epoch[7] Batch [35250] Speed: 10.14 samples/sec Train-Accuracy=0.838571
2016-09-26 20:25:32,440 Epoch[7] Batch [35300] Speed: 10.06 samples/sec Train-Accuracy=0.841429
2016-09-26 20:26:11,626 Epoch[7] Batch [35350] Speed: 10.21 samples/sec Train-Accuracy=0.830000
2016-09-26 20:26:52,347 Epoch[7] Batch [35400] Speed: 9.82 samples/sec Train-Accuracy=0.827143
2016-09-26 20:27:33,268 Epoch[7] Batch [35450] Speed: 9.77 samples/sec Train-Accuracy=0.827143
2016-09-26 20:28:11,669 Epoch[7] Batch [35500] Speed: 10.42 samples/sec Train-Accuracy=0.832857
2016-09-26 20:28:49,462 Epoch[7] Batch [35550] Speed: 10.58 samples/sec Train-Accuracy=0.808571
2016-09-26 20:29:28,173 Epoch[7] Batch [35600] Speed: 10.33 samples/sec Train-Accuracy=0.822857
2016-09-26 20:30:08,520 Epoch[7] Batch [35650] Speed: 9.91 samples/sec Train-Accuracy=0.864286
2016-09-26 20:30:50,132 Epoch[7] Batch [35700] Speed: 9.61 samples/sec Train-Accuracy=0.805714
2016-09-26 20:31:29,083 Epoch[7] Batch [35750] Speed: 10.27 samples/sec Train-Accuracy=0.834286
2016-09-26 20:32:06,938 Epoch[7] Batch [35800] Speed: 10.57 samples/sec Train-Accuracy=0.818571
2016-09-26 20:32:44,343 Epoch[7] Batch [35850] Speed: 10.69 samples/sec Train-Accuracy=0.798571
2016-09-26 20:33:22,585 Epoch[7] Batch [35900] Speed: 10.46 samples/sec Train-Accuracy=0.830000
2016-09-26 20:34:02,406 Epoch[7] Batch [35950] Speed: 10.05 samples/sec Train-Accuracy=0.872857
2016-09-26 20:34:43,651 Epoch[7] Batch [36000] Speed: 9.70 samples/sec Train-Accuracy=0.818571
2016-09-26 20:35:25,389 Epoch[7] Batch [36050] Speed: 9.58 samples/sec Train-Accuracy=0.810000
2016-09-26 20:36:06,193 Epoch[7] Batch [36100] Speed: 9.80 samples/sec Train-Accuracy=0.837143
2016-09-26 20:36:48,256 Epoch[7] Batch [36150] Speed: 9.51 samples/sec Train-Accuracy=0.801429
2016-09-26 20:37:29,976 Epoch[7] Batch [36200] Speed: 9.59 samples/sec Train-Accuracy=0.810000
2016-09-26 20:38:11,456 Epoch[7] Batch [36250] Speed: 9.64 samples/sec Train-Accuracy=0.814286
2016-09-26 20:38:53,243 Epoch[7] Batch [36300] Speed: 9.57 samples/sec Train-Accuracy=0.844286
2016-09-26 20:39:34,669 Epoch[7] Batch [36350] Speed: 9.66 samples/sec Train-Accuracy=0.837143
2016-09-26 20:40:12,620 Epoch[7] Batch [36400] Speed: 10.54 samples/sec Train-Accuracy=0.814286
2016-09-26 20:40:51,918 Epoch[7] Batch [36450] Speed: 10.18 samples/sec Train-Accuracy=0.820000
2016-09-26 20:41:28,928 Epoch[7] Batch [36500] Speed: 10.81 samples/sec Train-Accuracy=0.827143
2016-09-26 20:42:06,791 Epoch[7] Batch [36550] Speed: 10.56 samples/sec Train-Accuracy=0.830000
2016-09-26 20:42:44,131 Epoch[7] Batch [36600] Speed: 10.71 samples/sec Train-Accuracy=0.841429
2016-09-26 20:43:21,201 Epoch[7] Batch [36650] Speed: 10.79 samples/sec Train-Accuracy=0.850000
2016-09-26 20:43:57,982 Epoch[7] Batch [36700] Speed: 10.88 samples/sec Train-Accuracy=0.824286
2016-09-26 20:44:39,139 Epoch[7] Batch [36750] Speed: 9.72 samples/sec Train-Accuracy=0.847143
2016-09-26 20:45:19,943 Epoch[7] Batch [36800] Speed: 9.80 samples/sec Train-Accuracy=0.814286
2016-09-26 20:45:58,569 Epoch[7] Batch [36850] Speed: 10.36 samples/sec Train-Accuracy=0.802857
2016-09-26 20:46:35,346 Epoch[7] Batch [36900] Speed: 10.88 samples/sec Train-Accuracy=0.831429
2016-09-26 20:47:11,903 Epoch[7] Batch [36950] Speed: 10.94 samples/sec Train-Accuracy=0.882857
2016-09-26 20:47:52,407 Epoch[7] Batch [37000] Speed: 9.88 samples/sec Train-Accuracy=0.847143
2016-09-26 20:48:33,690 Epoch[7] Batch [37050] Speed: 9.69 samples/sec Train-Accuracy=0.812857
2016-09-26 20:49:15,360 Epoch[7] Batch [37100] Speed: 9.60 samples/sec Train-Accuracy=0.814286
2016-09-26 20:49:58,312 Epoch[7] Batch [37150] Speed: 9.31 samples/sec Train-Accuracy=0.847143
2016-09-26 20:50:40,708 Epoch[7] Batch [37200] Speed: 9.43 samples/sec Train-Accuracy=0.835714
2016-09-26 20:51:19,245 Epoch[7] Batch [37250] Speed: 10.38 samples/sec Train-Accuracy=0.827143
2016-09-26 20:51:56,241 Epoch[7] Batch [37300] Speed: 10.81 samples/sec Train-Accuracy=0.858571
2016-09-26 20:52:33,130 Epoch[7] Batch [37350] Speed: 10.84 samples/sec Train-Accuracy=0.825714
2016-09-26 20:53:10,115 Epoch[7] Batch [37400] Speed: 10.82 samples/sec Train-Accuracy=0.827143
2016-09-26 20:53:47,096 Epoch[7] Batch [37450] Speed: 10.82 samples/sec Train-Accuracy=0.837143
2016-09-26 20:54:23,970 Epoch[7] Batch [37500] Speed: 10.85 samples/sec Train-Accuracy=0.830000
2016-09-26 20:55:01,295 Epoch[7] Batch [37550] Speed: 10.72 samples/sec Train-Accuracy=0.837143
2016-09-26 20:55:38,710 Epoch[7] Batch [37600] Speed: 10.69 samples/sec Train-Accuracy=0.838571
2016-09-26 20:56:15,641 Epoch[7] Batch [37650] Speed: 10.83 samples/sec Train-Accuracy=0.832857
2016-09-26 20:56:52,380 Epoch[7] Batch [37700] Speed: 10.89 samples/sec Train-Accuracy=0.830000
2016-09-26 20:57:29,121 Epoch[7] Batch [37750] Speed: 10.89 samples/sec Train-Accuracy=0.858571
2016-09-26 20:58:05,835 Epoch[7] Batch [37800] Speed: 10.90 samples/sec Train-Accuracy=0.844286
2016-09-26 20:58:42,479 Epoch[7] Batch [37850] Speed: 10.92 samples/sec Train-Accuracy=0.870000
2016-09-26 20:59:19,043 Epoch[7] Batch [37900] Speed: 10.94 samples/sec Train-Accuracy=0.834286
2016-09-26 20:59:55,735 Epoch[7] Batch [37950] Speed: 10.90 samples/sec Train-Accuracy=0.845714
2016-09-26 21:00:32,384 Epoch[7] Batch [38000] Speed: 10.91 samples/sec Train-Accuracy=0.830000
2016-09-26 21:01:08,485 Epoch[7] Batch [38050] Speed: 11.08 samples/sec Train-Accuracy=0.845714
2016-09-26 21:01:44,566 Epoch[7] Batch [38100] Speed: 11.09 samples/sec Train-Accuracy=0.835714
2016-09-26 21:02:24,541 Epoch[7] Batch [38150] Speed: 10.01 samples/sec Train-Accuracy=0.804286
2016-09-26 21:03:04,871 Epoch[7] Batch [38200] Speed: 9.92 samples/sec Train-Accuracy=0.852857
2016-09-26 21:03:44,214 Epoch[7] Batch [38250] Speed: 10.17 samples/sec Train-Accuracy=0.807143
2016-09-26 21:04:25,110 Epoch[7] Batch [38300] Speed: 9.78 samples/sec Train-Accuracy=0.845714
2016-09-26 21:05:05,728 Epoch[7] Batch [38350] Speed: 9.85 samples/sec Train-Accuracy=0.854286
2016-09-26 21:05:44,123 Epoch[7] Batch [38400] Speed: 10.42 samples/sec Train-Accuracy=0.812857
2016-09-26 21:06:23,784 Epoch[7] Batch [38450] Speed: 10.09 samples/sec Train-Accuracy=0.831429
2016-09-26 21:07:03,531 Epoch[7] Batch [38500] Speed: 10.06 samples/sec Train-Accuracy=0.832857
2016-09-26 21:07:42,648 Epoch[7] Batch [38550] Speed: 10.23 samples/sec Train-Accuracy=0.827143
2016-09-26 21:08:21,689 Epoch[7] Batch [38600] Speed: 10.25 samples/sec Train-Accuracy=0.857143
2016-09-26 21:08:59,630 Epoch[7] Batch [38650] Speed: 10.54 samples/sec Train-Accuracy=0.812857
2016-09-26 21:09:36,502 Epoch[7] Batch [38700] Speed: 10.85 samples/sec Train-Accuracy=0.848571
2016-09-26 21:10:12,803 Epoch[7] Batch [38750] Speed: 11.02 samples/sec Train-Accuracy=0.841429
2016-09-26 21:10:48,862 Epoch[7] Batch [38800] Speed: 11.09 samples/sec Train-Accuracy=0.822857
2016-09-26 21:11:24,824 Epoch[7] Batch [38850] Speed: 11.12 samples/sec Train-Accuracy=0.838571
2016-09-26 21:12:00,974 Epoch[7] Batch [38900] Speed: 11.07 samples/sec Train-Accuracy=0.852857
2016-09-26 21:12:37,082 Epoch[7] Batch [38950] Speed: 11.08 samples/sec Train-Accuracy=0.812857
2016-09-26 21:13:13,389 Epoch[7] Batch [39000] Speed: 11.02 samples/sec Train-Accuracy=0.817143
2016-09-26 21:13:49,496 Epoch[7] Batch [39050] Speed: 11.08 samples/sec Train-Accuracy=0.830000
2016-09-26 21:14:25,631 Epoch[7] Batch [39100] Speed: 11.07 samples/sec Train-Accuracy=0.812857
2016-09-26 21:15:02,107 Epoch[7] Batch [39150] Speed: 10.97 samples/sec Train-Accuracy=0.830000
2016-09-26 21:15:38,109 Epoch[7] Batch [39200] Speed: 11.11 samples/sec Train-Accuracy=0.838571
2016-09-26 21:16:14,172 Epoch[7] Batch [39250] Speed: 11.09 samples/sec Train-Accuracy=0.837143
2016-09-26 21:16:50,349 Epoch[7] Batch [39300] Speed: 11.06 samples/sec Train-Accuracy=0.824286
2016-09-26 21:17:26,350 Epoch[7] Batch [39350] Speed: 11.11 samples/sec Train-Accuracy=0.858571
2016-09-26 21:18:02,251 Epoch[7] Batch [39400] Speed: 11.14 samples/sec Train-Accuracy=0.841429
2016-09-26 21:18:38,219 Epoch[7] Batch [39450] Speed: 11.12 samples/sec Train-Accuracy=0.825714
2016-09-26 21:19:14,214 Epoch[7] Batch [39500] Speed: 11.11 samples/sec Train-Accuracy=0.862857
2016-09-26 21:19:50,632 Epoch[7] Batch [39550] Speed: 10.98 samples/sec Train-Accuracy=0.835714
2016-09-26 21:20:27,767 Epoch[7] Batch [39600] Speed: 10.77 samples/sec Train-Accuracy=0.858571
2016-09-26 21:21:05,459 Epoch[7] Batch [39650] Speed: 10.61 samples/sec Train-Accuracy=0.822857
2016-09-26 21:21:42,741 Epoch[7] Batch [39700] Speed: 10.73 samples/sec Train-Accuracy=0.830000
2016-09-26 21:22:19,846 Epoch[7] Batch [39750] Speed: 10.78 samples/sec Train-Accuracy=0.851429
2016-09-26 21:22:57,333 Epoch[7] Batch [39800] Speed: 10.67 samples/sec Train-Accuracy=0.872857
2016-09-26 21:23:34,900 Epoch[7] Batch [39850] Speed: 10.65 samples/sec Train-Accuracy=0.835714
2016-09-26 21:24:12,481 Epoch[7] Batch [39900] Speed: 10.64 samples/sec Train-Accuracy=0.828571
2016-09-26 21:24:50,214 Epoch[7] Batch [39950] Speed: 10.60 samples/sec Train-Accuracy=0.828571
2016-09-26 21:25:27,743 Epoch[7] Batch [40000] Speed: 10.66 samples/sec Train-Accuracy=0.818571
2016-09-26 21:26:04,943 Epoch[7] Batch [40050] Speed: 10.75 samples/sec Train-Accuracy=0.818571
2016-09-26 21:26:43,502 Epoch[7] Batch [40100] Speed: 10.37 samples/sec Train-Accuracy=0.834286
2016-09-26 21:27:21,283 Epoch[7] Batch [40150] Speed: 10.59 samples/sec Train-Accuracy=0.828571
2016-09-26 21:27:58,894 Epoch[7] Batch [40200] Speed: 10.64 samples/sec Train-Accuracy=0.852857
2016-09-26 21:28:36,625 Epoch[7] Batch [40250] Speed: 10.60 samples/sec Train-Accuracy=0.834286
2016-09-26 21:29:14,189 Epoch[7] Batch [40300] Speed: 10.65 samples/sec Train-Accuracy=0.850000
2016-09-26 21:29:51,798 Epoch[7] Batch [40350] Speed: 10.64 samples/sec Train-Accuracy=0.814286
2016-09-26 21:30:29,916 Epoch[7] Batch [40400] Speed: 10.49 samples/sec Train-Accuracy=0.837143
2016-09-26 21:31:07,925 Epoch[7] Batch [40450] Speed: 10.52 samples/sec Train-Accuracy=0.801429
2016-09-26 21:31:46,192 Epoch[7] Batch [40500] Speed: 10.45 samples/sec Train-Accuracy=0.841429
2016-09-26 21:32:22,569 Epoch[7] Batch [40550] Speed: 11.00 samples/sec Train-Accuracy=0.832857
2016-09-26 21:32:58,731 Epoch[7] Batch [40600] Speed: 11.06 samples/sec Train-Accuracy=0.838571
2016-09-26 21:33:34,898 Epoch[7] Batch [40650] Speed: 11.06 samples/sec Train-Accuracy=0.820000
2016-09-26 21:34:13,258 Epoch[7] Batch [40700] Speed: 10.43 samples/sec Train-Accuracy=0.855714
2016-09-26 21:34:49,536 Epoch[7] Batch [40750] Speed: 11.03 samples/sec Train-Accuracy=0.832857
2016-09-26 21:35:25,608 Epoch[7] Batch [40800] Speed: 11.09 samples/sec Train-Accuracy=0.822857
2016-09-26 21:36:01,633 Epoch[7] Batch [40850] Speed: 11.10 samples/sec Train-Accuracy=0.827143
2016-09-26 21:36:37,684 Epoch[7] Batch [40900] Speed: 11.10 samples/sec Train-Accuracy=0.842857
2016-09-26 21:37:13,853 Epoch[7] Batch [40950] Speed: 11.06 samples/sec Train-Accuracy=0.805714
2016-09-26 21:37:50,195 Epoch[7] Batch [41000] Speed: 11.01 samples/sec Train-Accuracy=0.820000
2016-09-26 21:38:26,519 Epoch[7] Batch [41050] Speed: 11.01 samples/sec Train-Accuracy=0.821429
2016-09-26 21:39:02,986 Epoch[7] Batch [41100] Speed: 10.97 samples/sec Train-Accuracy=0.862857
2016-09-26 21:39:39,299 Epoch[7] Batch [41150] Speed: 11.02 samples/sec Train-Accuracy=0.842857
2016-09-26 21:40:16,787 Epoch[7] Batch [41200] Speed: 10.67 samples/sec Train-Accuracy=0.851429
2016-09-26 21:40:55,562 Epoch[7] Batch [41250] Speed: 10.32 samples/sec Train-Accuracy=0.822857
2016-09-26 21:41:33,630 Epoch[7] Batch [41300] Speed: 10.51 samples/sec Train-Accuracy=0.797143
2016-09-26 21:42:11,165 Epoch[7] Batch [41350] Speed: 10.66 samples/sec Train-Accuracy=0.822857
2016-09-26 21:42:48,114 Epoch[7] Batch [41400] Speed: 10.83 samples/sec Train-Accuracy=0.832857
2016-09-26 21:43:24,555 Epoch[7] Batch [41450] Speed: 10.98 samples/sec Train-Accuracy=0.827143
2016-09-26 21:44:04,174 Epoch[7] Batch [41500] Speed: 10.10 samples/sec Train-Accuracy=0.847143
2016-09-26 21:44:42,876 Epoch[7] Batch [41550] Speed: 10.34 samples/sec Train-Accuracy=0.838571
2016-09-26 21:45:22,400 Epoch[7] Batch [41600] Speed: 10.12 samples/sec Train-Accuracy=0.830000
2016-09-26 21:46:02,229 Epoch[7] Batch [41650] Speed: 10.04 samples/sec Train-Accuracy=0.827143
2016-09-26 21:46:38,715 Epoch[7] Batch [41700] Speed: 10.96 samples/sec Train-Accuracy=0.822857
2016-09-26 21:47:16,004 Epoch[7] Batch [41750] Speed: 10.73 samples/sec Train-Accuracy=0.817143
2016-09-26 21:47:55,635 Epoch[7] Batch [41800] Speed: 10.09 samples/sec Train-Accuracy=0.811429
2016-09-26 21:48:34,514 Epoch[7] Batch [41850] Speed: 10.29 samples/sec Train-Accuracy=0.838571
2016-09-26 21:49:13,315 Epoch[7] Batch [41900] Speed: 10.31 samples/sec Train-Accuracy=0.811429
2016-09-26 21:49:51,913 Epoch[7] Batch [41950] Speed: 10.36 samples/sec Train-Accuracy=0.841429
2016-09-26 21:50:28,119 Epoch[7] Batch [42000] Speed: 11.05 samples/sec Train-Accuracy=0.825714
2016-09-26 21:51:04,395 Epoch[7] Batch [42050] Speed: 11.03 samples/sec Train-Accuracy=0.804286
2016-09-26 21:51:40,523 Epoch[7] Batch [42100] Speed: 11.07 samples/sec Train-Accuracy=0.834286
2016-09-26 21:52:16,650 Epoch[7] Batch [42150] Speed: 11.07 samples/sec Train-Accuracy=0.824286
2016-09-26 21:52:52,796 Epoch[7] Batch [42200] Speed: 11.07 samples/sec Train-Accuracy=0.828571
2016-09-26 21:53:29,673 Epoch[7] Batch [42250] Speed: 10.85 samples/sec Train-Accuracy=0.832857
2016-09-26 21:54:06,619 Epoch[7] Batch [42300] Speed: 10.83 samples/sec Train-Accuracy=0.838571
2016-09-26 21:54:43,164 Epoch[7] Batch [42350] Speed: 10.95 samples/sec Train-Accuracy=0.828571
2016-09-26 21:55:19,317 Epoch[7] Batch [42400] Speed: 11.06 samples/sec Train-Accuracy=0.834286
2016-09-26 21:55:56,695 Epoch[7] Batch [42450] Speed: 10.70 samples/sec Train-Accuracy=0.842857
2016-09-26 21:56:33,080 Epoch[7] Batch [42500] Speed: 10.99 samples/sec Train-Accuracy=0.827143
2016-09-26 21:57:09,210 Epoch[7] Batch [42550] Speed: 11.07 samples/sec Train-Accuracy=0.834286
2016-09-26 21:57:45,333 Epoch[7] Batch [42600] Speed: 11.07 samples/sec Train-Accuracy=0.864286
2016-09-26 21:58:21,429 Epoch[7] Batch [42650] Speed: 11.08 samples/sec Train-Accuracy=0.851429
2016-09-26 21:58:57,510 Epoch[7] Batch [42700] Speed: 11.09 samples/sec Train-Accuracy=0.835714
2016-09-26 21:59:33,579 Epoch[7] Batch [42750] Speed: 11.09 samples/sec Train-Accuracy=0.858571
2016-09-26 22:00:09,713 Epoch[7] Batch [42800] Speed: 11.07 samples/sec Train-Accuracy=0.835714
2016-09-26 22:00:45,799 Epoch[7] Batch [42850] Speed: 11.08 samples/sec Train-Accuracy=0.858571
2016-09-26 22:01:21,999 Epoch[7] Batch [42900] Speed: 11.05 samples/sec Train-Accuracy=0.790000
2016-09-26 22:01:58,124 Epoch[7] Batch [42950] Speed: 11.07 samples/sec Train-Accuracy=0.818571
2016-09-26 22:02:34,256 Epoch[7] Batch [43000] Speed: 11.07 samples/sec Train-Accuracy=0.817143
2016-09-26 22:03:10,360 Epoch[7] Batch [43050] Speed: 11.08 samples/sec Train-Accuracy=0.865714
2016-09-26 22:03:46,525 Epoch[7] Batch [43100] Speed: 11.06 samples/sec Train-Accuracy=0.807143
2016-09-26 22:04:22,727 Epoch[7] Batch [43150] Speed: 11.05 samples/sec Train-Accuracy=0.822857
2016-09-26 22:04:58,884 Epoch[7] Batch [43200] Speed: 11.06 samples/sec Train-Accuracy=0.825714
2016-09-26 22:05:35,017 Epoch[7] Batch [43250] Speed: 11.07 samples/sec Train-Accuracy=0.855714
2016-09-26 22:06:11,142 Epoch[7] Batch [43300] Speed: 11.07 samples/sec Train-Accuracy=0.841429
2016-09-26 22:06:47,346 Epoch[7] Batch [43350] Speed: 11.05 samples/sec Train-Accuracy=0.831429
2016-09-26 22:07:24,376 Epoch[7] Batch [43400] Speed: 10.80 samples/sec Train-Accuracy=0.842857
2016-09-26 22:08:01,951 Epoch[7] Batch [43450] Speed: 10.65 samples/sec Train-Accuracy=0.834286
2016-09-26 22:08:39,566 Epoch[7] Batch [43500] Speed: 10.63 samples/sec Train-Accuracy=0.808571
2016-09-26 22:09:17,374 Epoch[7] Batch [43550] Speed: 10.58 samples/sec Train-Accuracy=0.838571
2016-09-26 22:09:54,926 Epoch[7] Batch [43600] Speed: 10.65 samples/sec Train-Accuracy=0.867143
2016-09-26 22:10:33,084 Epoch[7] Batch [43650] Speed: 10.48 samples/sec Train-Accuracy=0.828571
2016-09-26 22:11:09,489 Epoch[7] Batch [43700] Speed: 10.99 samples/sec Train-Accuracy=0.831429
2016-09-26 22:11:45,595 Epoch[7] Batch [43750] Speed: 11.08 samples/sec Train-Accuracy=0.810000
2016-09-26 22:12:21,667 Epoch[7] Batch [43800] Speed: 11.09 samples/sec Train-Accuracy=0.840000
2016-09-26 22:12:57,736 Epoch[7] Batch [43850] Speed: 11.09 samples/sec Train-Accuracy=0.815714
2016-09-26 22:13:33,845 Epoch[7] Batch [43900] Speed: 11.08 samples/sec Train-Accuracy=0.858571
2016-09-26 22:14:09,872 Epoch[7] Batch [43950] Speed: 11.10 samples/sec Train-Accuracy=0.842857
2016-09-26 22:14:46,045 Epoch[7] Batch [44000] Speed: 11.06 samples/sec Train-Accuracy=0.837143
2016-09-26 22:15:23,566 Epoch[7] Batch [44050] Speed: 10.66 samples/sec Train-Accuracy=0.828571
2016-09-26 22:16:02,146 Epoch[7] Batch [44100] Speed: 10.37 samples/sec Train-Accuracy=0.814286
2016-09-26 22:16:41,520 Epoch[7] Batch [44150] Speed: 10.16 samples/sec Train-Accuracy=0.838571
2016-09-26 22:17:20,758 Epoch[7] Batch [44200] Speed: 10.19 samples/sec Train-Accuracy=0.861429
2016-09-26 22:17:59,565 Epoch[7] Batch [44250] Speed: 10.31 samples/sec Train-Accuracy=0.852857
2016-09-26 22:18:36,764 Epoch[7] Batch [44300] Speed: 10.75 samples/sec Train-Accuracy=0.821429
2016-09-26 22:19:12,968 Epoch[7] Batch [44350] Speed: 11.05 samples/sec Train-Accuracy=0.861429
2016-09-26 22:19:49,180 Epoch[7] Batch [44400] Speed: 11.05 samples/sec Train-Accuracy=0.821429
2016-09-26 22:20:26,239 Epoch[7] Batch [44450] Speed: 10.79 samples/sec Train-Accuracy=0.847143
2016-09-26 22:21:04,457 Epoch[7] Batch [44500] Speed: 10.47 samples/sec Train-Accuracy=0.838571
2016-09-26 22:21:43,046 Epoch[7] Batch [44550] Speed: 10.37 samples/sec Train-Accuracy=0.828571
2016-09-26 22:22:19,346 Epoch[7] Batch [44600] Speed: 11.02 samples/sec Train-Accuracy=0.824286
2016-09-26 22:22:55,915 Epoch[7] Batch [44650] Speed: 10.94 samples/sec Train-Accuracy=0.804286
2016-09-26 22:23:32,127 Epoch[7] Batch [44700] Speed: 11.05 samples/sec Train-Accuracy=0.827143
2016-09-26 22:24:08,318 Epoch[7] Batch [44750] Speed: 11.05 samples/sec Train-Accuracy=0.830000
2016-09-26 22:24:44,499 Epoch[7] Batch [44800] Speed: 11.06 samples/sec Train-Accuracy=0.821429
2016-09-26 22:25:21,390 Epoch[7] Batch [44850] Speed: 10.84 samples/sec Train-Accuracy=0.841429
2016-09-26 22:25:57,586 Epoch[7] Batch [44900] Speed: 11.05 samples/sec Train-Accuracy=0.840000
2016-09-26 22:26:33,768 Epoch[7] Batch [44950] Speed: 11.06 samples/sec Train-Accuracy=0.820000
2016-09-26 22:27:09,945 Epoch[7] Batch [45000] Speed: 11.06 samples/sec Train-Accuracy=0.810000
2016-09-26 22:27:46,182 Epoch[7] Batch [45050] Speed: 11.04 samples/sec Train-Accuracy=0.835714
2016-09-26 22:28:22,396 Epoch[7] Batch [45100] Speed: 11.05 samples/sec Train-Accuracy=0.800000
2016-09-26 22:28:58,553 Epoch[7] Batch [45150] Speed: 11.06 samples/sec Train-Accuracy=0.797143
2016-09-26 22:29:34,808 Epoch[7] Batch [45200] Speed: 11.03 samples/sec Train-Accuracy=0.842857
2016-09-26 22:30:12,657 Epoch[7] Batch [45250] Speed: 10.57 samples/sec Train-Accuracy=0.812857
2016-09-26 22:30:52,037 Epoch[7] Batch [45300] Speed: 10.16 samples/sec Train-Accuracy=0.845714
2016-09-26 22:31:29,917 Epoch[7] Batch [45350] Speed: 10.56 samples/sec Train-Accuracy=0.842857
2016-09-26 22:32:08,095 Epoch[7] Batch [45400] Speed: 10.48 samples/sec Train-Accuracy=0.840000
2016-09-26 22:32:46,340 Epoch[7] Batch [45450] Speed: 10.46 samples/sec Train-Accuracy=0.850000
2016-09-26 22:33:22,834 Epoch[7] Batch [45500] Speed: 10.96 samples/sec Train-Accuracy=0.827143
2016-09-26 22:34:01,303 Epoch[7] Batch [45550] Speed: 10.40 samples/sec Train-Accuracy=0.817143
2016-09-26 22:34:38,814 Epoch[7] Batch [45600] Speed: 10.66 samples/sec Train-Accuracy=0.815714
2016-09-26 22:35:15,944 Epoch[7] Batch [45650] Speed: 10.77 samples/sec Train-Accuracy=0.838571
2016-09-26 22:35:53,106 Epoch[7] Batch [45700] Speed: 10.76 samples/sec Train-Accuracy=0.830000
2016-09-26 22:36:29,214 Epoch[7] Batch [45750] Speed: 11.08 samples/sec Train-Accuracy=0.822857
2016-09-26 22:37:05,259 Epoch[7] Batch [45800] Speed: 11.10 samples/sec Train-Accuracy=0.837143
2016-09-26 22:37:41,271 Epoch[7] Batch [45850] Speed: 11.11 samples/sec Train-Accuracy=0.847143
2016-09-26 22:38:17,313 Epoch[7] Batch [45900] Speed: 11.10 samples/sec Train-Accuracy=0.834286
2016-09-26 22:38:53,368 Epoch[7] Batch [45950] Speed: 11.09 samples/sec Train-Accuracy=0.842857
2016-09-26 22:39:29,396 Epoch[7] Batch [46000] Speed: 11.10 samples/sec Train-Accuracy=0.818571
2016-09-26 22:40:05,294 Epoch[7] Batch [46050] Speed: 11.14 samples/sec Train-Accuracy=0.852857
2016-09-26 22:40:41,413 Epoch[7] Batch [46100] Speed: 11.07 samples/sec Train-Accuracy=0.818571
2016-09-26 22:41:17,422 Epoch[7] Batch [46150] Speed: 11.11 samples/sec Train-Accuracy=0.880000
2016-09-26 22:41:53,401 Epoch[7] Batch [46200] Speed: 11.12 samples/sec Train-Accuracy=0.828571
2016-09-26 22:42:29,329 Epoch[7] Batch [46250] Speed: 11.13 samples/sec Train-Accuracy=0.827143
2016-09-26 22:43:05,380 Epoch[7] Batch [46300] Speed: 11.10 samples/sec Train-Accuracy=0.830000
2016-09-26 22:43:41,407 Epoch[7] Batch [46350] Speed: 11.10 samples/sec Train-Accuracy=0.858571
2016-09-26 22:44:20,383 Epoch[7] Batch [46400] Speed: 10.26 samples/sec Train-Accuracy=0.837143
2016-09-26 22:44:59,353 Epoch[7] Batch [46450] Speed: 10.26 samples/sec Train-Accuracy=0.861429
2016-09-26 22:45:37,387 Epoch[7] Batch [46500] Speed: 10.52 samples/sec Train-Accuracy=0.848571
2016-09-26 22:46:14,087 Epoch[7] Batch [46550] Speed: 10.90 samples/sec Train-Accuracy=0.858571
2016-09-26 22:46:50,737 Epoch[7] Batch [46600] Speed: 10.91 samples/sec Train-Accuracy=0.810000
2016-09-26 22:47:26,984 Epoch[7] Batch [46650] Speed: 11.04 samples/sec Train-Accuracy=0.808571
2016-09-26 22:48:03,211 Epoch[7] Batch [46700] Speed: 11.04 samples/sec Train-Accuracy=0.827143
2016-09-26 22:48:39,467 Epoch[7] Batch [46750] Speed: 11.03 samples/sec Train-Accuracy=0.805714
2016-09-26 22:49:15,915 Epoch[7] Batch [46800] Speed: 10.97 samples/sec Train-Accuracy=0.850000
2016-09-26 22:49:52,436 Epoch[7] Batch [46850] Speed: 10.95 samples/sec Train-Accuracy=0.831429
2016-09-26 22:50:29,493 Epoch[7] Batch [46900] Speed: 10.79 samples/sec Train-Accuracy=0.842857
2016-09-26 22:51:06,783 Epoch[7] Batch [46950] Speed: 10.73 samples/sec Train-Accuracy=0.794286
2016-09-26 22:51:43,501 Epoch[7] Batch [47000] Speed: 10.89 samples/sec Train-Accuracy=0.834286
2016-09-26 22:52:19,791 Epoch[7] Batch [47050] Speed: 11.02 samples/sec Train-Accuracy=0.837143
2016-09-26 22:52:56,077 Epoch[7] Batch [47100] Speed: 11.02 samples/sec Train-Accuracy=0.842857
2016-09-26 22:53:32,378 Epoch[7] Batch [47150] Speed: 11.02 samples/sec Train-Accuracy=0.798571
2016-09-26 22:54:10,825 Epoch[7] Batch [47200] Speed: 10.40 samples/sec Train-Accuracy=0.815714
2016-09-26 22:54:50,339 Epoch[7] Batch [47250] Speed: 10.12 samples/sec Train-Accuracy=0.808571
2016-09-26 22:55:30,772 Epoch[7] Batch [47300] Speed: 9.89 samples/sec Train-Accuracy=0.804286
2016-09-26 22:56:10,687 Epoch[7] Batch [47350] Speed: 10.02 samples/sec Train-Accuracy=0.787143
2016-09-26 22:56:49,813 Epoch[7] Batch [47400] Speed: 10.22 samples/sec Train-Accuracy=0.827143
2016-09-26 22:57:28,379 Epoch[7] Batch [47450] Speed: 10.37 samples/sec Train-Accuracy=0.817143
2016-09-26 22:58:06,961 Epoch[7] Batch [47500] Speed: 10.37 samples/sec Train-Accuracy=0.860000
2016-09-26 22:58:45,556 Epoch[7] Batch [47550] Speed: 10.36 samples/sec Train-Accuracy=0.835714
2016-09-26 22:59:23,598 Epoch[7] Batch [47600] Speed: 10.51 samples/sec Train-Accuracy=0.824286
2016-09-26 23:00:00,562 Epoch[7] Batch [47650] Speed: 10.82 samples/sec Train-Accuracy=0.850000
2016-09-26 23:00:37,166 Epoch[7] Batch [47700] Speed: 10.93 samples/sec Train-Accuracy=0.832857
2016-09-26 23:01:13,671 Epoch[7] Batch [47750] Speed: 10.96 samples/sec Train-Accuracy=0.861429
2016-09-26 23:01:50,766 Epoch[7] Batch [47800] Speed: 10.78 samples/sec Train-Accuracy=0.848571
2016-09-26 23:02:28,103 Epoch[7] Batch [47850] Speed: 10.71 samples/sec Train-Accuracy=0.820000
2016-09-26 23:03:05,451 Epoch[7] Batch [47900] Speed: 10.71 samples/sec Train-Accuracy=0.834286
2016-09-26 23:03:42,329 Epoch[7] Batch [47950] Speed: 10.85 samples/sec Train-Accuracy=0.832857
2016-09-26 23:04:18,456 Epoch[7] Batch [48000] Speed: 11.07 samples/sec Train-Accuracy=0.828571
2016-09-26 23:04:54,473 Epoch[7] Batch [48050] Speed: 11.11 samples/sec Train-Accuracy=0.841429
2016-09-26 23:05:30,518 Epoch[7] Batch [48100] Speed: 11.10 samples/sec Train-Accuracy=0.830000
2016-09-26 23:06:06,631 Epoch[7] Batch [48150] Speed: 11.08 samples/sec Train-Accuracy=0.854286
2016-09-26 23:06:42,725 Epoch[7] Batch [48200] Speed: 11.08 samples/sec Train-Accuracy=0.820000
2016-09-26 23:07:18,784 Epoch[7] Batch [48250] Speed: 11.09 samples/sec Train-Accuracy=0.848571
2016-09-26 23:07:54,872 Epoch[7] Batch [48300] Speed: 11.08 samples/sec Train-Accuracy=0.837143
2016-09-26 23:08:30,966 Epoch[7] Batch [48350] Speed: 11.08 samples/sec Train-Accuracy=0.840000
2016-09-26 23:09:07,045 Epoch[7] Batch [48400] Speed: 11.09 samples/sec Train-Accuracy=0.810000
2016-09-26 23:09:42,996 Epoch[7] Batch [48450] Speed: 11.13 samples/sec Train-Accuracy=0.845714
2016-09-26 23:10:18,991 Epoch[7] Batch [48500] Speed: 11.11 samples/sec Train-Accuracy=0.851429
2016-09-26 23:10:54,941 Epoch[7] Batch [48550] Speed: 11.13 samples/sec Train-Accuracy=0.818571
2016-09-26 23:11:30,922 Epoch[7] Batch [48600] Speed: 11.12 samples/sec Train-Accuracy=0.795714
2016-09-26 23:12:06,859 Epoch[7] Batch [48650] Speed: 11.13 samples/sec Train-Accuracy=0.855714
2016-09-26 23:12:42,865 Epoch[7] Batch [48700] Speed: 11.11 samples/sec Train-Accuracy=0.817143
2016-09-26 23:13:18,845 Epoch[7] Batch [48750] Speed: 11.12 samples/sec Train-Accuracy=0.847143
2016-09-26 23:13:54,771 Epoch[7] Batch [48800] Speed: 11.13 samples/sec Train-Accuracy=0.848571
2016-09-26 23:14:30,709 Epoch[7] Batch [48850] Speed: 11.13 samples/sec Train-Accuracy=0.867143
2016-09-26 23:15:06,757 Epoch[7] Batch [48900] Speed: 11.10 samples/sec Train-Accuracy=0.862857
2016-09-26 23:15:42,740 Epoch[7] Batch [48950] Speed: 11.12 samples/sec Train-Accuracy=0.852857
2016-09-26 23:16:18,744 Epoch[7] Batch [49000] Speed: 11.11 samples/sec Train-Accuracy=0.824286
2016-09-26 23:16:54,772 Epoch[7] Batch [49050] Speed: 11.10 samples/sec Train-Accuracy=0.838571
2016-09-26 23:17:32,780 Epoch[7] Batch [49100] Speed: 10.52 samples/sec Train-Accuracy=0.822857
2016-09-26 23:18:13,419 Epoch[7] Batch [49150] Speed: 9.84 samples/sec Train-Accuracy=0.832857
2016-09-26 23:18:52,937 Epoch[7] Batch [49200] Speed: 10.12 samples/sec Train-Accuracy=0.827143
2016-09-26 23:19:29,696 Epoch[7] Batch [49250] Speed: 10.88 samples/sec Train-Accuracy=0.837143
2016-09-26 23:20:06,711 Epoch[7] Batch [49300] Speed: 10.81 samples/sec Train-Accuracy=0.808571
2016-09-26 23:20:42,985 Epoch[7] Batch [49350] Speed: 11.03 samples/sec Train-Accuracy=0.831429
2016-09-26 23:21:19,042 Epoch[7] Batch [49400] Speed: 11.09 samples/sec Train-Accuracy=0.810000
2016-09-26 23:21:55,026 Epoch[7] Batch [49450] Speed: 11.12 samples/sec Train-Accuracy=0.817143
2016-09-26 23:22:31,046 Epoch[7] Batch [49500] Speed: 11.11 samples/sec Train-Accuracy=0.865714
2016-09-26 23:23:07,504 Epoch[7] Batch [49550] Speed: 10.97 samples/sec Train-Accuracy=0.832857
2016-09-26 23:23:44,985 Epoch[7] Batch [49600] Speed: 10.67 samples/sec Train-Accuracy=0.838571
2016-09-26 23:24:22,543 Epoch[7] Batch [49650] Speed: 10.65 samples/sec Train-Accuracy=0.830000
2016-09-26 23:25:00,170 Epoch[7] Batch [49700] Speed: 10.63 samples/sec Train-Accuracy=0.844286
2016-09-26 23:25:37,871 Epoch[7] Batch [49750] Speed: 10.61 samples/sec Train-Accuracy=0.827143
2016-09-26 23:26:15,449 Epoch[7] Batch [49800] Speed: 10.64 samples/sec Train-Accuracy=0.845714
2016-09-26 23:26:52,093 Epoch[7] Batch [49850] Speed: 10.92 samples/sec Train-Accuracy=0.840000
2016-09-26 23:27:28,334 Epoch[7] Batch [49900] Speed: 11.04 samples/sec Train-Accuracy=0.854286
2016-09-26 23:28:04,429 Epoch[7] Batch [49950] Speed: 11.08 samples/sec Train-Accuracy=0.840000
2016-09-26 23:28:44,065 Epoch[7] Batch [50000] Speed: 10.09 samples/sec Train-Accuracy=0.808571
2016-09-26 23:29:22,057 Epoch[7] Batch [50050] Speed: 10.53 samples/sec Train-Accuracy=0.815714
2016-09-26 23:30:00,157 Epoch[7] Batch [50100] Speed: 10.50 samples/sec Train-Accuracy=0.842857
2016-09-26 23:30:39,756 Epoch[7] Batch [50150] Speed: 10.10 samples/sec Train-Accuracy=0.847143
2016-09-26 23:31:18,105 Epoch[7] Batch [50200] Speed: 10.43 samples/sec Train-Accuracy=0.827143
2016-09-26 23:31:56,153 Epoch[7] Batch [50250] Speed: 10.51 samples/sec Train-Accuracy=0.828571
2016-09-26 23:32:34,267 Epoch[7] Batch [50300] Speed: 10.49 samples/sec Train-Accuracy=0.825714
2016-09-26 23:33:13,256 Epoch[7] Batch [50350] Speed: 10.26 samples/sec Train-Accuracy=0.824286
2016-09-26 23:33:52,033 Epoch[7] Batch [50400] Speed: 10.32 samples/sec Train-Accuracy=0.851429
2016-09-26 23:34:30,935 Epoch[7] Batch [50450] Speed: 10.28 samples/sec Train-Accuracy=0.822857
2016-09-26 23:35:09,500 Epoch[7] Batch [50500] Speed: 10.37 samples/sec Train-Accuracy=0.831429
2016-09-26 23:35:48,483 Epoch[7] Batch [50550] Speed: 10.26 samples/sec Train-Accuracy=0.862857
2016-09-26 23:36:28,367 Epoch[7] Batch [50600] Speed: 10.03 samples/sec Train-Accuracy=0.837143
2016-09-26 23:37:05,957 Epoch[7] Batch [50650] Speed: 10.64 samples/sec Train-Accuracy=0.841429
2016-09-26 23:37:43,529 Epoch[7] Batch [50700] Speed: 10.65 samples/sec Train-Accuracy=0.827143
2016-09-26 23:38:21,043 Epoch[7] Batch [50750] Speed: 10.66 samples/sec Train-Accuracy=0.835714
2016-09-26 23:38:58,602 Epoch[7] Batch [50800] Speed: 10.65 samples/sec Train-Accuracy=0.840000
2016-09-26 23:39:36,232 Epoch[7] Batch [50850] Speed: 10.63 samples/sec Train-Accuracy=0.864286
2016-09-26 23:40:13,891 Epoch[7] Batch [50900] Speed: 10.62 samples/sec Train-Accuracy=0.841429
2016-09-26 23:40:51,498 Epoch[7] Batch [50950] Speed: 10.64 samples/sec Train-Accuracy=0.855714
2016-09-26 23:41:28,585 Epoch[7] Batch [51000] Speed: 10.79 samples/sec Train-Accuracy=0.825714
2016-09-26 23:42:04,673 Epoch[7] Batch [51050] Speed: 11.08 samples/sec Train-Accuracy=0.817143
2016-09-26 23:42:40,733 Epoch[7] Batch [51100] Speed: 11.09 samples/sec Train-Accuracy=0.844286
2016-09-26 23:43:16,688 Epoch[7] Batch [51150] Speed: 11.13 samples/sec Train-Accuracy=0.808571
2016-09-26 23:43:52,619 Epoch[7] Batch [51200] Speed: 11.13 samples/sec Train-Accuracy=0.827143
2016-09-26 23:44:28,673 Epoch[7] Batch [51250] Speed: 11.09 samples/sec Train-Accuracy=0.850000
2016-09-26 23:45:05,902 Epoch[7] Batch [51300] Speed: 10.74 samples/sec Train-Accuracy=0.822857
2016-09-26 23:45:41,950 Epoch[7] Batch [51350] Speed: 11.10 samples/sec Train-Accuracy=0.838571
2016-09-26 23:46:18,046 Epoch[7] Batch [51400] Speed: 11.08 samples/sec Train-Accuracy=0.835714
2016-09-26 23:46:54,209 Epoch[7] Batch [51450] Speed: 11.06 samples/sec Train-Accuracy=0.818571
2016-09-26 23:47:30,439 Epoch[7] Batch [51500] Speed: 11.04 samples/sec Train-Accuracy=0.837143
2016-09-26 23:48:06,854 Epoch[7] Batch [51550] Speed: 10.98 samples/sec Train-Accuracy=0.804286
2016-09-26 23:48:44,541 Epoch[7] Batch [51600] Speed: 10.61 samples/sec Train-Accuracy=0.842857
2016-09-26 23:49:22,282 Epoch[7] Batch [51650] Speed: 10.60 samples/sec Train-Accuracy=0.802857
2016-09-26 23:49:58,390 Epoch[7] Batch [51700] Speed: 11.08 samples/sec Train-Accuracy=0.831429
2016-09-26 23:50:34,636 Epoch[7] Batch [51750] Speed: 11.04 samples/sec Train-Accuracy=0.810000
2016-09-26 23:51:11,588 Epoch[7] Batch [51800] Speed: 10.82 samples/sec Train-Accuracy=0.841429
2016-09-26 23:51:48,757 Epoch[7] Batch [51850] Speed: 10.76 samples/sec Train-Accuracy=0.820000
2016-09-26 23:52:26,395 Epoch[7] Batch [51900] Speed: 10.63 samples/sec Train-Accuracy=0.824286
2016-09-26 23:53:04,066 Epoch[7] Batch [51950] Speed: 10.62 samples/sec Train-Accuracy=0.852857
2016-09-26 23:53:41,556 Epoch[7] Batch [52000] Speed: 10.67 samples/sec Train-Accuracy=0.851429
2016-09-26 23:54:18,976 Epoch[7] Batch [52050] Speed: 10.69 samples/sec Train-Accuracy=0.804286
2016-09-26 23:54:55,181 Epoch[7] Batch [52100] Speed: 11.05 samples/sec Train-Accuracy=0.814286
2016-09-26 23:55:31,146 Epoch[7] Batch [52150] Speed: 11.12 samples/sec Train-Accuracy=0.817143
2016-09-26 23:56:07,086 Epoch[7] Batch [52200] Speed: 11.13 samples/sec Train-Accuracy=0.840000
2016-09-26 23:56:43,044 Epoch[7] Batch [52250] Speed: 11.12 samples/sec Train-Accuracy=0.830000
2016-09-26 23:57:19,055 Epoch[7] Batch [52300] Speed: 11.11 samples/sec Train-Accuracy=0.844286
2016-09-26 23:57:55,071 Epoch[7] Batch [52350] Speed: 11.11 samples/sec Train-Accuracy=0.812857
2016-09-26 23:58:31,190 Epoch[7] Batch [52400] Speed: 11.07 samples/sec Train-Accuracy=0.827143
2016-09-26 23:59:07,307 Epoch[7] Batch [52450] Speed: 11.08 samples/sec Train-Accuracy=0.857143
2016-09-26 23:59:43,594 Epoch[7] Batch [52500] Speed: 11.02 samples/sec Train-Accuracy=0.842857
2016-09-27 00:00:20,703 Epoch[7] Batch [52550] Speed: 10.78 samples/sec Train-Accuracy=0.831429
2016-09-27 00:00:57,400 Epoch[7] Batch [52600] Speed: 10.90 samples/sec Train-Accuracy=0.804286
2016-09-27 00:01:33,743 Epoch[7] Batch [52650] Speed: 11.01 samples/sec Train-Accuracy=0.835714
2016-09-27 00:02:13,037 Epoch[7] Batch [52700] Speed: 10.18 samples/sec Train-Accuracy=0.845714
2016-09-27 00:02:50,386 Epoch[7] Batch [52750] Speed: 10.71 samples/sec Train-Accuracy=0.867143
2016-09-27 00:03:26,258 Epoch[7] Batch [52800] Speed: 11.15 samples/sec Train-Accuracy=0.831429
2016-09-27 00:04:02,194 Epoch[7] Batch [52850] Speed: 11.13 samples/sec Train-Accuracy=0.845714
2016-09-27 00:04:38,537 Epoch[7] Batch [52900] Speed: 11.01 samples/sec Train-Accuracy=0.850000
2016-09-27 00:05:15,779 Epoch[7] Batch [52950] Speed: 10.74 samples/sec Train-Accuracy=0.864286
2016-09-27 00:05:53,061 Epoch[7] Batch [53000] Speed: 10.73 samples/sec Train-Accuracy=0.804286
2016-09-27 00:06:30,209 Epoch[7] Batch [53050] Speed: 10.77 samples/sec Train-Accuracy=0.835714
2016-09-27 00:07:07,849 Epoch[7] Batch [53100] Speed: 10.63 samples/sec Train-Accuracy=0.820000
2016-09-27 00:07:45,553 Epoch[7] Batch [53150] Speed: 10.61 samples/sec Train-Accuracy=0.847143
2016-09-27 00:08:22,756 Epoch[7] Batch [53200] Speed: 10.75 samples/sec Train-Accuracy=0.822857
2016-09-27 00:08:59,551 Epoch[7] Batch [53250] Speed: 10.87 samples/sec Train-Accuracy=0.832857
2016-09-27 00:09:35,552 Epoch[7] Batch [53300] Speed: 11.11 samples/sec Train-Accuracy=0.828571
2016-09-27 00:10:11,561 Epoch[7] Batch [53350] Speed: 11.11 samples/sec Train-Accuracy=0.837143
2016-09-27 00:10:47,590 Epoch[7] Batch [53400] Speed: 11.10 samples/sec Train-Accuracy=0.857143
2016-09-27 00:11:23,716 Epoch[7] Batch [53450] Speed: 11.07 samples/sec Train-Accuracy=0.844286
2016-09-27 00:12:00,057 Epoch[7] Batch [53500] Speed: 11.01 samples/sec Train-Accuracy=0.845714
2016-09-27 00:12:39,206 Epoch[7] Batch [53550] Speed: 10.22 samples/sec Train-Accuracy=0.852857
2016-09-27 00:13:18,257 Epoch[7] Batch [53600] Speed: 10.24 samples/sec Train-Accuracy=0.848571
2016-09-27 00:13:54,342 Epoch[7] Batch [53650] Speed: 11.09 samples/sec Train-Accuracy=0.822857
2016-09-27 00:14:30,743 Epoch[7] Batch [53700] Speed: 10.99 samples/sec Train-Accuracy=0.850000
2016-09-27 00:15:07,940 Epoch[7] Batch [53750] Speed: 10.75 samples/sec Train-Accuracy=0.852857
2016-09-27 00:15:45,002 Epoch[7] Batch [53800] Speed: 10.79 samples/sec Train-Accuracy=0.855714
2016-09-27 00:16:22,756 Epoch[7] Batch [53850] Speed: 10.60 samples/sec Train-Accuracy=0.825714
2016-09-27 00:16:59,731 Epoch[7] Batch [53900] Speed: 10.82 samples/sec Train-Accuracy=0.822857
2016-09-27 00:17:36,695 Epoch[7] Batch [53950] Speed: 10.82 samples/sec Train-Accuracy=0.834286
2016-09-27 00:18:14,315 Epoch[7] Batch [54000] Speed: 10.63 samples/sec Train-Accuracy=0.828571
2016-09-27 00:18:51,671 Epoch[7] Batch [54050] Speed: 10.71 samples/sec Train-Accuracy=0.860000
2016-09-27 00:19:28,162 Epoch[7] Batch [54100] Speed: 10.96 samples/sec Train-Accuracy=0.810000
2016-09-27 00:20:05,078 Epoch[7] Batch [54150] Speed: 10.84 samples/sec Train-Accuracy=0.821429
2016-09-27 00:20:42,532 Epoch[7] Batch [54200] Speed: 10.68 samples/sec Train-Accuracy=0.818571
2016-09-27 00:21:19,689 Epoch[7] Batch [54250] Speed: 10.77 samples/sec Train-Accuracy=0.837143
2016-09-27 00:21:56,684 Epoch[7] Batch [54300] Speed: 10.81 samples/sec Train-Accuracy=0.845714
2016-09-27 00:22:34,305 Epoch[7] Batch [54350] Speed: 10.63 samples/sec Train-Accuracy=0.798571
2016-09-27 00:23:11,450 Epoch[7] Batch [54400] Speed: 10.77 samples/sec Train-Accuracy=0.832857
2016-09-27 00:23:48,983 Epoch[7] Batch [54450] Speed: 10.66 samples/sec Train-Accuracy=0.824286
2016-09-27 00:24:26,713 Epoch[7] Batch [54500] Speed: 10.60 samples/sec Train-Accuracy=0.861429
2016-09-27 00:25:04,418 Epoch[7] Batch [54550] Speed: 10.61 samples/sec Train-Accuracy=0.844286
2016-09-27 00:25:42,143 Epoch[7] Batch [54600] Speed: 10.60 samples/sec Train-Accuracy=0.807143
2016-09-27 00:26:19,751 Epoch[7] Batch [54650] Speed: 10.64 samples/sec Train-Accuracy=0.837143
2016-09-27 00:26:57,574 Epoch[7] Batch [54700] Speed: 10.58 samples/sec Train-Accuracy=0.848571
2016-09-27 00:27:34,023 Epoch[7] Batch [54750] Speed: 10.97 samples/sec Train-Accuracy=0.851429
2016-09-27 00:28:10,117 Epoch[7] Batch [54800] Speed: 11.08 samples/sec Train-Accuracy=0.831429
2016-09-27 00:28:46,241 Epoch[7] Batch [54850] Speed: 11.07 samples/sec Train-Accuracy=0.887143
2016-09-27 00:29:22,250 Epoch[7] Batch [54900] Speed: 11.11 samples/sec Train-Accuracy=0.831429
2016-09-27 00:29:58,245 Epoch[7] Batch [54950] Speed: 11.11 samples/sec Train-Accuracy=0.811429
2016-09-27 00:30:36,258 Epoch[7] Batch [55000] Speed: 10.52 samples/sec Train-Accuracy=0.831429
2016-09-27 00:31:14,406 Epoch[7] Batch [55050] Speed: 10.49 samples/sec Train-Accuracy=0.838571
2016-09-27 00:31:52,245 Epoch[7] Batch [55100] Speed: 10.57 samples/sec Train-Accuracy=0.871429
2016-09-27 00:32:29,766 Epoch[7] Batch [55150] Speed: 10.66 samples/sec Train-Accuracy=0.837143
2016-09-27 00:33:09,487 Epoch[7] Batch [55200] Speed: 10.07 samples/sec Train-Accuracy=0.850000
2016-09-27 00:33:48,238 Epoch[7] Batch [55250] Speed: 10.32 samples/sec Train-Accuracy=0.831429
2016-09-27 00:34:24,575 Epoch[7] Batch [55300] Speed: 11.01 samples/sec Train-Accuracy=0.817143
2016-09-27 00:35:00,684 Epoch[7] Batch [55350] Speed: 11.08 samples/sec Train-Accuracy=0.817143
2016-09-27 00:35:36,823 Epoch[7] Batch [55400] Speed: 11.07 samples/sec Train-Accuracy=0.838571
2016-09-27 00:36:13,021 Epoch[7] Batch [55450] Speed: 11.05 samples/sec Train-Accuracy=0.815714
2016-09-27 00:36:49,198 Epoch[7] Batch [55500] Speed: 11.06 samples/sec Train-Accuracy=0.830000
2016-09-27 00:37:25,403 Epoch[7] Batch [55550] Speed: 11.05 samples/sec Train-Accuracy=0.801429
2016-09-27 00:38:05,340 Epoch[7] Batch [55600] Speed: 10.02 samples/sec Train-Accuracy=0.847143
2016-09-27 00:38:45,416 Epoch[7] Batch [55650] Speed: 9.98 samples/sec Train-Accuracy=0.812857
2016-09-27 00:39:26,566 Epoch[7] Batch [55700] Speed: 9.72 samples/sec Train-Accuracy=0.827143
2016-09-27 00:40:03,511 Epoch[7] Batch [55750] Speed: 10.83 samples/sec Train-Accuracy=0.840000
2016-09-27 00:40:40,437 Epoch[7] Batch [55800] Speed: 10.83 samples/sec Train-Accuracy=0.815714
2016-09-27 00:41:18,674 Epoch[7] Batch [55850] Speed: 10.46 samples/sec Train-Accuracy=0.827143
2016-09-27 00:41:56,989 Epoch[7] Batch [55900] Speed: 10.44 samples/sec Train-Accuracy=0.850000
2016-09-27 00:42:34,724 Epoch[7] Batch [55950] Speed: 10.60 samples/sec Train-Accuracy=0.835714
2016-09-27 00:43:12,557 Epoch[7] Batch [56000] Speed: 10.57 samples/sec Train-Accuracy=0.832857
2016-09-27 00:43:50,653 Epoch[7] Batch [56050] Speed: 10.50 samples/sec Train-Accuracy=0.808571
2016-09-27 00:44:29,127 Epoch[7] Batch [56100] Speed: 10.40 samples/sec Train-Accuracy=0.820000
2016-09-27 00:45:07,712 Epoch[7] Batch [56150] Speed: 10.37 samples/sec Train-Accuracy=0.835714
2016-09-27 00:45:46,515 Epoch[7] Batch [56200] Speed: 10.31 samples/sec Train-Accuracy=0.834286
2016-09-27 00:46:25,581 Epoch[7] Batch [56250] Speed: 10.24 samples/sec Train-Accuracy=0.821429
2016-09-27 00:47:04,768 Epoch[7] Batch [56300] Speed: 10.21 samples/sec Train-Accuracy=0.821429
2016-09-27 00:47:43,628 Epoch[7] Batch [56350] Speed: 10.29 samples/sec Train-Accuracy=0.844286
2016-09-27 00:48:22,249 Epoch[7] Batch [56400] Speed: 10.36 samples/sec Train-Accuracy=0.827143
2016-09-27 00:49:00,969 Epoch[7] Batch [56450] Speed: 10.33 samples/sec Train-Accuracy=0.852857
2016-09-27 00:49:40,923 Epoch[7] Batch [56500] Speed: 10.01 samples/sec Train-Accuracy=0.805714
2016-09-27 00:50:20,273 Epoch[7] Batch [56550] Speed: 10.17 samples/sec Train-Accuracy=0.828571
2016-09-27 00:50:59,105 Epoch[7] Batch [56600] Speed: 10.30 samples/sec Train-Accuracy=0.861429
2016-09-27 00:51:36,550 Epoch[7] Batch [56650] Speed: 10.68 samples/sec Train-Accuracy=0.837143
2016-09-27 00:52:13,869 Epoch[7] Batch [56700] Speed: 10.72 samples/sec Train-Accuracy=0.848571
2016-09-27 00:52:51,331 Epoch[7] Batch [56750] Speed: 10.68 samples/sec Train-Accuracy=0.830000
2016-09-27 00:53:28,771 Epoch[7] Batch [56800] Speed: 10.68 samples/sec Train-Accuracy=0.848571
2016-09-27 00:54:06,308 Epoch[7] Batch [56850] Speed: 10.66 samples/sec Train-Accuracy=0.862857
2016-09-27 00:54:42,722 Epoch[7] Batch [56900] Speed: 10.99 samples/sec Train-Accuracy=0.822857
2016-09-27 00:55:20,911 Epoch[7] Batch [56950] Speed: 10.47 samples/sec Train-Accuracy=0.842857
2016-09-27 00:55:59,720 Epoch[7] Batch [57000] Speed: 10.31 samples/sec Train-Accuracy=0.830000
2016-09-27 00:56:39,249 Epoch[7] Batch [57050] Speed: 10.12 samples/sec Train-Accuracy=0.828571
2016-09-27 00:57:17,630 Epoch[7] Batch [57100] Speed: 10.42 samples/sec Train-Accuracy=0.815714
2016-09-27 00:57:55,163 Epoch[7] Batch [57150] Speed: 10.66 samples/sec Train-Accuracy=0.787143
2016-09-27 00:58:32,204 Epoch[7] Batch [57200] Speed: 10.80 samples/sec Train-Accuracy=0.854286
2016-09-27 00:59:09,598 Epoch[7] Batch [57250] Speed: 10.70 samples/sec Train-Accuracy=0.808571
2016-09-27 00:59:46,713 Epoch[7] Batch [57300] Speed: 10.78 samples/sec Train-Accuracy=0.811429
2016-09-27 01:00:24,096 Epoch[7] Batch [57350] Speed: 10.70 samples/sec Train-Accuracy=0.835714
2016-09-27 01:01:01,698 Epoch[7] Batch [57400] Speed: 10.64 samples/sec Train-Accuracy=0.821429
2016-09-27 01:01:39,426 Epoch[7] Batch [57450] Speed: 10.60 samples/sec Train-Accuracy=0.841429
2016-09-27 01:02:16,553 Epoch[7] Batch [57500] Speed: 10.77 samples/sec Train-Accuracy=0.825714
2016-09-27 01:02:55,186 Epoch[7] Batch [57550] Speed: 10.35 samples/sec Train-Accuracy=0.812857
2016-09-27 01:03:34,786 Epoch[7] Batch [57600] Speed: 10.10 samples/sec Train-Accuracy=0.858571
2016-09-27 01:04:10,865 Epoch[7] Batch [57650] Speed: 11.09 samples/sec Train-Accuracy=0.830000
2016-09-27 01:04:46,834 Epoch[7] Batch [57700] Speed: 11.12 samples/sec Train-Accuracy=0.855714
2016-09-27 01:05:26,459 Epoch[7] Batch [57750] Speed: 10.09 samples/sec Train-Accuracy=0.822857
2016-09-27 01:06:06,484 Epoch[7] Batch [57800] Speed: 9.99 samples/sec Train-Accuracy=0.830000
2016-09-27 01:06:44,507 Epoch[7] Batch [57850] Speed: 10.52 samples/sec Train-Accuracy=0.810000
2016-09-27 01:07:20,676 Epoch[7] Batch [57900] Speed: 11.06 samples/sec Train-Accuracy=0.848571
2016-09-27 01:07:56,853 Epoch[7] Batch [57950] Speed: 11.06 samples/sec Train-Accuracy=0.848571
2016-09-27 01:08:34,790 Epoch[7] Batch [58000] Speed: 10.54 samples/sec Train-Accuracy=0.814286
2016-09-27 01:09:15,563 Epoch[7] Batch [58050] Speed: 9.81 samples/sec Train-Accuracy=0.830000
2016-09-27 01:09:55,206 Epoch[7] Batch [58100] Speed: 10.09 samples/sec Train-Accuracy=0.841429
2016-09-27 01:10:33,411 Epoch[7] Batch [58150] Speed: 10.47 samples/sec Train-Accuracy=0.845714
2016-09-27 01:11:11,785 Epoch[7] Batch [58200] Speed: 10.42 samples/sec Train-Accuracy=0.792857
2016-09-27 01:11:50,641 Epoch[7] Batch [58250] Speed: 10.29 samples/sec Train-Accuracy=0.845714
2016-09-27 01:12:29,647 Epoch[7] Batch [58300] Speed: 10.25 samples/sec Train-Accuracy=0.845714
2016-09-27 01:13:07,670 Epoch[7] Batch [58350] Speed: 10.52 samples/sec Train-Accuracy=0.832857
2016-09-27 01:13:46,569 Epoch[7] Batch [58400] Speed: 10.28 samples/sec Train-Accuracy=0.855714
2016-09-27 01:14:26,294 Epoch[7] Batch [58450] Speed: 10.07 samples/sec Train-Accuracy=0.815714
2016-09-27 01:15:04,399 Epoch[7] Batch [58500] Speed: 10.50 samples/sec Train-Accuracy=0.845714
2016-09-27 01:15:40,568 Epoch[7] Batch [58550] Speed: 11.06 samples/sec Train-Accuracy=0.830000
2016-09-27 01:16:20,963 Epoch[7] Batch [58600] Speed: 9.90 samples/sec Train-Accuracy=0.841429
2016-09-27 01:17:02,137 Epoch[7] Batch [58650] Speed: 9.71 samples/sec Train-Accuracy=0.821429
2016-09-27 01:17:43,070 Epoch[7] Batch [58700] Speed: 9.77 samples/sec Train-Accuracy=0.822857
2016-09-27 01:18:19,359 Epoch[7] Batch [58750] Speed: 11.02 samples/sec Train-Accuracy=0.840000
2016-09-27 01:18:55,399 Epoch[7] Batch [58800] Speed: 11.10 samples/sec Train-Accuracy=0.818571
2016-09-27 01:19:31,430 Epoch[7] Batch [58850] Speed: 11.10 samples/sec Train-Accuracy=0.825714
2016-09-27 01:20:07,526 Epoch[7] Batch [58900] Speed: 11.08 samples/sec Train-Accuracy=0.862857
2016-09-27 01:20:43,628 Epoch[7] Batch [58950] Speed: 11.08 samples/sec Train-Accuracy=0.837143
2016-09-27 01:21:19,785 Epoch[7] Batch [59000] Speed: 11.06 samples/sec Train-Accuracy=0.827143
2016-09-27 01:21:55,849 Epoch[7] Batch [59050] Speed: 11.09 samples/sec Train-Accuracy=0.825714
2016-09-27 01:22:33,627 Epoch[7] Batch [59100] Speed: 10.59 samples/sec Train-Accuracy=0.845714
2016-09-27 01:23:12,140 Epoch[7] Batch [59150] Speed: 10.39 samples/sec Train-Accuracy=0.845714
2016-09-27 01:23:50,612 Epoch[7] Batch [59200] Speed: 10.40 samples/sec Train-Accuracy=0.828571
2016-09-27 01:24:28,487 Epoch[7] Batch [59250] Speed: 10.56 samples/sec Train-Accuracy=0.855714
2016-09-27 01:25:07,011 Epoch[7] Batch [59300] Speed: 10.38 samples/sec Train-Accuracy=0.825714
2016-09-27 01:25:44,783 Epoch[7] Batch [59350] Speed: 10.59 samples/sec Train-Accuracy=0.842857
2016-09-27 01:26:22,354 Epoch[7] Batch [59400] Speed: 10.65 samples/sec Train-Accuracy=0.824286
2016-09-27 01:27:00,323 Epoch[7] Batch [59450] Speed: 10.53 samples/sec Train-Accuracy=0.834286
2016-09-27 01:27:38,532 Epoch[7] Batch [59500] Speed: 10.47 samples/sec Train-Accuracy=0.840000
2016-09-27 01:28:19,693 Epoch[7] Batch [59550] Speed: 9.72 samples/sec Train-Accuracy=0.820000
2016-09-27 01:28:57,726 Epoch[7] Batch [59600] Speed: 10.52 samples/sec Train-Accuracy=0.848571
2016-09-27 01:29:35,267 Epoch[7] Batch [59650] Speed: 10.66 samples/sec Train-Accuracy=0.832857
2016-09-27 01:30:12,624 Epoch[7] Batch [59700] Speed: 10.71 samples/sec Train-Accuracy=0.851429
2016-09-27 01:30:49,398 Epoch[7] Batch [59750] Speed: 10.88 samples/sec Train-Accuracy=0.834286
2016-09-27 01:31:26,038 Epoch[7] Batch [59800] Speed: 10.92 samples/sec Train-Accuracy=0.858571
2016-09-27 01:32:02,415 Epoch[7] Batch [59850] Speed: 11.00 samples/sec Train-Accuracy=0.845714
2016-09-27 01:32:38,917 Epoch[7] Batch [59900] Speed: 10.96 samples/sec Train-Accuracy=0.840000
2016-09-27 01:33:15,372 Epoch[7] Batch [59950] Speed: 10.97 samples/sec Train-Accuracy=0.880000
2016-09-27 01:33:52,587 Epoch[7] Batch [60000] Speed: 10.75 samples/sec Train-Accuracy=0.844286
2016-09-27 01:34:31,938 Epoch[7] Batch [60050] Speed: 10.16 samples/sec Train-Accuracy=0.828571
2016-09-27 01:35:08,450 Epoch[7] Batch [60100] Speed: 10.96 samples/sec Train-Accuracy=0.832857
2016-09-27 01:35:45,000 Epoch[7] Batch [60150] Speed: 10.94 samples/sec Train-Accuracy=0.830000
2016-09-27 01:36:21,626 Epoch[7] Batch [60200] Speed: 10.92 samples/sec Train-Accuracy=0.820000
2016-09-27 01:36:58,289 Epoch[7] Batch [60250] Speed: 10.91 samples/sec Train-Accuracy=0.832857
2016-09-27 01:37:34,908 Epoch[7] Batch [60300] Speed: 10.92 samples/sec Train-Accuracy=0.828571
2016-09-27 01:38:11,422 Epoch[7] Batch [60350] Speed: 10.95 samples/sec Train-Accuracy=0.844286
2016-09-27 01:38:47,976 Epoch[7] Batch [60400] Speed: 10.94 samples/sec Train-Accuracy=0.821429
2016-09-27 01:39:24,601 Epoch[7] Batch [60450] Speed: 10.92 samples/sec Train-Accuracy=0.812857
2016-09-27 01:40:04,357 Epoch[7] Batch [60500] Speed: 10.06 samples/sec Train-Accuracy=0.851429
2016-09-27 01:40:43,048 Epoch[7] Batch [60550] Speed: 10.34 samples/sec Train-Accuracy=0.831429
2016-09-27 01:41:22,276 Epoch[7] Batch [60600] Speed: 10.20 samples/sec Train-Accuracy=0.844286
2016-09-27 01:42:01,453 Epoch[7] Batch [60650] Speed: 10.21 samples/sec Train-Accuracy=0.817143
2016-09-27 01:42:39,437 Epoch[7] Batch [60700] Speed: 10.53 samples/sec Train-Accuracy=0.875714
2016-09-27 01:43:17,321 Epoch[7] Batch [60750] Speed: 10.56 samples/sec Train-Accuracy=0.837143
2016-09-27 01:43:56,973 Epoch[7] Batch [60800] Speed: 10.09 samples/sec Train-Accuracy=0.821429
2016-09-27 01:44:38,200 Epoch[7] Batch [60850] Speed: 9.70 samples/sec Train-Accuracy=0.830000
2016-09-27 01:45:17,125 Epoch[7] Batch [60900] Speed: 10.28 samples/sec Train-Accuracy=0.857143
2016-09-27 01:45:56,711 Epoch[7] Batch [60950] Speed: 10.10 samples/sec Train-Accuracy=0.802857
2016-09-27 01:46:36,150 Epoch[7] Batch [61000] Speed: 10.14 samples/sec Train-Accuracy=0.817143
2016-09-27 01:47:15,129 Epoch[7] Batch [61050] Speed: 10.26 samples/sec Train-Accuracy=0.842857
2016-09-27 01:47:53,142 Epoch[7] Batch [61100] Speed: 10.52 samples/sec Train-Accuracy=0.814286
2016-09-27 01:48:31,584 Epoch[7] Batch [61150] Speed: 10.41 samples/sec Train-Accuracy=0.862857
2016-09-27 01:49:08,844 Epoch[7] Batch [61200] Speed: 10.74 samples/sec Train-Accuracy=0.834286
2016-09-27 01:49:46,409 Epoch[7] Batch [61250] Speed: 10.65 samples/sec Train-Accuracy=0.815714
2016-09-27 01:50:24,112 Epoch[7] Batch [61300] Speed: 10.61 samples/sec Train-Accuracy=0.791429
2016-09-27 01:51:05,079 Epoch[7] Batch [61350] Speed: 9.76 samples/sec Train-Accuracy=0.805714
2016-09-27 01:51:45,447 Epoch[7] Batch [61400] Speed: 9.91 samples/sec Train-Accuracy=0.851429
2016-09-27 01:52:24,327 Epoch[7] Batch [61450] Speed: 10.29 samples/sec Train-Accuracy=0.830000
2016-09-27 01:53:00,902 Epoch[7] Batch [61500] Speed: 10.94 samples/sec Train-Accuracy=0.834286
2016-09-27 01:53:37,618 Epoch[7] Batch [61550] Speed: 10.89 samples/sec Train-Accuracy=0.850000
2016-09-27 01:54:18,099 Epoch[7] Batch [61600] Speed: 9.88 samples/sec Train-Accuracy=0.851429
2016-09-27 01:54:58,559 Epoch[7] Batch [61650] Speed: 9.89 samples/sec Train-Accuracy=0.840000
2016-09-27 01:55:38,745 Epoch[7] Batch [61700] Speed: 9.95 samples/sec Train-Accuracy=0.818571
2016-09-27 01:56:17,813 Epoch[7] Batch [61750] Speed: 10.24 samples/sec Train-Accuracy=0.837143
2016-09-27 01:56:55,757 Epoch[7] Batch [61800] Speed: 10.54 samples/sec Train-Accuracy=0.851429
2016-09-27 01:57:33,244 Epoch[7] Batch [61850] Speed: 10.67 samples/sec Train-Accuracy=0.824286
2016-09-27 01:58:10,311 Epoch[7] Batch [61900] Speed: 10.79 samples/sec Train-Accuracy=0.827143
2016-09-27 01:58:47,126 Epoch[7] Batch [61950] Speed: 10.87 samples/sec Train-Accuracy=0.872857
2016-09-27 01:59:24,716 Epoch[7] Batch [62000] Speed: 10.64 samples/sec Train-Accuracy=0.805714
2016-09-27 02:00:01,006 Epoch[7] Batch [62050] Speed: 11.02 samples/sec Train-Accuracy=0.815714
2016-09-27 02:00:37,293 Epoch[7] Batch [62100] Speed: 11.02 samples/sec Train-Accuracy=0.818571
2016-09-27 02:01:13,618 Epoch[7] Batch [62150] Speed: 11.01 samples/sec Train-Accuracy=0.844286
2016-09-27 02:01:49,896 Epoch[7] Batch [62200] Speed: 11.03 samples/sec Train-Accuracy=0.850000
2016-09-27 02:02:26,170 Epoch[7] Batch [62250] Speed: 11.03 samples/sec Train-Accuracy=0.878571
2016-09-27 02:03:02,767 Epoch[7] Batch [62300] Speed: 10.93 samples/sec Train-Accuracy=0.824286
2016-09-27 02:03:39,131 Epoch[7] Batch [62350] Speed: 11.00 samples/sec Train-Accuracy=0.844286
2016-09-27 02:04:20,018 Epoch[7] Batch [62400] Speed: 9.78 samples/sec Train-Accuracy=0.870000
2016-09-27 02:05:00,127 Epoch[7] Batch [62450] Speed: 9.97 samples/sec Train-Accuracy=0.841429
2016-09-27 02:05:38,388 Epoch[7] Batch [62500] Speed: 10.45 samples/sec Train-Accuracy=0.838571
2016-09-27 02:05:38,389 Epoch[7] Resetting Data Iterator
2016-09-27 02:05:38,389 Epoch[7] Time cost=46843.885
2016-09-27 02:06:30,128 Epoch[7] Validation-Accuracy=0.817143
2016-09-27 02:07:06,131 Epoch[8] Batch [50] Speed: 11.24 samples/sec Train-Accuracy=0.855714
2016-09-27 02:07:42,526 Epoch[8] Batch [100] Speed: 10.99 samples/sec Train-Accuracy=0.858571
2016-09-27 02:08:19,069 Epoch[8] Batch [150] Speed: 10.95 samples/sec Train-Accuracy=0.845714
2016-09-27 02:08:55,651 Epoch[8] Batch [200] Speed: 10.93 samples/sec Train-Accuracy=0.797143
2016-09-27 02:09:32,742 Epoch[8] Batch [250] Speed: 10.78 samples/sec Train-Accuracy=0.818571
2016-09-27 02:10:09,057 Epoch[8] Batch [300] Speed: 11.01 samples/sec Train-Accuracy=0.814286
2016-09-27 02:10:50,003 Epoch[8] Batch [350] Speed: 9.77 samples/sec Train-Accuracy=0.814286
2016-09-27 02:11:27,266 Epoch[8] Batch [400] Speed: 10.73 samples/sec Train-Accuracy=0.848571
2016-09-27 02:12:03,699 Epoch[8] Batch [450] Speed: 10.98 samples/sec Train-Accuracy=0.832857
2016-09-27 02:12:39,999 Epoch[8] Batch [500] Speed: 11.02 samples/sec Train-Accuracy=0.814286
2016-09-27 02:13:16,427 Epoch[8] Batch [550] Speed: 10.98 samples/sec Train-Accuracy=0.822857
2016-09-27 02:13:53,359 Epoch[8] Batch [600] Speed: 10.83 samples/sec Train-Accuracy=0.800000
2016-09-27 02:14:30,162 Epoch[8] Batch [650] Speed: 10.87 samples/sec Train-Accuracy=0.862857
2016-09-27 02:15:06,925 Epoch[8] Batch [700] Speed: 10.88 samples/sec Train-Accuracy=0.841429
2016-09-27 02:15:43,239 Epoch[8] Batch [750] Speed: 11.02 samples/sec Train-Accuracy=0.847143
2016-09-27 02:16:19,655 Epoch[8] Batch [800] Speed: 10.98 samples/sec Train-Accuracy=0.810000
2016-09-27 02:16:57,000 Epoch[8] Batch [850] Speed: 10.71 samples/sec Train-Accuracy=0.851429
2016-09-27 02:17:34,713 Epoch[8] Batch [900] Speed: 10.61 samples/sec Train-Accuracy=0.844286
2016-09-27 02:18:12,282 Epoch[8] Batch [950] Speed: 10.65 samples/sec Train-Accuracy=0.861429
2016-09-27 02:18:51,902 Epoch[8] Batch [1000] Speed: 10.10 samples/sec Train-Accuracy=0.834286
2016-09-27 02:19:28,869 Epoch[8] Batch [1050] Speed: 10.82 samples/sec Train-Accuracy=0.834286
2016-09-27 02:20:05,585 Epoch[8] Batch [1100] Speed: 10.89 samples/sec Train-Accuracy=0.845714
2016-09-27 02:20:42,008 Epoch[8] Batch [1150] Speed: 10.98 samples/sec Train-Accuracy=0.840000
2016-09-27 02:21:18,921 Epoch[8] Batch [1200] Speed: 10.84 samples/sec Train-Accuracy=0.805714
2016-09-27 02:21:56,667 Epoch[8] Batch [1250] Speed: 10.60 samples/sec Train-Accuracy=0.834286
2016-09-27 02:22:34,601 Epoch[8] Batch [1300] Speed: 10.54 samples/sec Train-Accuracy=0.832857
2016-09-27 02:23:11,353 Epoch[8] Batch [1350] Speed: 10.88 samples/sec Train-Accuracy=0.850000
2016-09-27 02:23:48,068 Epoch[8] Batch [1400] Speed: 10.89 samples/sec Train-Accuracy=0.854286
2016-09-27 02:24:24,270 Epoch[8] Batch [1450] Speed: 11.05 samples/sec Train-Accuracy=0.837143
2016-09-27 02:25:01,483 Epoch[8] Batch [1500] Speed: 10.75 samples/sec Train-Accuracy=0.830000
2016-09-27 02:25:38,312 Epoch[8] Batch [1550] Speed: 10.86 samples/sec Train-Accuracy=0.834286
2016-09-27 02:26:14,992 Epoch[8] Batch [1600] Speed: 10.90 samples/sec Train-Accuracy=0.825714
2016-09-27 02:26:51,361 Epoch[8] Batch [1650] Speed: 11.00 samples/sec Train-Accuracy=0.834286
2016-09-27 02:27:27,832 Epoch[8] Batch [1700] Speed: 10.97 samples/sec Train-Accuracy=0.828571
2016-09-27 02:28:04,703 Epoch[8] Batch [1750] Speed: 10.85 samples/sec Train-Accuracy=0.830000
2016-09-27 02:28:41,968 Epoch[8] Batch [1800] Speed: 10.73 samples/sec Train-Accuracy=0.831429
2016-09-27 02:29:19,232 Epoch[8] Batch [1850] Speed: 10.73 samples/sec Train-Accuracy=0.817143
2016-09-27 02:29:56,570 Epoch[8] Batch [1900] Speed: 10.71 samples/sec Train-Accuracy=0.828571
2016-09-27 02:30:33,644 Epoch[8] Batch [1950] Speed: 10.79 samples/sec Train-Accuracy=0.861429
2016-09-27 02:31:10,737 Epoch[8] Batch [2000] Speed: 10.78 samples/sec Train-Accuracy=0.851429
2016-09-27 02:31:47,883 Epoch[8] Batch [2050] Speed: 10.77 samples/sec Train-Accuracy=0.831429
2016-09-27 02:32:25,595 Epoch[8] Batch [2100] Speed: 10.61 samples/sec Train-Accuracy=0.824286
2016-09-27 02:33:03,686 Epoch[8] Batch [2150] Speed: 10.50 samples/sec Train-Accuracy=0.814286
2016-09-27 02:33:41,181 Epoch[8] Batch [2200] Speed: 10.67 samples/sec Train-Accuracy=0.850000
2016-09-27 02:34:18,123 Epoch[8] Batch [2250] Speed: 10.83 samples/sec Train-Accuracy=0.828571
2016-09-27 02:34:56,208 Epoch[8] Batch [2300] Speed: 10.50 samples/sec Train-Accuracy=0.845714
2016-09-27 02:35:38,313 Epoch[8] Batch [2350] Speed: 9.50 samples/sec Train-Accuracy=0.842857
2016-09-27 02:36:20,324 Epoch[8] Batch [2400] Speed: 9.52 samples/sec Train-Accuracy=0.831429
2016-09-27 02:37:02,500 Epoch[8] Batch [2450] Speed: 9.48 samples/sec Train-Accuracy=0.827143
2016-09-27 02:37:40,911 Epoch[8] Batch [2500] Speed: 10.41 samples/sec Train-Accuracy=0.817143
2016-09-27 02:38:17,441 Epoch[8] Batch [2550] Speed: 10.95 samples/sec Train-Accuracy=0.825714
2016-09-27 02:38:54,277 Epoch[8] Batch [2600] Speed: 10.86 samples/sec Train-Accuracy=0.862857
2016-09-27 02:39:31,318 Epoch[8] Batch [2650] Speed: 10.80 samples/sec Train-Accuracy=0.830000
2016-09-27 02:40:08,013 Epoch[8] Batch [2700] Speed: 10.90 samples/sec Train-Accuracy=0.825714
2016-09-27 02:40:45,048 Epoch[8] Batch [2750] Speed: 10.80 samples/sec Train-Accuracy=0.822857
2016-09-27 02:41:22,176 Epoch[8] Batch [2800] Speed: 10.77 samples/sec Train-Accuracy=0.802857
2016-09-27 02:42:00,123 Epoch[8] Batch [2850] Speed: 10.54 samples/sec Train-Accuracy=0.824286
2016-09-27 02:42:38,606 Epoch[8] Batch [2900] Speed: 10.39 samples/sec Train-Accuracy=0.824286
2016-09-27 02:43:16,271 Epoch[8] Batch [2950] Speed: 10.62 samples/sec Train-Accuracy=0.827143
2016-09-27 02:43:53,298 Epoch[8] Batch [3000] Speed: 10.80 samples/sec Train-Accuracy=0.824286
2016-09-27 02:44:30,341 Epoch[8] Batch [3050] Speed: 10.80 samples/sec Train-Accuracy=0.854286
2016-09-27 02:45:07,331 Epoch[8] Batch [3100] Speed: 10.81 samples/sec Train-Accuracy=0.821429
2016-09-27 02:45:45,160 Epoch[8] Batch [3150] Speed: 10.57 samples/sec Train-Accuracy=0.824286
2016-09-27 02:46:24,475 Epoch[8] Batch [3200] Speed: 10.17 samples/sec Train-Accuracy=0.828571
2016-09-27 02:47:06,832 Epoch[8] Batch [3250] Speed: 9.44 samples/sec Train-Accuracy=0.847143
2016-09-27 02:47:49,104 Epoch[8] Batch [3300] Speed: 9.46 samples/sec Train-Accuracy=0.814286
2016-09-27 02:48:32,037 Epoch[8] Batch [3350] Speed: 9.32 samples/sec Train-Accuracy=0.844286
2016-09-27 02:49:14,701 Epoch[8] Batch [3400] Speed: 9.38 samples/sec Train-Accuracy=0.858571
2016-09-27 02:49:56,895 Epoch[8] Batch [3450] Speed: 9.48 samples/sec Train-Accuracy=0.830000
2016-09-27 02:50:39,304 Epoch[8] Batch [3500] Speed: 9.43 samples/sec Train-Accuracy=0.847143
2016-09-27 02:51:22,212 Epoch[8] Batch [3550] Speed: 9.32 samples/sec Train-Accuracy=0.827143
2016-09-27 02:52:01,289 Epoch[8] Batch [3600] Speed: 10.24 samples/sec Train-Accuracy=0.828571
2016-09-27 02:52:43,049 Epoch[8] Batch [3650] Speed: 9.58 samples/sec Train-Accuracy=0.824286
2016-09-27 02:53:25,058 Epoch[8] Batch [3700] Speed: 9.52 samples/sec Train-Accuracy=0.845714
2016-09-27 02:54:05,572 Epoch[8] Batch [3750] Speed: 9.87 samples/sec Train-Accuracy=0.847143
2016-09-27 02:54:45,004 Epoch[8] Batch [3800] Speed: 10.14 samples/sec Train-Accuracy=0.812857
2016-09-27 02:55:23,846 Epoch[8] Batch [3850] Speed: 10.30 samples/sec Train-Accuracy=0.812857
2016-09-27 02:56:01,507 Epoch[8] Batch [3900] Speed: 10.62 samples/sec Train-Accuracy=0.827143
2016-09-27 02:56:39,061 Epoch[8] Batch [3950] Speed: 10.65 samples/sec Train-Accuracy=0.857143
2016-09-27 02:57:16,719 Epoch[8] Batch [4000] Speed: 10.62 samples/sec Train-Accuracy=0.812857
2016-09-27 02:57:54,501 Epoch[8] Batch [4050] Speed: 10.59 samples/sec Train-Accuracy=0.850000
2016-09-27 02:58:32,098 Epoch[8] Batch [4100] Speed: 10.64 samples/sec Train-Accuracy=0.824286
2016-09-27 02:59:09,682 Epoch[8] Batch [4150] Speed: 10.64 samples/sec Train-Accuracy=0.807143
2016-09-27 02:59:47,213 Epoch[8] Batch [4200] Speed: 10.66 samples/sec Train-Accuracy=0.831429
2016-09-27 03:00:25,543 Epoch[8] Batch [4250] Speed: 10.44 samples/sec Train-Accuracy=0.801429
2016-09-27 03:01:06,125 Epoch[8] Batch [4300] Speed: 9.86 samples/sec Train-Accuracy=0.817143
2016-09-27 03:01:44,488 Epoch[8] Batch [4350] Speed: 10.43 samples/sec Train-Accuracy=0.830000
2016-09-27 03:02:22,845 Epoch[8] Batch [4400] Speed: 10.43 samples/sec Train-Accuracy=0.825714
2016-09-27 03:03:01,414 Epoch[8] Batch [4450] Speed: 10.37 samples/sec Train-Accuracy=0.830000
2016-09-27 03:03:39,939 Epoch[8] Batch [4500] Speed: 10.38 samples/sec Train-Accuracy=0.794286
2016-09-27 03:04:18,444 Epoch[8] Batch [4550] Speed: 10.39 samples/sec Train-Accuracy=0.845714
2016-09-27 03:04:55,842 Epoch[8] Batch [4600] Speed: 10.70 samples/sec Train-Accuracy=0.822857
2016-09-27 03:05:36,489 Epoch[8] Batch [4650] Speed: 9.84 samples/sec Train-Accuracy=0.828571
2016-09-27 03:06:16,771 Epoch[8] Batch [4700] Speed: 9.93 samples/sec Train-Accuracy=0.804286
2016-09-27 03:06:57,086 Epoch[8] Batch [4750] Speed: 9.92 samples/sec Train-Accuracy=0.840000
2016-09-27 03:07:37,072 Epoch[8] Batch [4800] Speed: 10.00 samples/sec Train-Accuracy=0.827143
2016-09-27 03:08:18,091 Epoch[8] Batch [4850] Speed: 9.75 samples/sec Train-Accuracy=0.841429
2016-09-27 03:08:58,153 Epoch[8] Batch [4900] Speed: 9.98 samples/sec Train-Accuracy=0.811429
2016-09-27 03:09:38,701 Epoch[8] Batch [4950] Speed: 9.87 samples/sec Train-Accuracy=0.844286
2016-09-27 03:10:18,459 Epoch[8] Batch [5000] Speed: 10.06 samples/sec Train-Accuracy=0.821429
2016-09-27 03:10:57,799 Epoch[8] Batch [5050] Speed: 10.17 samples/sec Train-Accuracy=0.830000
2016-09-27 03:11:36,456 Epoch[8] Batch [5100] Speed: 10.35 samples/sec Train-Accuracy=0.830000
2016-09-27 03:12:15,077 Epoch[8] Batch [5150] Speed: 10.36 samples/sec Train-Accuracy=0.841429
2016-09-27 03:12:55,123 Epoch[8] Batch [5200] Speed: 9.99 samples/sec Train-Accuracy=0.824286
2016-09-27 03:13:33,443 Epoch[8] Batch [5250] Speed: 10.44 samples/sec Train-Accuracy=0.844286
2016-09-27 03:14:12,010 Epoch[8] Batch [5300] Speed: 10.37 samples/sec Train-Accuracy=0.834286
2016-09-27 03:14:52,228 Epoch[8] Batch [5350] Speed: 9.95 samples/sec Train-Accuracy=0.810000
2016-09-27 03:15:30,895 Epoch[8] Batch [5400] Speed: 10.34 samples/sec Train-Accuracy=0.854286
2016-09-27 03:16:09,746 Epoch[8] Batch [5450] Speed: 10.30 samples/sec Train-Accuracy=0.864286
2016-09-27 03:16:48,273 Epoch[8] Batch [5500] Speed: 10.38 samples/sec Train-Accuracy=0.832857
2016-09-27 03:17:26,779 Epoch[8] Batch [5550] Speed: 10.39 samples/sec Train-Accuracy=0.848571
2016-09-27 03:18:05,334 Epoch[8] Batch [5600] Speed: 10.37 samples/sec Train-Accuracy=0.841429
2016-09-27 03:18:43,794 Epoch[8] Batch [5650] Speed: 10.40 samples/sec Train-Accuracy=0.832857
2016-09-27 03:19:24,164 Epoch[8] Batch [5700] Speed: 9.91 samples/sec Train-Accuracy=0.838571
2016-09-27 03:20:04,412 Epoch[8] Batch [5750] Speed: 9.94 samples/sec Train-Accuracy=0.840000
2016-09-27 03:20:45,996 Epoch[8] Batch [5800] Speed: 9.62 samples/sec Train-Accuracy=0.811429
2016-09-27 03:21:26,723 Epoch[8] Batch [5850] Speed: 9.82 samples/sec Train-Accuracy=0.848571
2016-09-27 03:22:06,300 Epoch[8] Batch [5900] Speed: 10.11 samples/sec Train-Accuracy=0.835714
2016-09-27 03:22:45,876 Epoch[8] Batch [5950] Speed: 10.11 samples/sec Train-Accuracy=0.858571
2016-09-27 03:23:24,942 Epoch[8] Batch [6000] Speed: 10.24 samples/sec Train-Accuracy=0.828571
2016-09-27 03:24:04,370 Epoch[8] Batch [6050] Speed: 10.15 samples/sec Train-Accuracy=0.847143
2016-09-27 03:24:43,506 Epoch[8] Batch [6100] Speed: 10.22 samples/sec Train-Accuracy=0.847143
2016-09-27 03:25:22,597 Epoch[8] Batch [6150] Speed: 10.23 samples/sec Train-Accuracy=0.844286
2016-09-27 03:26:01,783 Epoch[8] Batch [6200] Speed: 10.21 samples/sec Train-Accuracy=0.822857
2016-09-27 03:26:38,733 Epoch[8] Batch [6250] Speed: 10.83 samples/sec Train-Accuracy=0.848571
2016-09-27 03:27:15,700 Epoch[8] Batch [6300] Speed: 10.82 samples/sec Train-Accuracy=0.845714
2016-09-27 03:27:52,622 Epoch[8] Batch [6350] Speed: 10.83 samples/sec Train-Accuracy=0.875714
2016-09-27 03:28:33,280 Epoch[8] Batch [6400] Speed: 9.84 samples/sec Train-Accuracy=0.845714
2016-09-27 03:29:16,433 Epoch[8] Batch [6450] Speed: 9.27 samples/sec Train-Accuracy=0.834286
2016-09-27 03:29:58,274 Epoch[8] Batch [6500] Speed: 9.56 samples/sec Train-Accuracy=0.801429
2016-09-27 03:30:37,531 Epoch[8] Batch [6550] Speed: 10.19 samples/sec Train-Accuracy=0.821429
2016-09-27 03:31:15,268 Epoch[8] Batch [6600] Speed: 10.60 samples/sec Train-Accuracy=0.804286
2016-09-27 03:31:52,974 Epoch[8] Batch [6650] Speed: 10.61 samples/sec Train-Accuracy=0.861429
2016-09-27 03:32:30,497 Epoch[8] Batch [6700] Speed: 10.66 samples/sec Train-Accuracy=0.828571
2016-09-27 03:33:06,923 Epoch[8] Batch [6750] Speed: 10.98 samples/sec Train-Accuracy=0.812857
2016-09-27 03:33:42,980 Epoch[8] Batch [6800] Speed: 11.09 samples/sec Train-Accuracy=0.838571
2016-09-27 03:34:19,031 Epoch[8] Batch [6850] Speed: 11.10 samples/sec Train-Accuracy=0.855714
2016-09-27 03:34:55,177 Epoch[8] Batch [6900] Speed: 11.07 samples/sec Train-Accuracy=0.852857
2016-09-27 03:35:31,463 Epoch[8] Batch [6950] Speed: 11.02 samples/sec Train-Accuracy=0.858571
2016-09-27 03:36:07,669 Epoch[8] Batch [7000] Speed: 11.05 samples/sec Train-Accuracy=0.825714
2016-09-27 03:36:47,590 Epoch[8] Batch [7050] Speed: 10.02 samples/sec Train-Accuracy=0.820000
2016-09-27 03:37:28,941 Epoch[8] Batch [7100] Speed: 9.67 samples/sec Train-Accuracy=0.848571
2016-09-27 03:38:10,312 Epoch[8] Batch [7150] Speed: 9.67 samples/sec Train-Accuracy=0.808571
2016-09-27 03:38:50,513 Epoch[8] Batch [7200] Speed: 9.95 samples/sec Train-Accuracy=0.825714
2016-09-27 03:39:28,263 Epoch[8] Batch [7250] Speed: 10.60 samples/sec Train-Accuracy=0.811429
2016-09-27 03:40:05,981 Epoch[8] Batch [7300] Speed: 10.61 samples/sec Train-Accuracy=0.864286
2016-09-27 03:40:43,807 Epoch[8] Batch [7350] Speed: 10.57 samples/sec Train-Accuracy=0.862857
2016-09-27 03:41:22,579 Epoch[8] Batch [7400] Speed: 10.32 samples/sec Train-Accuracy=0.857143
2016-09-27 03:42:00,943 Epoch[8] Batch [7450] Speed: 10.43 samples/sec Train-Accuracy=0.835714
2016-09-27 03:42:39,129 Epoch[8] Batch [7500] Speed: 10.48 samples/sec Train-Accuracy=0.832857
2016-09-27 03:43:19,082 Epoch[8] Batch [7550] Speed: 10.01 samples/sec Train-Accuracy=0.848571
2016-09-27 03:43:58,102 Epoch[8] Batch [7600] Speed: 10.25 samples/sec Train-Accuracy=0.832857
2016-09-27 03:44:36,767 Epoch[8] Batch [7650] Speed: 10.35 samples/sec Train-Accuracy=0.850000
2016-09-27 03:45:15,187 Epoch[8] Batch [7700] Speed: 10.41 samples/sec Train-Accuracy=0.811429
2016-09-27 03:45:52,842 Epoch[8] Batch [7750] Speed: 10.62 samples/sec Train-Accuracy=0.850000
2016-09-27 03:46:29,484 Epoch[8] Batch [7800] Speed: 10.92 samples/sec Train-Accuracy=0.857143
2016-09-27 03:47:07,897 Epoch[8] Batch [7850] Speed: 10.41 samples/sec Train-Accuracy=0.812857
2016-09-27 03:47:44,199 Epoch[8] Batch [7900] Speed: 11.02 samples/sec Train-Accuracy=0.831429
2016-09-27 03:48:21,390 Epoch[8] Batch [7950] Speed: 10.76 samples/sec Train-Accuracy=0.854286
2016-09-27 03:48:58,266 Epoch[8] Batch [8000] Speed: 10.85 samples/sec Train-Accuracy=0.838571
2016-09-27 03:49:35,135 Epoch[8] Batch [8050] Speed: 10.85 samples/sec Train-Accuracy=0.805714
2016-09-27 03:50:12,021 Epoch[8] Batch [8100] Speed: 10.84 samples/sec Train-Accuracy=0.814286
2016-09-27 03:50:48,894 Epoch[8] Batch [8150] Speed: 10.85 samples/sec Train-Accuracy=0.847143
2016-09-27 03:51:25,954 Epoch[8] Batch [8200] Speed: 10.79 samples/sec Train-Accuracy=0.870000
2016-09-27 03:52:03,211 Epoch[8] Batch [8250] Speed: 10.74 samples/sec Train-Accuracy=0.802857
2016-09-27 03:52:40,240 Epoch[8] Batch [8300] Speed: 10.80 samples/sec Train-Accuracy=0.837143
2016-09-27 03:53:17,026 Epoch[8] Batch [8350] Speed: 10.87 samples/sec Train-Accuracy=0.804286
2016-09-27 03:53:53,890 Epoch[8] Batch [8400] Speed: 10.85 samples/sec Train-Accuracy=0.842857
2016-09-27 03:54:31,567 Epoch[8] Batch [8450] Speed: 10.62 samples/sec Train-Accuracy=0.847143
2016-09-27 03:55:10,298 Epoch[8] Batch [8500] Speed: 10.33 samples/sec Train-Accuracy=0.845714
2016-09-27 03:55:50,151 Epoch[8] Batch [8550] Speed: 10.04 samples/sec Train-Accuracy=0.874286
2016-09-27 03:56:31,624 Epoch[8] Batch [8600] Speed: 9.64 samples/sec Train-Accuracy=0.854286
2016-09-27 03:57:16,816 Epoch[8] Batch [8650] Speed: 8.85 samples/sec Train-Accuracy=0.835714
2016-09-27 03:57:59,332 Epoch[8] Batch [8700] Speed: 9.41 samples/sec Train-Accuracy=0.841429
2016-09-27 03:58:40,014 Epoch[8] Batch [8750] Speed: 9.83 samples/sec Train-Accuracy=0.838571
2016-09-27 03:59:23,153 Epoch[8] Batch [8800] Speed: 9.27 samples/sec Train-Accuracy=0.845714
2016-09-27 04:00:04,817 Epoch[8] Batch [8850] Speed: 9.60 samples/sec Train-Accuracy=0.860000
2016-09-27 04:00:45,900 Epoch[8] Batch [8900] Speed: 9.74 samples/sec Train-Accuracy=0.844286
2016-09-27 04:01:27,300 Epoch[8] Batch [8950] Speed: 9.66 samples/sec Train-Accuracy=0.835714
2016-09-27 04:02:09,018 Epoch[8] Batch [9000] Speed: 9.59 samples/sec Train-Accuracy=0.834286
2016-09-27 04:02:50,601 Epoch[8] Batch [9050] Speed: 9.62 samples/sec Train-Accuracy=0.842857
2016-09-27 04:03:29,261 Epoch[8] Batch [9100] Speed: 10.35 samples/sec Train-Accuracy=0.854286
2016-09-27 04:04:06,549 Epoch[8] Batch [9150] Speed: 10.73 samples/sec Train-Accuracy=0.818571
2016-09-27 04:04:44,034 Epoch[8] Batch [9200] Speed: 10.67 samples/sec Train-Accuracy=0.810000
2016-09-27 04:05:21,396 Epoch[8] Batch [9250] Speed: 10.71 samples/sec Train-Accuracy=0.852857
2016-09-27 04:05:58,780 Epoch[8] Batch [9300] Speed: 10.70 samples/sec Train-Accuracy=0.817143
2016-09-27 04:06:36,210 Epoch[8] Batch [9350] Speed: 10.69 samples/sec Train-Accuracy=0.814286
2016-09-27 04:07:14,385 Epoch[8] Batch [9400] Speed: 10.48 samples/sec Train-Accuracy=0.832857
2016-09-27 04:07:52,784 Epoch[8] Batch [9450] Speed: 10.42 samples/sec Train-Accuracy=0.825714
2016-09-27 04:08:33,775 Epoch[8] Batch [9500] Speed: 9.76 samples/sec Train-Accuracy=0.827143
2016-09-27 04:09:15,370 Epoch[8] Batch [9550] Speed: 9.62 samples/sec Train-Accuracy=0.858571
2016-09-27 04:09:52,914 Epoch[8] Batch [9600] Speed: 10.65 samples/sec Train-Accuracy=0.808571
2016-09-27 04:10:30,411 Epoch[8] Batch [9650] Speed: 10.67 samples/sec Train-Accuracy=0.842857
2016-09-27 04:11:07,950 Epoch[8] Batch [9700] Speed: 10.66 samples/sec Train-Accuracy=0.840000
2016-09-27 04:11:46,195 Epoch[8] Batch [9750] Speed: 10.46 samples/sec Train-Accuracy=0.825714
2016-09-27 04:12:26,193 Epoch[8] Batch [9800] Speed: 10.00 samples/sec Train-Accuracy=0.842857
2016-09-27 04:13:07,567 Epoch[8] Batch [9850] Speed: 9.67 samples/sec Train-Accuracy=0.855714
2016-09-27 04:13:45,875 Epoch[8] Batch [9900] Speed: 10.44 samples/sec Train-Accuracy=0.861429
2016-09-27 04:14:24,490 Epoch[8] Batch [9950] Speed: 10.36 samples/sec Train-Accuracy=0.827143
2016-09-27 04:15:02,755 Epoch[8] Batch [10000] Speed: 10.45 samples/sec Train-Accuracy=0.834286
2016-09-27 04:15:41,412 Epoch[8] Batch [10050] Speed: 10.35 samples/sec Train-Accuracy=0.872857
2016-09-27 04:16:20,050 Epoch[8] Batch [10100] Speed: 10.35 samples/sec Train-Accuracy=0.825714
2016-09-27 04:16:56,835 Epoch[8] Batch [10150] Speed: 10.87 samples/sec Train-Accuracy=0.810000
2016-09-27 04:17:33,337 Epoch[8] Batch [10200] Speed: 10.96 samples/sec Train-Accuracy=0.832857
2016-09-27 04:18:09,539 Epoch[8] Batch [10250] Speed: 11.05 samples/sec Train-Accuracy=0.841429
2016-09-27 04:18:45,722 Epoch[8] Batch [10300] Speed: 11.06 samples/sec Train-Accuracy=0.830000
2016-09-27 04:19:23,276 Epoch[8] Batch [10350] Speed: 10.65 samples/sec Train-Accuracy=0.852857
2016-09-27 04:20:00,498 Epoch[8] Batch [10400] Speed: 10.75 samples/sec Train-Accuracy=0.837143
2016-09-27 04:20:38,060 Epoch[8] Batch [10450] Speed: 10.65 samples/sec Train-Accuracy=0.845714
2016-09-27 04:21:15,755 Epoch[8] Batch [10500] Speed: 10.61 samples/sec Train-Accuracy=0.841429
2016-09-27 04:21:53,482 Epoch[8] Batch [10550] Speed: 10.60 samples/sec Train-Accuracy=0.844286
2016-09-27 04:22:31,169 Epoch[8] Batch [10600] Speed: 10.61 samples/sec Train-Accuracy=0.854286
2016-09-27 04:23:08,255 Epoch[8] Batch [10650] Speed: 10.79 samples/sec Train-Accuracy=0.862857
2016-09-27 04:23:44,335 Epoch[8] Batch [10700] Speed: 11.09 samples/sec Train-Accuracy=0.822857
2016-09-27 04:24:20,460 Epoch[8] Batch [10750] Speed: 11.07 samples/sec Train-Accuracy=0.824286
2016-09-27 04:24:56,592 Epoch[8] Batch [10800] Speed: 11.07 samples/sec Train-Accuracy=0.838571
2016-09-27 04:25:32,825 Epoch[8] Batch [10850] Speed: 11.04 samples/sec Train-Accuracy=0.855714
2016-09-27 04:26:08,984 Epoch[8] Batch [10900] Speed: 11.06 samples/sec Train-Accuracy=0.867143
2016-09-27 04:26:45,158 Epoch[8] Batch [10950] Speed: 11.06 samples/sec Train-Accuracy=0.815714
2016-09-27 04:27:21,299 Epoch[8] Batch [11000] Speed: 11.07 samples/sec Train-Accuracy=0.851429
2016-09-27 04:27:57,402 Epoch[8] Batch [11050] Speed: 11.08 samples/sec Train-Accuracy=0.844286
2016-09-27 04:28:38,645 Epoch[8] Batch [11100] Speed: 9.70 samples/sec Train-Accuracy=0.848571
2016-09-27 04:29:18,114 Epoch[8] Batch [11150] Speed: 10.13 samples/sec Train-Accuracy=0.828571
2016-09-27 04:29:54,270 Epoch[8] Batch [11200] Speed: 11.06 samples/sec Train-Accuracy=0.835714
2016-09-27 04:30:30,318 Epoch[8] Batch [11250] Speed: 11.10 samples/sec Train-Accuracy=0.825714
2016-09-27 04:31:06,447 Epoch[8] Batch [11300] Speed: 11.07 samples/sec Train-Accuracy=0.828571
2016-09-27 04:31:42,649 Epoch[8] Batch [11350] Speed: 11.05 samples/sec Train-Accuracy=0.870000
2016-09-27 04:32:18,826 Epoch[8] Batch [11400] Speed: 11.06 samples/sec Train-Accuracy=0.867143
2016-09-27 04:32:54,856 Epoch[8] Batch [11450] Speed: 11.10 samples/sec Train-Accuracy=0.822857
2016-09-27 04:33:30,839 Epoch[8] Batch [11500] Speed: 11.12 samples/sec Train-Accuracy=0.835714
2016-09-27 04:34:06,947 Epoch[8] Batch [11550] Speed: 11.08 samples/sec Train-Accuracy=0.804286
2016-09-27 04:34:43,138 Epoch[8] Batch [11600] Speed: 11.05 samples/sec Train-Accuracy=0.870000
2016-09-27 04:35:19,222 Epoch[8] Batch [11650] Speed: 11.09 samples/sec Train-Accuracy=0.837143
2016-09-27 04:35:55,349 Epoch[8] Batch [11700] Speed: 11.07 samples/sec Train-Accuracy=0.817143
2016-09-27 04:36:31,340 Epoch[8] Batch [11750] Speed: 11.11 samples/sec Train-Accuracy=0.828571
2016-09-27 04:37:07,394 Epoch[8] Batch [11800] Speed: 11.09 samples/sec Train-Accuracy=0.794286
2016-09-27 04:37:43,417 Epoch[8] Batch [11850] Speed: 11.10 samples/sec Train-Accuracy=0.840000
2016-09-27 04:38:19,458 Epoch[8] Batch [11900] Speed: 11.10 samples/sec Train-Accuracy=0.845714
2016-09-27 04:38:55,646 Epoch[8] Batch [11950] Speed: 11.05 samples/sec Train-Accuracy=0.818571
2016-09-27 04:39:31,670 Epoch[8] Batch [12000] Speed: 11.10 samples/sec Train-Accuracy=0.835714
2016-09-27 04:40:07,600 Epoch[8] Batch [12050] Speed: 11.13 samples/sec Train-Accuracy=0.867143
2016-09-27 04:40:43,537 Epoch[8] Batch [12100] Speed: 11.13 samples/sec Train-Accuracy=0.822857
2016-09-27 04:41:19,472 Epoch[8] Batch [12150] Speed: 11.13 samples/sec Train-Accuracy=0.847143
2016-09-27 04:41:55,531 Epoch[8] Batch [12200] Speed: 11.09 samples/sec Train-Accuracy=0.850000
2016-09-27 04:42:31,414 Epoch[8] Batch [12250] Speed: 11.15 samples/sec Train-Accuracy=0.830000
2016-09-27 04:43:07,895 Epoch[8] Batch [12300] Speed: 10.96 samples/sec Train-Accuracy=0.854286
2016-09-27 04:43:46,042 Epoch[8] Batch [12350] Speed: 10.49 samples/sec Train-Accuracy=0.808571
2016-09-27 04:44:23,079 Epoch[8] Batch [12400] Speed: 10.80 samples/sec Train-Accuracy=0.801429
2016-09-27 04:45:00,384 Epoch[8] Batch [12450] Speed: 10.72 samples/sec Train-Accuracy=0.835714
2016-09-27 04:45:37,751 Epoch[8] Batch [12500] Speed: 10.70 samples/sec Train-Accuracy=0.808571
2016-09-27 04:46:14,648 Epoch[8] Batch [12550] Speed: 10.84 samples/sec Train-Accuracy=0.861429
2016-09-27 04:46:51,270 Epoch[8] Batch [12600] Speed: 10.92 samples/sec Train-Accuracy=0.855714
2016-09-27 04:47:27,907 Epoch[8] Batch [12650] Speed: 10.92 samples/sec Train-Accuracy=0.851429
2016-09-27 04:48:04,496 Epoch[8] Batch [12700] Speed: 10.93 samples/sec Train-Accuracy=0.830000
2016-09-27 04:48:41,125 Epoch[8] Batch [12750] Speed: 10.92 samples/sec Train-Accuracy=0.841429
2016-09-27 04:49:17,849 Epoch[8] Batch [12800] Speed: 10.89 samples/sec Train-Accuracy=0.844286
2016-09-27 04:49:55,155 Epoch[8] Batch [12850] Speed: 10.72 samples/sec Train-Accuracy=0.792857
2016-09-27 04:50:32,339 Epoch[8] Batch [12900] Speed: 10.76 samples/sec Train-Accuracy=0.844286
2016-09-27 04:51:09,346 Epoch[8] Batch [12950] Speed: 10.81 samples/sec Train-Accuracy=0.814286
2016-09-27 04:51:46,078 Epoch[8] Batch [13000] Speed: 10.89 samples/sec Train-Accuracy=0.834286
2016-09-27 04:52:22,458 Epoch[8] Batch [13050] Speed: 11.00 samples/sec Train-Accuracy=0.837143
2016-09-27 04:52:58,645 Epoch[8] Batch [13100] Speed: 11.05 samples/sec Train-Accuracy=0.842857
2016-09-27 04:53:35,968 Epoch[8] Batch [13150] Speed: 10.72 samples/sec Train-Accuracy=0.840000
2016-09-27 04:54:17,607 Epoch[8] Batch [13200] Speed: 9.61 samples/sec Train-Accuracy=0.845714
2016-09-27 04:54:57,388 Epoch[8] Batch [13250] Speed: 10.06 samples/sec Train-Accuracy=0.844286
2016-09-27 04:55:34,663 Epoch[8] Batch [13300] Speed: 10.73 samples/sec Train-Accuracy=0.862857
2016-09-27 04:56:10,979 Epoch[8] Batch [13350] Speed: 11.01 samples/sec Train-Accuracy=0.880000
2016-09-27 04:56:47,270 Epoch[8] Batch [13400] Speed: 11.02 samples/sec Train-Accuracy=0.862857
2016-09-27 04:57:23,681 Epoch[8] Batch [13450] Speed: 10.99 samples/sec Train-Accuracy=0.815714
2016-09-27 04:58:01,394 Epoch[8] Batch [13500] Speed: 10.61 samples/sec Train-Accuracy=0.834286
2016-09-27 04:58:43,245 Epoch[8] Batch [13550] Speed: 9.56 samples/sec Train-Accuracy=0.830000
2016-09-27 04:59:19,441 Epoch[8] Batch [13600] Speed: 11.05 samples/sec Train-Accuracy=0.811429
2016-09-27 04:59:55,565 Epoch[8] Batch [13650] Speed: 11.07 samples/sec Train-Accuracy=0.811429
2016-09-27 05:00:31,785 Epoch[8] Batch [13700] Speed: 11.04 samples/sec Train-Accuracy=0.827143
2016-09-27 05:01:07,914 Epoch[8] Batch [13750] Speed: 11.07 samples/sec Train-Accuracy=0.842857
2016-09-27 05:01:44,020 Epoch[8] Batch [13800] Speed: 11.08 samples/sec Train-Accuracy=0.850000
2016-09-27 05:02:20,099 Epoch[8] Batch [13850] Speed: 11.09 samples/sec Train-Accuracy=0.851429
2016-09-27 05:02:56,175 Epoch[8] Batch [13900] Speed: 11.09 samples/sec Train-Accuracy=0.848571
2016-09-27 05:03:32,180 Epoch[8] Batch [13950] Speed: 11.11 samples/sec Train-Accuracy=0.825714
2016-09-27 05:04:08,183 Epoch[8] Batch [14000] Speed: 11.11 samples/sec Train-Accuracy=0.827143
2016-09-27 05:04:44,691 Epoch[8] Batch [14050] Speed: 10.96 samples/sec Train-Accuracy=0.841429
2016-09-27 05:05:21,882 Epoch[8] Batch [14100] Speed: 10.76 samples/sec Train-Accuracy=0.834286
2016-09-27 05:05:59,099 Epoch[8] Batch [14150] Speed: 10.75 samples/sec Train-Accuracy=0.845714
2016-09-27 05:06:38,569 Epoch[8] Batch [14200] Speed: 10.13 samples/sec Train-Accuracy=0.852857
2016-09-27 05:07:19,858 Epoch[8] Batch [14250] Speed: 9.69 samples/sec Train-Accuracy=0.825714
2016-09-27 05:07:56,823 Epoch[8] Batch [14300] Speed: 10.82 samples/sec Train-Accuracy=0.821429
2016-09-27 05:08:33,364 Epoch[8] Batch [14350] Speed: 10.95 samples/sec Train-Accuracy=0.832857
2016-09-27 05:09:09,931 Epoch[8] Batch [14400] Speed: 10.94 samples/sec Train-Accuracy=0.835714
2016-09-27 05:09:46,506 Epoch[8] Batch [14450] Speed: 10.94 samples/sec Train-Accuracy=0.870000
2016-09-27 05:10:23,160 Epoch[8] Batch [14500] Speed: 10.91 samples/sec Train-Accuracy=0.784286
2016-09-27 05:10:59,755 Epoch[8] Batch [14550] Speed: 10.93 samples/sec Train-Accuracy=0.847143
2016-09-27 05:11:36,301 Epoch[8] Batch [14600] Speed: 10.95 samples/sec Train-Accuracy=0.831429
2016-09-27 05:12:12,939 Epoch[8] Batch [14650] Speed: 10.92 samples/sec Train-Accuracy=0.815714
2016-09-27 05:12:49,580 Epoch[8] Batch [14700] Speed: 10.92 samples/sec Train-Accuracy=0.838571
2016-09-27 05:13:29,625 Epoch[8] Batch [14750] Speed: 9.99 samples/sec Train-Accuracy=0.832857
2016-09-27 05:14:10,419 Epoch[8] Batch [14800] Speed: 9.81 samples/sec Train-Accuracy=0.828571
2016-09-27 05:14:53,035 Epoch[8] Batch [14850] Speed: 9.39 samples/sec Train-Accuracy=0.835714
2016-09-27 05:15:35,183 Epoch[8] Batch [14900] Speed: 9.49 samples/sec Train-Accuracy=0.851429
2016-09-27 05:16:17,387 Epoch[8] Batch [14950] Speed: 9.48 samples/sec Train-Accuracy=0.835714
2016-09-27 05:16:59,777 Epoch[8] Batch [15000] Speed: 9.44 samples/sec Train-Accuracy=0.848571
2016-09-27 05:17:39,818 Epoch[8] Batch [15050] Speed: 9.99 samples/sec Train-Accuracy=0.857143
2016-09-27 05:18:16,467 Epoch[8] Batch [15100] Speed: 10.91 samples/sec Train-Accuracy=0.847143
2016-09-27 05:18:53,250 Epoch[8] Batch [15150] Speed: 10.87 samples/sec Train-Accuracy=0.847143
2016-09-27 05:19:30,068 Epoch[8] Batch [15200] Speed: 10.86 samples/sec Train-Accuracy=0.837143
2016-09-27 05:20:06,843 Epoch[8] Batch [15250] Speed: 10.88 samples/sec Train-Accuracy=0.848571
2016-09-27 05:20:45,871 Epoch[8] Batch [15300] Speed: 10.25 samples/sec Train-Accuracy=0.837143
2016-09-27 05:21:25,047 Epoch[8] Batch [15350] Speed: 10.21 samples/sec Train-Accuracy=0.864286
2016-09-27 05:22:02,249 Epoch[8] Batch [15400] Speed: 10.75 samples/sec Train-Accuracy=0.842857
2016-09-27 05:22:40,206 Epoch[8] Batch [15450] Speed: 10.54 samples/sec Train-Accuracy=0.835714
2016-09-27 05:23:18,276 Epoch[8] Batch [15500] Speed: 10.51 samples/sec Train-Accuracy=0.855714
2016-09-27 05:23:55,262 Epoch[8] Batch [15550] Speed: 10.82 samples/sec Train-Accuracy=0.834286
2016-09-27 05:24:31,818 Epoch[8] Batch [15600] Speed: 10.94 samples/sec Train-Accuracy=0.834286
2016-09-27 05:25:08,384 Epoch[8] Batch [15650] Speed: 10.94 samples/sec Train-Accuracy=0.834286
2016-09-27 05:25:44,986 Epoch[8] Batch [15700] Speed: 10.93 samples/sec Train-Accuracy=0.867143
2016-09-27 05:26:21,588 Epoch[8] Batch [15750] Speed: 10.93 samples/sec Train-Accuracy=0.835714
2016-09-27 05:26:58,178 Epoch[8] Batch [15800] Speed: 10.93 samples/sec Train-Accuracy=0.832857
2016-09-27 05:27:37,102 Epoch[8] Batch [15850] Speed: 10.28 samples/sec Train-Accuracy=0.830000
2016-09-27 05:28:18,771 Epoch[8] Batch [15900] Speed: 9.60 samples/sec Train-Accuracy=0.837143
2016-09-27 05:28:56,692 Epoch[8] Batch [15950] Speed: 10.55 samples/sec Train-Accuracy=0.828571
2016-09-27 05:29:33,355 Epoch[8] Batch [16000] Speed: 10.91 samples/sec Train-Accuracy=0.811429
2016-09-27 05:30:10,114 Epoch[8] Batch [16050] Speed: 10.88 samples/sec Train-Accuracy=0.852857
2016-09-27 05:30:46,926 Epoch[8] Batch [16100] Speed: 10.87 samples/sec Train-Accuracy=0.860000
2016-09-27 05:31:23,540 Epoch[8] Batch [16150] Speed: 10.92 samples/sec Train-Accuracy=0.848571
2016-09-27 05:32:00,217 Epoch[8] Batch [16200] Speed: 10.91 samples/sec Train-Accuracy=0.820000
2016-09-27 05:32:36,828 Epoch[8] Batch [16250] Speed: 10.93 samples/sec Train-Accuracy=0.857143
2016-09-27 05:33:13,544 Epoch[8] Batch [16300] Speed: 10.89 samples/sec Train-Accuracy=0.828571
2016-09-27 05:33:51,769 Epoch[8] Batch [16350] Speed: 10.46 samples/sec Train-Accuracy=0.830000
2016-09-27 05:34:28,126 Epoch[8] Batch [16400] Speed: 11.00 samples/sec Train-Accuracy=0.842857
2016-09-27 05:35:04,492 Epoch[8] Batch [16450] Speed: 11.00 samples/sec Train-Accuracy=0.818571
2016-09-27 05:35:40,932 Epoch[8] Batch [16500] Speed: 10.98 samples/sec Train-Accuracy=0.820000
2016-09-27 05:36:17,432 Epoch[8] Batch [16550] Speed: 10.96 samples/sec Train-Accuracy=0.808571
2016-09-27 05:36:53,941 Epoch[8] Batch [16600] Speed: 10.96 samples/sec Train-Accuracy=0.821429
2016-09-27 05:37:30,402 Epoch[8] Batch [16650] Speed: 10.97 samples/sec Train-Accuracy=0.825714
2016-09-27 05:38:06,885 Epoch[8] Batch [16700] Speed: 10.96 samples/sec Train-Accuracy=0.868571
2016-09-27 05:38:43,393 Epoch[8] Batch [16750] Speed: 10.96 samples/sec Train-Accuracy=0.828571
2016-09-27 05:39:19,873 Epoch[8] Batch [16800] Speed: 10.96 samples/sec Train-Accuracy=0.862857
2016-09-27 05:39:56,316 Epoch[8] Batch [16850] Speed: 10.98 samples/sec Train-Accuracy=0.812857
2016-09-27 05:40:32,748 Epoch[8] Batch [16900] Speed: 10.98 samples/sec Train-Accuracy=0.860000
2016-09-27 05:41:09,334 Epoch[8] Batch [16950] Speed: 10.93 samples/sec Train-Accuracy=0.812857
2016-09-27 05:41:45,814 Epoch[8] Batch [17000] Speed: 10.96 samples/sec Train-Accuracy=0.827143
2016-09-27 05:42:23,211 Epoch[8] Batch [17050] Speed: 10.70 samples/sec Train-Accuracy=0.838571
2016-09-27 05:42:59,716 Epoch[8] Batch [17100] Speed: 10.96 samples/sec Train-Accuracy=0.795714
2016-09-27 05:43:37,250 Epoch[8] Batch [17150] Speed: 10.66 samples/sec Train-Accuracy=0.820000
2016-09-27 05:44:14,287 Epoch[8] Batch [17200] Speed: 10.80 samples/sec Train-Accuracy=0.832857
2016-09-27 05:44:51,247 Epoch[8] Batch [17250] Speed: 10.82 samples/sec Train-Accuracy=0.815714
2016-09-27 05:45:28,164 Epoch[8] Batch [17300] Speed: 10.84 samples/sec Train-Accuracy=0.818571
2016-09-27 05:46:04,755 Epoch[8] Batch [17350] Speed: 10.93 samples/sec Train-Accuracy=0.795714
2016-09-27 05:46:41,227 Epoch[8] Batch [17400] Speed: 10.97 samples/sec Train-Accuracy=0.827143
2016-09-27 05:47:17,676 Epoch[8] Batch [17450] Speed: 10.97 samples/sec Train-Accuracy=0.835714
2016-09-27 05:47:54,199 Epoch[8] Batch [17500] Speed: 10.95 samples/sec Train-Accuracy=0.838571
2016-09-27 05:48:35,131 Epoch[8] Batch [17550] Speed: 9.77 samples/sec Train-Accuracy=0.842857
2016-09-27 05:49:13,301 Epoch[8] Batch [17600] Speed: 10.48 samples/sec Train-Accuracy=0.832857
2016-09-27 05:49:49,730 Epoch[8] Batch [17650] Speed: 10.98 samples/sec Train-Accuracy=0.822857
2016-09-27 05:50:26,104 Epoch[8] Batch [17700] Speed: 11.00 samples/sec Train-Accuracy=0.851429
2016-09-27 05:51:02,506 Epoch[8] Batch [17750] Speed: 10.99 samples/sec Train-Accuracy=0.864286
2016-09-27 05:51:38,990 Epoch[8] Batch [17800] Speed: 10.96 samples/sec Train-Accuracy=0.834286
2016-09-27 05:52:15,497 Epoch[8] Batch [17850] Speed: 10.96 samples/sec Train-Accuracy=0.848571
2016-09-27 05:52:52,026 Epoch[8] Batch [17900] Speed: 10.95 samples/sec Train-Accuracy=0.801429
2016-09-27 05:53:30,430 Epoch[8] Batch [17950] Speed: 10.42 samples/sec Train-Accuracy=0.832857
2016-09-27 05:54:08,150 Epoch[8] Batch [18000] Speed: 10.60 samples/sec Train-Accuracy=0.850000
2016-09-27 05:54:45,448 Epoch[8] Batch [18050] Speed: 10.72 samples/sec Train-Accuracy=0.834286
2016-09-27 05:55:28,392 Epoch[8] Batch [18100] Speed: 9.31 samples/sec Train-Accuracy=0.844286
2016-09-27 05:56:10,431 Epoch[8] Batch [18150] Speed: 9.51 samples/sec Train-Accuracy=0.808571
2016-09-27 05:56:52,682 Epoch[8] Batch [18200] Speed: 9.47 samples/sec Train-Accuracy=0.810000
2016-09-27 05:57:34,507 Epoch[8] Batch [18250] Speed: 9.56 samples/sec Train-Accuracy=0.824286
2016-09-27 05:58:16,029 Epoch[8] Batch [18300] Speed: 9.63 samples/sec Train-Accuracy=0.861429
2016-09-27 05:58:57,924 Epoch[8] Batch [18350] Speed: 9.55 samples/sec Train-Accuracy=0.850000
2016-09-27 05:59:39,780 Epoch[8] Batch [18400] Speed: 9.56 samples/sec Train-Accuracy=0.842857
2016-09-27 06:00:21,722 Epoch[8] Batch [18450] Speed: 9.54 samples/sec Train-Accuracy=0.810000
2016-09-27 06:01:03,350 Epoch[8] Batch [18500] Speed: 9.61 samples/sec Train-Accuracy=0.818571
2016-09-27 06:01:41,342 Epoch[8] Batch [18550] Speed: 10.53 samples/sec Train-Accuracy=0.835714
2016-09-27 06:02:18,928 Epoch[8] Batch [18600] Speed: 10.64 samples/sec Train-Accuracy=0.815714
2016-09-27 06:02:55,839 Epoch[8] Batch [18650] Speed: 10.84 samples/sec Train-Accuracy=0.844286
2016-09-27 06:03:32,336 Epoch[8] Batch [18700] Speed: 10.96 samples/sec Train-Accuracy=0.830000
2016-09-27 06:04:08,817 Epoch[8] Batch [18750] Speed: 10.96 samples/sec Train-Accuracy=0.841429
2016-09-27 06:04:45,490 Epoch[8] Batch [18800] Speed: 10.91 samples/sec Train-Accuracy=0.840000
2016-09-27 06:05:27,610 Epoch[8] Batch [18850] Speed: 9.50 samples/sec Train-Accuracy=0.845714
2016-09-27 06:06:04,125 Epoch[8] Batch [18900] Speed: 10.95 samples/sec Train-Accuracy=0.831429
2016-09-27 06:06:40,617 Epoch[8] Batch [18950] Speed: 10.96 samples/sec Train-Accuracy=0.840000
2016-09-27 06:07:17,261 Epoch[8] Batch [19000] Speed: 10.92 samples/sec Train-Accuracy=0.810000
2016-09-27 06:07:53,699 Epoch[8] Batch [19050] Speed: 10.98 samples/sec Train-Accuracy=0.847143
2016-09-27 06:08:30,145 Epoch[8] Batch [19100] Speed: 10.98 samples/sec Train-Accuracy=0.861429
2016-09-27 06:09:06,655 Epoch[8] Batch [19150] Speed: 10.96 samples/sec Train-Accuracy=0.870000
2016-09-27 06:09:43,079 Epoch[8] Batch [19200] Speed: 10.98 samples/sec Train-Accuracy=0.814286
2016-09-27 06:10:19,566 Epoch[8] Batch [19250] Speed: 10.96 samples/sec Train-Accuracy=0.800000
2016-09-27 06:10:56,068 Epoch[8] Batch [19300] Speed: 10.96 samples/sec Train-Accuracy=0.861429
2016-09-27 06:11:32,894 Epoch[8] Batch [19350] Speed: 10.86 samples/sec Train-Accuracy=0.847143
2016-09-27 06:12:10,079 Epoch[8] Batch [19400] Speed: 10.76 samples/sec Train-Accuracy=0.804286
2016-09-27 06:12:46,532 Epoch[8] Batch [19450] Speed: 10.97 samples/sec Train-Accuracy=0.838571
2016-09-27 06:13:23,017 Epoch[8] Batch [19500] Speed: 10.96 samples/sec Train-Accuracy=0.851429
2016-09-27 06:13:59,549 Epoch[8] Batch [19550] Speed: 10.95 samples/sec Train-Accuracy=0.847143
2016-09-27 06:14:36,097 Epoch[8] Batch [19600] Speed: 10.94 samples/sec Train-Accuracy=0.845714
2016-09-27 06:15:12,380 Epoch[8] Batch [19650] Speed: 11.02 samples/sec Train-Accuracy=0.875714
2016-09-27 06:15:48,669 Epoch[8] Batch [19700] Speed: 11.02 samples/sec Train-Accuracy=0.810000
2016-09-27 06:16:24,893 Epoch[8] Batch [19750] Speed: 11.04 samples/sec Train-Accuracy=0.811429
2016-09-27 06:17:01,151 Epoch[8] Batch [19800] Speed: 11.03 samples/sec Train-Accuracy=0.865714
2016-09-27 06:17:40,368 Epoch[8] Batch [19850] Speed: 10.20 samples/sec Train-Accuracy=0.824286
2016-09-27 06:18:23,216 Epoch[8] Batch [19900] Speed: 9.34 samples/sec Train-Accuracy=0.815714
2016-09-27 06:19:04,314 Epoch[8] Batch [19950] Speed: 9.73 samples/sec Train-Accuracy=0.827143
2016-09-27 06:19:43,829 Epoch[8] Batch [20000] Speed: 10.12 samples/sec Train-Accuracy=0.864286
2016-09-27 06:20:21,218 Epoch[8] Batch [20050] Speed: 10.70 samples/sec Train-Accuracy=0.864286
2016-09-27 06:20:58,718 Epoch[8] Batch [20100] Speed: 10.67 samples/sec Train-Accuracy=0.832857
2016-09-27 06:21:36,560 Epoch[8] Batch [20150] Speed: 10.57 samples/sec Train-Accuracy=0.851429
2016-09-27 06:22:13,987 Epoch[8] Batch [20200] Speed: 10.69 samples/sec Train-Accuracy=0.835714
2016-09-27 06:22:51,629 Epoch[8] Batch [20250] Speed: 10.63 samples/sec Train-Accuracy=0.825714
2016-09-27 06:23:29,322 Epoch[8] Batch [20300] Speed: 10.61 samples/sec Train-Accuracy=0.854286
2016-09-27 06:24:06,925 Epoch[8] Batch [20350] Speed: 10.64 samples/sec Train-Accuracy=0.848571
2016-09-27 06:24:45,161 Epoch[8] Batch [20400] Speed: 10.46 samples/sec Train-Accuracy=0.851429
2016-09-27 06:25:21,159 Epoch[8] Batch [20450] Speed: 11.11 samples/sec Train-Accuracy=0.854286
2016-09-27 06:25:57,097 Epoch[8] Batch [20500] Speed: 11.13 samples/sec Train-Accuracy=0.845714
2016-09-27 06:26:33,032 Epoch[8] Batch [20550] Speed: 11.13 samples/sec Train-Accuracy=0.831429
2016-09-27 06:27:09,044 Epoch[8] Batch [20600] Speed: 11.11 samples/sec Train-Accuracy=0.817143
2016-09-27 06:27:45,066 Epoch[8] Batch [20650] Speed: 11.10 samples/sec Train-Accuracy=0.824286
2016-09-27 06:28:20,980 Epoch[8] Batch [20700] Speed: 11.14 samples/sec Train-Accuracy=0.835714
2016-09-27 06:28:56,993 Epoch[8] Batch [20750] Speed: 11.11 samples/sec Train-Accuracy=0.842857
2016-09-27 06:29:32,959 Epoch[8] Batch [20800] Speed: 11.12 samples/sec Train-Accuracy=0.837143
2016-09-27 06:30:09,356 Epoch[8] Batch [20850] Speed: 10.99 samples/sec Train-Accuracy=0.838571
2016-09-27 06:30:46,318 Epoch[8] Batch [20900] Speed: 10.82 samples/sec Train-Accuracy=0.831429
2016-09-27 06:31:23,903 Epoch[8] Batch [20950] Speed: 10.64 samples/sec Train-Accuracy=0.840000
2016-09-27 06:32:01,374 Epoch[8] Batch [21000] Speed: 10.67 samples/sec Train-Accuracy=0.857143
2016-09-27 06:32:39,016 Epoch[8] Batch [21050] Speed: 10.63 samples/sec Train-Accuracy=0.828571
2016-09-27 06:33:16,632 Epoch[8] Batch [21100] Speed: 10.63 samples/sec Train-Accuracy=0.815714
2016-09-27 06:33:52,973 Epoch[8] Batch [21150] Speed: 11.01 samples/sec Train-Accuracy=0.840000
2016-09-27 06:34:29,040 Epoch[8] Batch [21200] Speed: 11.09 samples/sec Train-Accuracy=0.860000
2016-09-27 06:35:05,035 Epoch[8] Batch [21250] Speed: 11.11 samples/sec Train-Accuracy=0.837143
2016-09-27 06:35:41,019 Epoch[8] Batch [21300] Speed: 11.12 samples/sec Train-Accuracy=0.838571
2016-09-27 06:36:17,076 Epoch[8] Batch [21350] Speed: 11.09 samples/sec Train-Accuracy=0.854286
2016-09-27 06:36:53,114 Epoch[8] Batch [21400] Speed: 11.10 samples/sec Train-Accuracy=0.845714
2016-09-27 06:37:29,140 Epoch[8] Batch [21450] Speed: 11.10 samples/sec Train-Accuracy=0.835714
2016-09-27 06:38:06,626 Epoch[8] Batch [21500] Speed: 10.67 samples/sec Train-Accuracy=0.847143
2016-09-27 06:38:42,748 Epoch[8] Batch [21550] Speed: 11.07 samples/sec Train-Accuracy=0.834286
2016-09-27 06:39:23,010 Epoch[8] Batch [21600] Speed: 9.93 samples/sec Train-Accuracy=0.821429
2016-09-27 06:40:04,585 Epoch[8] Batch [21650] Speed: 9.62 samples/sec Train-Accuracy=0.818571
2016-09-27 06:40:43,788 Epoch[8] Batch [21700] Speed: 10.20 samples/sec Train-Accuracy=0.827143
2016-09-27 06:41:21,532 Epoch[8] Batch [21750] Speed: 10.60 samples/sec Train-Accuracy=0.860000
2016-09-27 06:42:00,092 Epoch[8] Batch [21800] Speed: 10.37 samples/sec Train-Accuracy=0.848571
2016-09-27 06:42:38,826 Epoch[8] Batch [21850] Speed: 10.33 samples/sec Train-Accuracy=0.851429
2016-09-27 06:43:15,739 Epoch[8] Batch [21900] Speed: 10.84 samples/sec Train-Accuracy=0.884286
2016-09-27 06:43:51,698 Epoch[8] Batch [21950] Speed: 11.12 samples/sec Train-Accuracy=0.860000
2016-09-27 06:44:27,597 Epoch[8] Batch [22000] Speed: 11.14 samples/sec Train-Accuracy=0.848571
2016-09-27 06:45:03,406 Epoch[8] Batch [22050] Speed: 11.17 samples/sec Train-Accuracy=0.821429
2016-09-27 06:45:39,743 Epoch[8] Batch [22100] Speed: 11.01 samples/sec Train-Accuracy=0.850000
2016-09-27 06:46:19,924 Epoch[8] Batch [22150] Speed: 9.95 samples/sec Train-Accuracy=0.837143
2016-09-27 06:46:56,084 Epoch[8] Batch [22200] Speed: 11.06 samples/sec Train-Accuracy=0.847143
2016-09-27 06:47:32,249 Epoch[8] Batch [22250] Speed: 11.06 samples/sec Train-Accuracy=0.848571
2016-09-27 06:48:08,299 Epoch[8] Batch [22300] Speed: 11.10 samples/sec Train-Accuracy=0.864286
2016-09-27 06:48:48,211 Epoch[8] Batch [22350] Speed: 10.02 samples/sec Train-Accuracy=0.875714
2016-09-27 06:49:27,890 Epoch[8] Batch [22400] Speed: 10.08 samples/sec Train-Accuracy=0.835714
2016-09-27 06:50:06,260 Epoch[8] Batch [22450] Speed: 10.43 samples/sec Train-Accuracy=0.831429
2016-09-27 06:50:43,513 Epoch[8] Batch [22500] Speed: 10.74 samples/sec Train-Accuracy=0.877143
2016-09-27 06:51:20,027 Epoch[8] Batch [22550] Speed: 10.95 samples/sec Train-Accuracy=0.824286
2016-09-27 06:52:01,023 Epoch[8] Batch [22600] Speed: 9.76 samples/sec Train-Accuracy=0.822857
2016-09-27 06:52:42,608 Epoch[8] Batch [22650] Speed: 9.62 samples/sec Train-Accuracy=0.855714
2016-09-27 06:53:23,507 Epoch[8] Batch [22700] Speed: 9.78 samples/sec Train-Accuracy=0.864286
2016-09-27 06:53:59,647 Epoch[8] Batch [22750] Speed: 11.07 samples/sec Train-Accuracy=0.794286
2016-09-27 06:54:35,679 Epoch[8] Batch [22800] Speed: 11.10 samples/sec Train-Accuracy=0.837143
2016-09-27 06:55:11,665 Epoch[8] Batch [22850] Speed: 11.12 samples/sec Train-Accuracy=0.867143
2016-09-27 06:55:47,619 Epoch[8] Batch [22900] Speed: 11.13 samples/sec Train-Accuracy=0.822857
2016-09-27 06:56:23,554 Epoch[8] Batch [22950] Speed: 11.13 samples/sec Train-Accuracy=0.851429
2016-09-27 06:56:59,559 Epoch[8] Batch [23000] Speed: 11.11 samples/sec Train-Accuracy=0.841429
2016-09-27 06:57:35,609 Epoch[8] Batch [23050] Speed: 11.10 samples/sec Train-Accuracy=0.838571
2016-09-27 06:58:11,610 Epoch[8] Batch [23100] Speed: 11.11 samples/sec Train-Accuracy=0.862857
2016-09-27 06:58:47,579 Epoch[8] Batch [23150] Speed: 11.12 samples/sec Train-Accuracy=0.848571
2016-09-27 06:59:24,477 Epoch[8] Batch [23200] Speed: 10.84 samples/sec Train-Accuracy=0.828571
2016-09-27 07:00:01,153 Epoch[8] Batch [23250] Speed: 10.91 samples/sec Train-Accuracy=0.801429
2016-09-27 07:00:38,233 Epoch[8] Batch [23300] Speed: 10.79 samples/sec Train-Accuracy=0.834286
2016-09-27 07:01:15,715 Epoch[8] Batch [23350] Speed: 10.67 samples/sec Train-Accuracy=0.850000
2016-09-27 07:01:52,836 Epoch[8] Batch [23400] Speed: 10.78 samples/sec Train-Accuracy=0.860000
2016-09-27 07:02:29,239 Epoch[8] Batch [23450] Speed: 10.99 samples/sec Train-Accuracy=0.838571
2016-09-27 07:03:09,425 Epoch[8] Batch [23500] Speed: 9.95 samples/sec Train-Accuracy=0.865714
2016-09-27 07:03:45,907 Epoch[8] Batch [23550] Speed: 10.96 samples/sec Train-Accuracy=0.835714
2016-09-27 07:04:21,945 Epoch[8] Batch [23600] Speed: 11.10 samples/sec Train-Accuracy=0.830000
2016-09-27 07:04:59,832 Epoch[8] Batch [23650] Speed: 10.56 samples/sec Train-Accuracy=0.842857
2016-09-27 07:05:39,354 Epoch[8] Batch [23700] Speed: 10.12 samples/sec Train-Accuracy=0.858571
2016-09-27 07:06:17,740 Epoch[8] Batch [23750] Speed: 10.42 samples/sec Train-Accuracy=0.825714
2016-09-27 07:06:55,623 Epoch[8] Batch [23800] Speed: 10.56 samples/sec Train-Accuracy=0.834286
2016-09-27 07:07:32,390 Epoch[8] Batch [23850] Speed: 10.88 samples/sec Train-Accuracy=0.847143
2016-09-27 07:08:10,065 Epoch[8] Batch [23900] Speed: 10.62 samples/sec Train-Accuracy=0.841429
2016-09-27 07:08:46,496 Epoch[8] Batch [23950] Speed: 10.98 samples/sec Train-Accuracy=0.847143
2016-09-27 07:09:23,539 Epoch[8] Batch [24000] Speed: 10.80 samples/sec Train-Accuracy=0.820000
2016-09-27 07:10:01,016 Epoch[8] Batch [24050] Speed: 10.67 samples/sec Train-Accuracy=0.845714
2016-09-27 07:10:38,239 Epoch[8] Batch [24100] Speed: 10.75 samples/sec Train-Accuracy=0.844286
2016-09-27 07:11:15,502 Epoch[8] Batch [24150] Speed: 10.73 samples/sec Train-Accuracy=0.830000
2016-09-27 07:11:53,213 Epoch[8] Batch [24200] Speed: 10.61 samples/sec Train-Accuracy=0.835714
2016-09-27 07:12:29,883 Epoch[8] Batch [24250] Speed: 10.91 samples/sec Train-Accuracy=0.835714
2016-09-27 07:13:05,999 Epoch[8] Batch [24300] Speed: 11.08 samples/sec Train-Accuracy=0.831429
2016-09-27 07:13:42,119 Epoch[8] Batch [24350] Speed: 11.07 samples/sec Train-Accuracy=0.838571
2016-09-27 07:14:18,328 Epoch[8] Batch [24400] Speed: 11.05 samples/sec Train-Accuracy=0.875714
2016-09-27 07:14:54,554 Epoch[8] Batch [24450] Speed: 11.04 samples/sec Train-Accuracy=0.842857
2016-09-27 07:15:30,792 Epoch[8] Batch [24500] Speed: 11.04 samples/sec Train-Accuracy=0.837143
2016-09-27 07:16:07,070 Epoch[8] Batch [24550] Speed: 11.03 samples/sec Train-Accuracy=0.844286
2016-09-27 07:16:44,168 Epoch[8] Batch [24600] Speed: 10.78 samples/sec Train-Accuracy=0.835714
2016-09-27 07:17:21,687 Epoch[8] Batch [24650] Speed: 10.66 samples/sec Train-Accuracy=0.861429
2016-09-27 07:17:58,991 Epoch[8] Batch [24700] Speed: 10.72 samples/sec Train-Accuracy=0.844286
2016-09-27 07:18:36,144 Epoch[8] Batch [24750] Speed: 10.77 samples/sec Train-Accuracy=0.805714
2016-09-27 07:19:12,441 Epoch[8] Batch [24800] Speed: 11.02 samples/sec Train-Accuracy=0.831429
2016-09-27 07:19:48,988 Epoch[8] Batch [24850] Speed: 10.94 samples/sec Train-Accuracy=0.837143
2016-09-27 07:20:26,049 Epoch[8] Batch [24900] Speed: 10.79 samples/sec Train-Accuracy=0.847143
2016-09-27 07:21:03,469 Epoch[8] Batch [24950] Speed: 10.69 samples/sec Train-Accuracy=0.828571
2016-09-27 07:21:40,690 Epoch[8] Batch [25000] Speed: 10.75 samples/sec Train-Accuracy=0.811429
2016-09-27 07:22:16,598 Epoch[8] Batch [25050] Speed: 11.14 samples/sec Train-Accuracy=0.827143
2016-09-27 07:22:57,357 Epoch[8] Batch [25100] Speed: 9.81 samples/sec Train-Accuracy=0.840000
2016-09-27 07:23:42,032 Epoch[8] Batch [25150] Speed: 8.95 samples/sec Train-Accuracy=0.841429
2016-09-27 07:24:19,184 Epoch[8] Batch [25200] Speed: 10.77 samples/sec Train-Accuracy=0.811429
2016-09-27 07:24:59,413 Epoch[8] Batch [25250] Speed: 9.94 samples/sec Train-Accuracy=0.821429
2016-09-27 07:25:39,976 Epoch[8] Batch [25300] Speed: 9.86 samples/sec Train-Accuracy=0.831429
2016-09-27 07:26:16,118 Epoch[8] Batch [25350] Speed: 11.07 samples/sec Train-Accuracy=0.821429
2016-09-27 07:26:52,136 Epoch[8] Batch [25400] Speed: 11.11 samples/sec Train-Accuracy=0.802857
2016-09-27 07:27:28,165 Epoch[8] Batch [25450] Speed: 11.10 samples/sec Train-Accuracy=0.851429
2016-09-27 07:28:04,097 Epoch[8] Batch [25500] Speed: 11.13 samples/sec Train-Accuracy=0.845714
2016-09-27 07:28:39,998 Epoch[8] Batch [25550] Speed: 11.14 samples/sec Train-Accuracy=0.835714
2016-09-27 07:29:16,059 Epoch[8] Batch [25600] Speed: 11.09 samples/sec Train-Accuracy=0.838571
2016-09-27 07:29:53,770 Epoch[8] Batch [25650] Speed: 10.61 samples/sec Train-Accuracy=0.855714
2016-09-27 07:30:33,402 Epoch[8] Batch [25700] Speed: 10.09 samples/sec Train-Accuracy=0.832857
2016-09-27 07:31:10,797 Epoch[8] Batch [25750] Speed: 10.70 samples/sec Train-Accuracy=0.842857
2016-09-27 07:31:48,168 Epoch[8] Batch [25800] Speed: 10.70 samples/sec Train-Accuracy=0.841429
2016-09-27 07:32:25,638 Epoch[8] Batch [25850] Speed: 10.68 samples/sec Train-Accuracy=0.821429
2016-09-27 07:33:02,552 Epoch[8] Batch [25900] Speed: 10.84 samples/sec Train-Accuracy=0.841429
2016-09-27 07:33:39,954 Epoch[8] Batch [25950] Speed: 10.69 samples/sec Train-Accuracy=0.838571
2016-09-27 07:34:17,464 Epoch[8] Batch [26000] Speed: 10.66 samples/sec Train-Accuracy=0.824286
2016-09-27 07:34:54,937 Epoch[8] Batch [26050] Speed: 10.67 samples/sec Train-Accuracy=0.837143
2016-09-27 07:35:32,818 Epoch[8] Batch [26100] Speed: 10.56 samples/sec Train-Accuracy=0.804286
2016-09-27 07:36:10,349 Epoch[8] Batch [26150] Speed: 10.66 samples/sec Train-Accuracy=0.828571
2016-09-27 07:36:47,932 Epoch[8] Batch [26200] Speed: 10.64 samples/sec Train-Accuracy=0.832857
2016-09-27 07:37:25,174 Epoch[8] Batch [26250] Speed: 10.74 samples/sec Train-Accuracy=0.840000
2016-09-27 07:38:02,179 Epoch[8] Batch [26300] Speed: 10.81 samples/sec Train-Accuracy=0.845714
2016-09-27 07:38:38,062 Epoch[8] Batch [26350] Speed: 11.15 samples/sec Train-Accuracy=0.847143
2016-09-27 07:39:13,931 Epoch[8] Batch [26400] Speed: 11.15 samples/sec Train-Accuracy=0.825714
2016-09-27 07:39:49,723 Epoch[8] Batch [26450] Speed: 11.18 samples/sec Train-Accuracy=0.788571
2016-09-27 07:40:25,543 Epoch[8] Batch [26500] Speed: 11.17 samples/sec Train-Accuracy=0.842857
2016-09-27 07:41:01,634 Epoch[8] Batch [26550] Speed: 11.08 samples/sec Train-Accuracy=0.837143
2016-09-27 07:41:37,609 Epoch[8] Batch [26600] Speed: 11.12 samples/sec Train-Accuracy=0.852857
2016-09-27 07:42:13,602 Epoch[8] Batch [26650] Speed: 11.11 samples/sec Train-Accuracy=0.837143
2016-09-27 07:42:49,632 Epoch[8] Batch [26700] Speed: 11.10 samples/sec Train-Accuracy=0.822857
2016-09-27 07:43:25,653 Epoch[8] Batch [26750] Speed: 11.10 samples/sec Train-Accuracy=0.870000
2016-09-27 07:44:01,651 Epoch[8] Batch [26800] Speed: 11.11 samples/sec Train-Accuracy=0.862857
2016-09-27 07:44:37,596 Epoch[8] Batch [26850] Speed: 11.13 samples/sec Train-Accuracy=0.854286
2016-09-27 07:45:19,877 Epoch[8] Batch [26900] Speed: 9.46 samples/sec Train-Accuracy=0.825714
2016-09-27 07:45:58,876 Epoch[8] Batch [26950] Speed: 10.26 samples/sec Train-Accuracy=0.857143
2016-09-27 07:46:34,969 Epoch[8] Batch [27000] Speed: 11.08 samples/sec Train-Accuracy=0.841429
2016-09-27 07:47:12,879 Epoch[8] Batch [27050] Speed: 10.55 samples/sec Train-Accuracy=0.847143
2016-09-27 07:47:56,106 Epoch[8] Batch [27100] Speed: 9.25 samples/sec Train-Accuracy=0.854286
2016-09-27 07:48:34,901 Epoch[8] Batch [27150] Speed: 10.31 samples/sec Train-Accuracy=0.831429
2016-09-27 07:49:11,957 Epoch[8] Batch [27200] Speed: 10.79 samples/sec Train-Accuracy=0.828571
2016-09-27 07:49:48,248 Epoch[8] Batch [27250] Speed: 11.02 samples/sec Train-Accuracy=0.884286
2016-09-27 07:50:24,679 Epoch[8] Batch [27300] Speed: 10.98 samples/sec Train-Accuracy=0.852857
2016-09-27 07:51:01,008 Epoch[8] Batch [27350] Speed: 11.01 samples/sec Train-Accuracy=0.825714
2016-09-27 07:51:37,258 Epoch[8] Batch [27400] Speed: 11.03 samples/sec Train-Accuracy=0.821429
2016-09-27 07:52:13,349 Epoch[8] Batch [27450] Speed: 11.08 samples/sec Train-Accuracy=0.837143
2016-09-27 07:52:49,525 Epoch[8] Batch [27500] Speed: 11.06 samples/sec Train-Accuracy=0.850000
2016-09-27 07:53:25,739 Epoch[8] Batch [27550] Speed: 11.05 samples/sec Train-Accuracy=0.860000
2016-09-27 07:54:02,089 Epoch[8] Batch [27600] Speed: 11.00 samples/sec Train-Accuracy=0.858571
2016-09-27 07:54:38,849 Epoch[8] Batch [27650] Speed: 10.88 samples/sec Train-Accuracy=0.830000
2016-09-27 07:55:16,085 Epoch[8] Batch [27700] Speed: 10.74 samples/sec Train-Accuracy=0.835714
2016-09-27 07:55:53,652 Epoch[8] Batch [27750] Speed: 10.65 samples/sec Train-Accuracy=0.855714
2016-09-27 07:56:30,061 Epoch[8] Batch [27800] Speed: 10.99 samples/sec Train-Accuracy=0.832857
2016-09-27 07:57:06,060 Epoch[8] Batch [27850] Speed: 11.11 samples/sec Train-Accuracy=0.810000
2016-09-27 07:57:42,225 Epoch[8] Batch [27900] Speed: 11.06 samples/sec Train-Accuracy=0.822857
2016-09-27 07:58:22,311 Epoch[8] Batch [27950] Speed: 9.98 samples/sec Train-Accuracy=0.842857
2016-09-27 07:59:00,160 Epoch[8] Batch [28000] Speed: 10.57 samples/sec Train-Accuracy=0.854286
2016-09-27 07:59:37,400 Epoch[8] Batch [28050] Speed: 10.74 samples/sec Train-Accuracy=0.851429
2016-09-27 08:00:14,780 Epoch[8] Batch [28100] Speed: 10.70 samples/sec Train-Accuracy=0.812857
2016-09-27 08:00:52,290 Epoch[8] Batch [28150] Speed: 10.66 samples/sec Train-Accuracy=0.864286
2016-09-27 08:01:30,038 Epoch[8] Batch [28200] Speed: 10.60 samples/sec Train-Accuracy=0.860000
2016-09-27 08:02:07,429 Epoch[8] Batch [28250] Speed: 10.70 samples/sec Train-Accuracy=0.842857
2016-09-27 08:02:45,214 Epoch[8] Batch [28300] Speed: 10.59 samples/sec Train-Accuracy=0.842857
2016-09-27 08:03:22,441 Epoch[8] Batch [28350] Speed: 10.74 samples/sec Train-Accuracy=0.832857
2016-09-27 08:03:59,560 Epoch[8] Batch [28400] Speed: 10.78 samples/sec Train-Accuracy=0.817143
2016-09-27 08:04:36,813 Epoch[8] Batch [28450] Speed: 10.74 samples/sec Train-Accuracy=0.844286
2016-09-27 08:05:14,019 Epoch[8] Batch [28500] Speed: 10.75 samples/sec Train-Accuracy=0.822857
2016-09-27 08:05:53,622 Epoch[8] Batch [28550] Speed: 10.10 samples/sec Train-Accuracy=0.812857
2016-09-27 08:06:31,832 Epoch[8] Batch [28600] Speed: 10.47 samples/sec Train-Accuracy=0.830000
2016-09-27 08:07:09,311 Epoch[8] Batch [28650] Speed: 10.67 samples/sec Train-Accuracy=0.847143
2016-09-27 08:07:46,619 Epoch[8] Batch [28700] Speed: 10.72 samples/sec Train-Accuracy=0.818571
2016-09-27 08:08:23,843 Epoch[8] Batch [28750] Speed: 10.75 samples/sec Train-Accuracy=0.801429
2016-09-27 08:09:01,133 Epoch[8] Batch [28800] Speed: 10.73 samples/sec Train-Accuracy=0.841429
2016-09-27 08:09:38,360 Epoch[8] Batch [28850] Speed: 10.74 samples/sec Train-Accuracy=0.807143
2016-09-27 08:10:15,608 Epoch[8] Batch [28900] Speed: 10.74 samples/sec Train-Accuracy=0.814286
2016-09-27 08:10:52,910 Epoch[8] Batch [28950] Speed: 10.72 samples/sec Train-Accuracy=0.850000
2016-09-27 08:11:30,034 Epoch[8] Batch [29000] Speed: 10.77 samples/sec Train-Accuracy=0.877143
2016-09-27 08:12:07,288 Epoch[8] Batch [29050] Speed: 10.74 samples/sec Train-Accuracy=0.841429
2016-09-27 08:12:45,075 Epoch[8] Batch [29100] Speed: 10.59 samples/sec Train-Accuracy=0.827143
2016-09-27 08:13:22,271 Epoch[8] Batch [29150] Speed: 10.75 samples/sec Train-Accuracy=0.827143
2016-09-27 08:13:59,604 Epoch[8] Batch [29200] Speed: 10.71 samples/sec Train-Accuracy=0.857143
2016-09-27 08:14:36,943 Epoch[8] Batch [29250] Speed: 10.71 samples/sec Train-Accuracy=0.850000
2016-09-27 08:15:14,279 Epoch[8] Batch [29300] Speed: 10.71 samples/sec Train-Accuracy=0.835714
2016-09-27 08:15:51,480 Epoch[8] Batch [29350] Speed: 10.75 samples/sec Train-Accuracy=0.837143
2016-09-27 08:16:28,719 Epoch[8] Batch [29400] Speed: 10.74 samples/sec Train-Accuracy=0.845714
2016-09-27 08:17:05,946 Epoch[8] Batch [29450] Speed: 10.75 samples/sec Train-Accuracy=0.865714
2016-09-27 08:17:43,260 Epoch[8] Batch [29500] Speed: 10.72 samples/sec Train-Accuracy=0.838571
2016-09-27 08:18:20,596 Epoch[8] Batch [29550] Speed: 10.71 samples/sec Train-Accuracy=0.861429
2016-09-27 08:18:58,445 Epoch[8] Batch [29600] Speed: 10.57 samples/sec Train-Accuracy=0.847143
2016-09-27 08:19:36,085 Epoch[8] Batch [29650] Speed: 10.63 samples/sec Train-Accuracy=0.812857
2016-09-27 08:20:13,259 Epoch[8] Batch [29700] Speed: 10.76 samples/sec Train-Accuracy=0.854286
2016-09-27 08:20:52,578 Epoch[8] Batch [29750] Speed: 10.17 samples/sec Train-Accuracy=0.852857
2016-09-27 08:21:31,036 Epoch[8] Batch [29800] Speed: 10.40 samples/sec Train-Accuracy=0.852857
2016-09-27 08:22:08,534 Epoch[8] Batch [29850] Speed: 10.67 samples/sec Train-Accuracy=0.845714
2016-09-27 08:22:45,928 Epoch[8] Batch [29900] Speed: 10.70 samples/sec Train-Accuracy=0.821429
2016-09-27 08:23:23,629 Epoch[8] Batch [29950] Speed: 10.61 samples/sec Train-Accuracy=0.821429
2016-09-27 08:24:00,873 Epoch[8] Batch [30000] Speed: 10.74 samples/sec Train-Accuracy=0.848571
2016-09-27 08:24:38,408 Epoch[8] Batch [30050] Speed: 10.66 samples/sec Train-Accuracy=0.838571
2016-09-27 08:25:19,658 Epoch[8] Batch [30100] Speed: 9.70 samples/sec Train-Accuracy=0.805714
2016-09-27 08:25:56,171 Epoch[8] Batch [30150] Speed: 10.96 samples/sec Train-Accuracy=0.858571
2016-09-27 08:26:32,240 Epoch[8] Batch [30200] Speed: 11.09 samples/sec Train-Accuracy=0.834286
2016-09-27 08:27:08,277 Epoch[8] Batch [30250] Speed: 11.10 samples/sec Train-Accuracy=0.824286
2016-09-27 08:27:44,210 Epoch[8] Batch [30300] Speed: 11.13 samples/sec Train-Accuracy=0.857143
2016-09-27 08:28:20,142 Epoch[8] Batch [30350] Speed: 11.13 samples/sec Train-Accuracy=0.864286
2016-09-27 08:28:56,924 Epoch[8] Batch [30400] Speed: 10.88 samples/sec Train-Accuracy=0.818571
2016-09-27 08:29:37,779 Epoch[8] Batch [30450] Speed: 9.79 samples/sec Train-Accuracy=0.824286
2016-09-27 08:30:13,880 Epoch[8] Batch [30500] Speed: 11.08 samples/sec Train-Accuracy=0.842857
2016-09-27 08:30:50,052 Epoch[8] Batch [30550] Speed: 11.06 samples/sec Train-Accuracy=0.825714
2016-09-27 08:31:26,190 Epoch[8] Batch [30600] Speed: 11.07 samples/sec Train-Accuracy=0.828571
2016-09-27 08:32:02,275 Epoch[8] Batch [30650] Speed: 11.09 samples/sec Train-Accuracy=0.844286
2016-09-27 08:32:38,928 Epoch[8] Batch [30700] Speed: 10.91 samples/sec Train-Accuracy=0.827143
2016-09-27 08:33:15,955 Epoch[8] Batch [30750] Speed: 10.80 samples/sec Train-Accuracy=0.821429
2016-09-27 08:33:52,022 Epoch[8] Batch [30800] Speed: 11.09 samples/sec Train-Accuracy=0.852857
2016-09-27 08:34:27,950 Epoch[8] Batch [30850] Speed: 11.13 samples/sec Train-Accuracy=0.818571
2016-09-27 08:35:03,904 Epoch[8] Batch [30900] Speed: 11.13 samples/sec Train-Accuracy=0.860000
2016-09-27 08:35:39,837 Epoch[8] Batch [30950] Speed: 11.13 samples/sec Train-Accuracy=0.860000
2016-09-27 08:36:15,734 Epoch[8] Batch [31000] Speed: 11.14 samples/sec Train-Accuracy=0.858571
2016-09-27 08:36:51,813 Epoch[8] Batch [31050] Speed: 11.09 samples/sec Train-Accuracy=0.854286
2016-09-27 08:37:27,762 Epoch[8] Batch [31100] Speed: 11.13 samples/sec Train-Accuracy=0.854286
2016-09-27 08:38:03,704 Epoch[8] Batch [31150] Speed: 11.13 samples/sec Train-Accuracy=0.832857
2016-09-27 08:38:39,616 Epoch[8] Batch [31200] Speed: 11.14 samples/sec Train-Accuracy=0.834286
2016-09-27 08:39:15,603 Epoch[8] Batch [31250] Speed: 11.12 samples/sec Train-Accuracy=0.832857
2016-09-27 08:39:51,586 Epoch[8] Batch [31300] Speed: 11.12 samples/sec Train-Accuracy=0.845714
2016-09-27 08:40:27,447 Epoch[8] Batch [31350] Speed: 11.15 samples/sec Train-Accuracy=0.851429
2016-09-27 08:41:03,391 Epoch[8] Batch [31400] Speed: 11.13 samples/sec Train-Accuracy=0.862857
2016-09-27 08:41:40,003 Epoch[8] Batch [31450] Speed: 10.93 samples/sec Train-Accuracy=0.824286
2016-09-27 08:42:16,772 Epoch[8] Batch [31500] Speed: 10.88 samples/sec Train-Accuracy=0.851429
2016-09-27 08:42:54,249 Epoch[8] Batch [31550] Speed: 10.67 samples/sec Train-Accuracy=0.825714
2016-09-27 08:43:31,640 Epoch[8] Batch [31600] Speed: 10.70 samples/sec Train-Accuracy=0.834286
2016-09-27 08:44:09,108 Epoch[8] Batch [31650] Speed: 10.68 samples/sec Train-Accuracy=0.831429
2016-09-27 08:44:46,628 Epoch[8] Batch [31700] Speed: 10.66 samples/sec Train-Accuracy=0.850000
2016-09-27 08:45:24,241 Epoch[8] Batch [31750] Speed: 10.63 samples/sec Train-Accuracy=0.857143
2016-09-27 08:46:01,960 Epoch[8] Batch [31800] Speed: 10.60 samples/sec Train-Accuracy=0.877143
2016-09-27 08:46:38,401 Epoch[8] Batch [31850] Speed: 10.98 samples/sec Train-Accuracy=0.808571
2016-09-27 08:47:14,409 Epoch[8] Batch [31900] Speed: 11.11 samples/sec Train-Accuracy=0.847143
2016-09-27 08:47:50,398 Epoch[8] Batch [31950] Speed: 11.11 samples/sec Train-Accuracy=0.811429
2016-09-27 08:48:26,475 Epoch[8] Batch [32000] Speed: 11.09 samples/sec Train-Accuracy=0.835714
2016-09-27 08:49:02,612 Epoch[8] Batch [32050] Speed: 11.07 samples/sec Train-Accuracy=0.848571
2016-09-27 08:49:38,561 Epoch[8] Batch [32100] Speed: 11.13 samples/sec Train-Accuracy=0.831429
2016-09-27 08:50:14,545 Epoch[8] Batch [32150] Speed: 11.12 samples/sec Train-Accuracy=0.837143
2016-09-27 08:50:50,662 Epoch[8] Batch [32200] Speed: 11.08 samples/sec Train-Accuracy=0.838571
2016-09-27 08:51:26,648 Epoch[8] Batch [32250] Speed: 11.12 samples/sec Train-Accuracy=0.844286
2016-09-27 08:52:02,713 Epoch[8] Batch [32300] Speed: 11.09 samples/sec Train-Accuracy=0.847143
2016-09-27 08:52:38,717 Epoch[8] Batch [32350] Speed: 11.11 samples/sec Train-Accuracy=0.820000
2016-09-27 08:53:15,156 Epoch[8] Batch [32400] Speed: 10.98 samples/sec Train-Accuracy=0.822857
2016-09-27 08:53:51,496 Epoch[8] Batch [32450] Speed: 11.01 samples/sec Train-Accuracy=0.840000
2016-09-27 08:54:27,532 Epoch[8] Batch [32500] Speed: 11.10 samples/sec Train-Accuracy=0.814286
2016-09-27 08:55:03,567 Epoch[8] Batch [32550] Speed: 11.10 samples/sec Train-Accuracy=0.827143
2016-09-27 08:55:39,632 Epoch[8] Batch [32600] Speed: 11.09 samples/sec Train-Accuracy=0.842857
2016-09-27 08:56:15,648 Epoch[8] Batch [32650] Speed: 11.11 samples/sec Train-Accuracy=0.851429
2016-09-27 08:56:51,614 Epoch[8] Batch [32700] Speed: 11.12 samples/sec Train-Accuracy=0.865714
2016-09-27 08:57:27,626 Epoch[8] Batch [32750] Speed: 11.11 samples/sec Train-Accuracy=0.845714
2016-09-27 08:58:03,760 Epoch[8] Batch [32800] Speed: 11.07 samples/sec Train-Accuracy=0.852857
2016-09-27 08:58:39,932 Epoch[8] Batch [32850] Speed: 11.06 samples/sec Train-Accuracy=0.841429
2016-09-27 08:59:18,331 Epoch[8] Batch [32900] Speed: 10.42 samples/sec Train-Accuracy=0.838571
2016-09-27 08:59:59,056 Epoch[8] Batch [32950] Speed: 9.82 samples/sec Train-Accuracy=0.828571
2016-09-27 09:00:36,982 Epoch[8] Batch [33000] Speed: 10.55 samples/sec Train-Accuracy=0.835714
2016-09-27 09:01:14,902 Epoch[8] Batch [33050] Speed: 10.55 samples/sec Train-Accuracy=0.841429
2016-09-27 09:01:54,455 Epoch[8] Batch [33100] Speed: 10.11 samples/sec Train-Accuracy=0.848571
2016-09-27 09:02:33,564 Epoch[8] Batch [33150] Speed: 10.23 samples/sec Train-Accuracy=0.841429
2016-09-27 09:03:10,779 Epoch[8] Batch [33200] Speed: 10.75 samples/sec Train-Accuracy=0.854286
2016-09-27 09:03:47,987 Epoch[8] Batch [33250] Speed: 10.75 samples/sec Train-Accuracy=0.828571
2016-09-27 09:04:25,108 Epoch[8] Batch [33300] Speed: 10.78 samples/sec Train-Accuracy=0.844286
2016-09-27 09:05:02,279 Epoch[8] Batch [33350] Speed: 10.76 samples/sec Train-Accuracy=0.832857
2016-09-27 09:05:39,609 Epoch[8] Batch [33400] Speed: 10.72 samples/sec Train-Accuracy=0.855714
2016-09-27 09:06:17,179 Epoch[8] Batch [33450] Speed: 10.65 samples/sec Train-Accuracy=0.855714
2016-09-27 09:06:54,479 Epoch[8] Batch [33500] Speed: 10.72 samples/sec Train-Accuracy=0.878571
2016-09-27 09:07:31,677 Epoch[8] Batch [33550] Speed: 10.75 samples/sec Train-Accuracy=0.837143
2016-09-27 09:08:08,942 Epoch[8] Batch [33600] Speed: 10.73 samples/sec Train-Accuracy=0.852857
2016-09-27 09:08:46,186 Epoch[8] Batch [33650] Speed: 10.74 samples/sec Train-Accuracy=0.811429
2016-09-27 09:09:23,582 Epoch[8] Batch [33700] Speed: 10.70 samples/sec Train-Accuracy=0.855714
2016-09-27 09:10:02,010 Epoch[8] Batch [33750] Speed: 10.41 samples/sec Train-Accuracy=0.817143
2016-09-27 09:10:39,239 Epoch[8] Batch [33800] Speed: 10.74 samples/sec Train-Accuracy=0.867143
2016-09-27 09:11:16,922 Epoch[8] Batch [33850] Speed: 10.62 samples/sec Train-Accuracy=0.824286
2016-09-27 09:11:54,250 Epoch[8] Batch [33900] Speed: 10.72 samples/sec Train-Accuracy=0.835714
2016-09-27 09:12:32,287 Epoch[8] Batch [33950] Speed: 10.52 samples/sec Train-Accuracy=0.837143
2016-09-27 09:13:10,487 Epoch[8] Batch [34000] Speed: 10.47 samples/sec Train-Accuracy=0.821429
2016-09-27 09:13:48,273 Epoch[8] Batch [34050] Speed: 10.59 samples/sec Train-Accuracy=0.842857
2016-09-27 09:14:26,475 Epoch[8] Batch [34100] Speed: 10.47 samples/sec Train-Accuracy=0.800000
2016-09-27 09:15:04,715 Epoch[8] Batch [34150] Speed: 10.46 samples/sec Train-Accuracy=0.870000
2016-09-27 09:15:43,142 Epoch[8] Batch [34200] Speed: 10.41 samples/sec Train-Accuracy=0.830000
2016-09-27 09:16:19,404 Epoch[8] Batch [34250] Speed: 11.03 samples/sec Train-Accuracy=0.834286
2016-09-27 09:16:56,404 Epoch[8] Batch [34300] Speed: 10.81 samples/sec Train-Accuracy=0.834286
2016-09-27 09:17:32,559 Epoch[8] Batch [34350] Speed: 11.06 samples/sec Train-Accuracy=0.772857
2016-09-27 09:18:08,717 Epoch[8] Batch [34400] Speed: 11.06 samples/sec Train-Accuracy=0.848571
2016-09-27 09:18:44,906 Epoch[8] Batch [34450] Speed: 11.05 samples/sec Train-Accuracy=0.857143
2016-09-27 09:19:21,340 Epoch[8] Batch [34500] Speed: 10.98 samples/sec Train-Accuracy=0.840000
2016-09-27 09:20:00,945 Epoch[8] Batch [34550] Speed: 10.10 samples/sec Train-Accuracy=0.864286
2016-09-27 09:20:40,874 Epoch[8] Batch [34600] Speed: 10.02 samples/sec Train-Accuracy=0.872857
2016-09-27 09:21:20,458 Epoch[8] Batch [34650] Speed: 10.11 samples/sec Train-Accuracy=0.864286
2016-09-27 09:21:57,122 Epoch[8] Batch [34700] Speed: 10.91 samples/sec Train-Accuracy=0.852857
2016-09-27 09:22:33,431 Epoch[8] Batch [34750] Speed: 11.02 samples/sec Train-Accuracy=0.830000
2016-09-27 09:23:10,154 Epoch[8] Batch [34800] Speed: 10.89 samples/sec Train-Accuracy=0.862857
2016-09-27 09:23:47,267 Epoch[8] Batch [34850] Speed: 10.78 samples/sec Train-Accuracy=0.860000
2016-09-27 09:24:24,077 Epoch[8] Batch [34900] Speed: 10.87 samples/sec Train-Accuracy=0.815714
2016-09-27 09:25:00,874 Epoch[8] Batch [34950] Speed: 10.87 samples/sec Train-Accuracy=0.841429
2016-09-27 09:25:38,438 Epoch[8] Batch [35000] Speed: 10.65 samples/sec Train-Accuracy=0.821429
2016-09-27 09:26:14,730 Epoch[8] Batch [35050] Speed: 11.02 samples/sec Train-Accuracy=0.822857
2016-09-27 09:26:50,870 Epoch[8] Batch [35100] Speed: 11.07 samples/sec Train-Accuracy=0.852857
2016-09-27 09:27:27,140 Epoch[8] Batch [35150] Speed: 11.03 samples/sec Train-Accuracy=0.827143
2016-09-27 09:28:03,450 Epoch[8] Batch [35200] Speed: 11.02 samples/sec Train-Accuracy=0.845714
2016-09-27 09:28:39,775 Epoch[8] Batch [35250] Speed: 11.01 samples/sec Train-Accuracy=0.852857
2016-09-27 09:29:17,065 Epoch[8] Batch [35300] Speed: 10.73 samples/sec Train-Accuracy=0.845714
2016-09-27 09:29:53,923 Epoch[8] Batch [35350] Speed: 10.85 samples/sec Train-Accuracy=0.801429
2016-09-27 09:30:30,741 Epoch[8] Batch [35400] Speed: 10.86 samples/sec Train-Accuracy=0.831429
2016-09-27 09:31:08,045 Epoch[8] Batch [35450] Speed: 10.72 samples/sec Train-Accuracy=0.851429
2016-09-27 09:31:46,744 Epoch[8] Batch [35500] Speed: 10.34 samples/sec Train-Accuracy=0.851429
2016-09-27 09:32:23,622 Epoch[8] Batch [35550] Speed: 10.85 samples/sec Train-Accuracy=0.844286
2016-09-27 09:33:00,289 Epoch[8] Batch [35600] Speed: 10.91 samples/sec Train-Accuracy=0.850000
2016-09-27 09:33:37,663 Epoch[8] Batch [35650] Speed: 10.70 samples/sec Train-Accuracy=0.852857
2016-09-27 09:34:15,266 Epoch[8] Batch [35700] Speed: 10.64 samples/sec Train-Accuracy=0.825714
2016-09-27 09:34:52,567 Epoch[8] Batch [35750] Speed: 10.72 samples/sec Train-Accuracy=0.857143
2016-09-27 09:35:29,635 Epoch[8] Batch [35800] Speed: 10.79 samples/sec Train-Accuracy=0.810000
2016-09-27 09:36:05,939 Epoch[8] Batch [35850] Speed: 11.02 samples/sec Train-Accuracy=0.835714
2016-09-27 09:36:42,369 Epoch[8] Batch [35900] Speed: 10.98 samples/sec Train-Accuracy=0.841429
2016-09-27 09:37:18,782 Epoch[8] Batch [35950] Speed: 10.98 samples/sec Train-Accuracy=0.850000
2016-09-27 09:37:55,228 Epoch[8] Batch [36000] Speed: 10.98 samples/sec Train-Accuracy=0.837143
2016-09-27 09:38:31,610 Epoch[8] Batch [36050] Speed: 10.99 samples/sec Train-Accuracy=0.864286
2016-09-27 09:39:07,977 Epoch[8] Batch [36100] Speed: 11.00 samples/sec Train-Accuracy=0.864286
2016-09-27 09:39:46,547 Epoch[8] Batch [36150] Speed: 10.37 samples/sec Train-Accuracy=0.850000
2016-09-27 09:40:24,684 Epoch[8] Batch [36200] Speed: 10.49 samples/sec Train-Accuracy=0.857143
2016-09-27 09:41:02,935 Epoch[8] Batch [36250] Speed: 10.46 samples/sec Train-Accuracy=0.842857
2016-09-27 09:41:42,908 Epoch[8] Batch [36300] Speed: 10.01 samples/sec Train-Accuracy=0.831429
2016-09-27 09:42:21,778 Epoch[8] Batch [36350] Speed: 10.29 samples/sec Train-Accuracy=0.860000
2016-09-27 09:43:00,637 Epoch[8] Batch [36400] Speed: 10.29 samples/sec Train-Accuracy=0.845714
2016-09-27 09:43:39,492 Epoch[8] Batch [36450] Speed: 10.29 samples/sec Train-Accuracy=0.834286
2016-09-27 09:44:16,383 Epoch[8] Batch [36500] Speed: 10.84 samples/sec Train-Accuracy=0.857143
2016-09-27 09:44:53,220 Epoch[8] Batch [36550] Speed: 10.86 samples/sec Train-Accuracy=0.817143
2016-09-27 09:45:29,312 Epoch[8] Batch [36600] Speed: 11.08 samples/sec Train-Accuracy=0.842857
2016-09-27 09:46:05,385 Epoch[8] Batch [36650] Speed: 11.09 samples/sec Train-Accuracy=0.855714
2016-09-27 09:46:41,450 Epoch[8] Batch [36700] Speed: 11.09 samples/sec Train-Accuracy=0.857143
2016-09-27 09:47:17,467 Epoch[8] Batch [36750] Speed: 11.11 samples/sec Train-Accuracy=0.827143
2016-09-27 09:47:53,534 Epoch[8] Batch [36800] Speed: 11.09 samples/sec Train-Accuracy=0.851429
2016-09-27 09:48:29,499 Epoch[8] Batch [36850] Speed: 11.12 samples/sec Train-Accuracy=0.841429
2016-09-27 09:49:05,596 Epoch[8] Batch [36900] Speed: 11.08 samples/sec Train-Accuracy=0.834286
2016-09-27 09:49:41,716 Epoch[8] Batch [36950] Speed: 11.07 samples/sec Train-Accuracy=0.835714
2016-09-27 09:50:19,319 Epoch[8] Batch [37000] Speed: 10.64 samples/sec Train-Accuracy=0.835714
2016-09-27 09:50:56,730 Epoch[8] Batch [37050] Speed: 10.69 samples/sec Train-Accuracy=0.875714
2016-09-27 09:51:35,452 Epoch[8] Batch [37100] Speed: 10.33 samples/sec Train-Accuracy=0.812857
2016-09-27 09:52:16,192 Epoch[8] Batch [37150] Speed: 9.82 samples/sec Train-Accuracy=0.821429
2016-09-27 09:52:53,735 Epoch[8] Batch [37200] Speed: 10.65 samples/sec Train-Accuracy=0.857143
2016-09-27 09:53:29,925 Epoch[8] Batch [37250] Speed: 11.05 samples/sec Train-Accuracy=0.835714
2016-09-27 09:54:06,029 Epoch[8] Batch [37300] Speed: 11.08 samples/sec Train-Accuracy=0.860000
2016-09-27 09:54:42,138 Epoch[8] Batch [37350] Speed: 11.08 samples/sec Train-Accuracy=0.850000
2016-09-27 09:55:18,324 Epoch[8] Batch [37400] Speed: 11.05 samples/sec Train-Accuracy=0.868571
2016-09-27 09:55:54,521 Epoch[8] Batch [37450] Speed: 11.05 samples/sec Train-Accuracy=0.847143
2016-09-27 09:56:30,647 Epoch[8] Batch [37500] Speed: 11.07 samples/sec Train-Accuracy=0.835714
2016-09-27 09:57:06,654 Epoch[8] Batch [37550] Speed: 11.11 samples/sec Train-Accuracy=0.828571
2016-09-27 09:57:42,610 Epoch[8] Batch [37600] Speed: 11.12 samples/sec Train-Accuracy=0.850000
2016-09-27 09:58:18,632 Epoch[8] Batch [37650] Speed: 11.10 samples/sec Train-Accuracy=0.804286
2016-09-27 09:58:55,053 Epoch[8] Batch [37700] Speed: 10.98 samples/sec Train-Accuracy=0.868571
2016-09-27 09:59:31,530 Epoch[8] Batch [37750] Speed: 10.97 samples/sec Train-Accuracy=0.855714
2016-09-27 10:00:07,563 Epoch[8] Batch [37800] Speed: 11.10 samples/sec Train-Accuracy=0.852857
2016-09-27 10:00:44,792 Epoch[8] Batch [37850] Speed: 10.74 samples/sec Train-Accuracy=0.874286
2016-09-27 10:01:22,929 Epoch[8] Batch [37900] Speed: 10.49 samples/sec Train-Accuracy=0.852857
2016-09-27 10:01:59,361 Epoch[8] Batch [37950] Speed: 10.98 samples/sec Train-Accuracy=0.828571
2016-09-27 10:02:35,442 Epoch[8] Batch [38000] Speed: 11.09 samples/sec Train-Accuracy=0.864286
2016-09-27 10:03:16,056 Epoch[8] Batch [38050] Speed: 9.85 samples/sec Train-Accuracy=0.850000
2016-09-27 10:03:53,728 Epoch[8] Batch [38100] Speed: 10.62 samples/sec Train-Accuracy=0.844286
2016-09-27 10:04:31,436 Epoch[8] Batch [38150] Speed: 10.61 samples/sec Train-Accuracy=0.825714
2016-09-27 10:05:08,620 Epoch[8] Batch [38200] Speed: 10.76 samples/sec Train-Accuracy=0.811429
2016-09-27 10:05:45,996 Epoch[8] Batch [38250] Speed: 10.70 samples/sec Train-Accuracy=0.847143
2016-09-27 10:06:23,333 Epoch[8] Batch [38300] Speed: 10.71 samples/sec Train-Accuracy=0.852857
2016-09-27 10:07:00,676 Epoch[8] Batch [38350] Speed: 10.71 samples/sec Train-Accuracy=0.891429
2016-09-27 10:07:38,005 Epoch[8] Batch [38400] Speed: 10.72 samples/sec Train-Accuracy=0.864286
2016-09-27 10:08:15,259 Epoch[8] Batch [38450] Speed: 10.74 samples/sec Train-Accuracy=0.811429
2016-09-27 10:08:52,540 Epoch[8] Batch [38500] Speed: 10.73 samples/sec Train-Accuracy=0.842857
2016-09-27 10:09:29,946 Epoch[8] Batch [38550] Speed: 10.69 samples/sec Train-Accuracy=0.840000
2016-09-27 10:10:07,241 Epoch[8] Batch [38600] Speed: 10.73 samples/sec Train-Accuracy=0.828571
2016-09-27 10:10:44,425 Epoch[8] Batch [38650] Speed: 10.76 samples/sec Train-Accuracy=0.805714
2016-09-27 10:11:21,649 Epoch[8] Batch [38700] Speed: 10.75 samples/sec Train-Accuracy=0.850000
2016-09-27 10:11:58,919 Epoch[8] Batch [38750] Speed: 10.73 samples/sec Train-Accuracy=0.825714
2016-09-27 10:12:36,289 Epoch[8] Batch [38800] Speed: 10.70 samples/sec Train-Accuracy=0.792857
2016-09-27 10:13:13,670 Epoch[8] Batch [38850] Speed: 10.70 samples/sec Train-Accuracy=0.854286
2016-09-27 10:13:50,919 Epoch[8] Batch [38900] Speed: 10.74 samples/sec Train-Accuracy=0.825714
2016-09-27 10:14:28,245 Epoch[8] Batch [38950] Speed: 10.72 samples/sec Train-Accuracy=0.824286
2016-09-27 10:15:06,076 Epoch[8] Batch [39000] Speed: 10.57 samples/sec Train-Accuracy=0.848571
2016-09-27 10:15:43,262 Epoch[8] Batch [39050] Speed: 10.76 samples/sec Train-Accuracy=0.842857
2016-09-27 10:16:20,548 Epoch[8] Batch [39100] Speed: 10.73 samples/sec Train-Accuracy=0.830000
2016-09-27 10:16:57,947 Epoch[8] Batch [39150] Speed: 10.70 samples/sec Train-Accuracy=0.857143
2016-09-27 10:17:35,207 Epoch[8] Batch [39200] Speed: 10.74 samples/sec Train-Accuracy=0.822857
2016-09-27 10:18:13,001 Epoch[8] Batch [39250] Speed: 10.58 samples/sec Train-Accuracy=0.841429
2016-09-27 10:18:53,663 Epoch[8] Batch [39300] Speed: 9.84 samples/sec Train-Accuracy=0.837143
2016-09-27 10:19:31,008 Epoch[8] Batch [39350] Speed: 10.71 samples/sec Train-Accuracy=0.841429
2016-09-27 10:20:07,656 Epoch[8] Batch [39400] Speed: 10.91 samples/sec Train-Accuracy=0.815714
2016-09-27 10:20:43,637 Epoch[8] Batch [39450] Speed: 11.12 samples/sec Train-Accuracy=0.871429
2016-09-27 10:21:19,848 Epoch[8] Batch [39500] Speed: 11.05 samples/sec Train-Accuracy=0.811429
2016-09-27 10:21:55,927 Epoch[8] Batch [39550] Speed: 11.09 samples/sec Train-Accuracy=0.855714
2016-09-27 10:22:33,884 Epoch[8] Batch [39600] Speed: 10.54 samples/sec Train-Accuracy=0.811429
2016-09-27 10:23:10,050 Epoch[8] Batch [39650] Speed: 11.06 samples/sec Train-Accuracy=0.828571
2016-09-27 10:23:46,054 Epoch[8] Batch [39700] Speed: 11.11 samples/sec Train-Accuracy=0.825714
2016-09-27 10:24:22,221 Epoch[8] Batch [39750] Speed: 11.06 samples/sec Train-Accuracy=0.840000
2016-09-27 10:24:58,271 Epoch[8] Batch [39800] Speed: 11.10 samples/sec Train-Accuracy=0.827143
2016-09-27 10:25:34,424 Epoch[8] Batch [39850] Speed: 11.06 samples/sec Train-Accuracy=0.854286
2016-09-27 10:26:10,337 Epoch[8] Batch [39900] Speed: 11.14 samples/sec Train-Accuracy=0.822857
2016-09-27 10:26:46,313 Epoch[8] Batch [39950] Speed: 11.12 samples/sec Train-Accuracy=0.822857
2016-09-27 10:27:22,648 Epoch[8] Batch [40000] Speed: 11.01 samples/sec Train-Accuracy=0.817143
2016-09-27 10:27:59,901 Epoch[8] Batch [40050] Speed: 10.74 samples/sec Train-Accuracy=0.857143
2016-09-27 10:28:36,356 Epoch[8] Batch [40100] Speed: 10.97 samples/sec Train-Accuracy=0.860000
2016-09-27 10:29:13,748 Epoch[8] Batch [40150] Speed: 10.70 samples/sec Train-Accuracy=0.825714
2016-09-27 10:29:51,220 Epoch[8] Batch [40200] Speed: 10.67 samples/sec Train-Accuracy=0.838571
2016-09-27 10:30:28,561 Epoch[8] Batch [40250] Speed: 10.71 samples/sec Train-Accuracy=0.840000
2016-09-27 10:31:04,941 Epoch[8] Batch [40300] Speed: 11.00 samples/sec Train-Accuracy=0.844286
2016-09-27 10:31:42,099 Epoch[8] Batch [40350] Speed: 10.77 samples/sec Train-Accuracy=0.851429
2016-09-27 10:32:19,053 Epoch[8] Batch [40400] Speed: 10.82 samples/sec Train-Accuracy=0.835714
2016-09-27 10:32:56,158 Epoch[8] Batch [40450] Speed: 10.78 samples/sec Train-Accuracy=0.841429
2016-09-27 10:33:33,433 Epoch[8] Batch [40500] Speed: 10.73 samples/sec Train-Accuracy=0.840000
2016-09-27 10:34:10,888 Epoch[8] Batch [40550] Speed: 10.68 samples/sec Train-Accuracy=0.835714
2016-09-27 10:34:47,770 Epoch[8] Batch [40600] Speed: 10.85 samples/sec Train-Accuracy=0.865714
2016-09-27 10:35:24,489 Epoch[8] Batch [40650] Speed: 10.89 samples/sec Train-Accuracy=0.851429
2016-09-27 10:36:02,080 Epoch[8] Batch [40700] Speed: 10.64 samples/sec Train-Accuracy=0.805714
2016-09-27 10:36:39,610 Epoch[8] Batch [40750] Speed: 10.66 samples/sec Train-Accuracy=0.832857
2016-09-27 10:37:17,103 Epoch[8] Batch [40800] Speed: 10.67 samples/sec Train-Accuracy=0.881429
2016-09-27 10:37:54,481 Epoch[8] Batch [40850] Speed: 10.70 samples/sec Train-Accuracy=0.811429
2016-09-27 10:38:30,476 Epoch[8] Batch [40900] Speed: 11.11 samples/sec Train-Accuracy=0.857143
2016-09-27 10:39:08,728 Epoch[8] Batch [40950] Speed: 10.46 samples/sec Train-Accuracy=0.858571
2016-09-27 10:39:46,008 Epoch[8] Batch [41000] Speed: 10.73 samples/sec Train-Accuracy=0.835714
2016-09-27 10:40:23,410 Epoch[8] Batch [41050] Speed: 10.69 samples/sec Train-Accuracy=0.858571
2016-09-27 10:41:01,154 Epoch[8] Batch [41100] Speed: 10.60 samples/sec Train-Accuracy=0.834286
2016-09-27 10:41:38,508 Epoch[8] Batch [41150] Speed: 10.71 samples/sec Train-Accuracy=0.861429
2016-09-27 10:42:15,815 Epoch[8] Batch [41200] Speed: 10.72 samples/sec Train-Accuracy=0.824286
2016-09-27 10:42:53,143 Epoch[8] Batch [41250] Speed: 10.72 samples/sec Train-Accuracy=0.837143
2016-09-27 10:43:30,650 Epoch[8] Batch [41300] Speed: 10.66 samples/sec Train-Accuracy=0.852857
2016-09-27 10:44:08,965 Epoch[8] Batch [41350] Speed: 10.44 samples/sec Train-Accuracy=0.842857
2016-09-27 10:44:48,199 Epoch[8] Batch [41400] Speed: 10.20 samples/sec Train-Accuracy=0.844286
2016-09-27 10:45:25,286 Epoch[8] Batch [41450] Speed: 10.79 samples/sec Train-Accuracy=0.838571
2016-09-27 10:46:02,016 Epoch[8] Batch [41500] Speed: 10.89 samples/sec Train-Accuracy=0.830000
2016-09-27 10:46:39,216 Epoch[8] Batch [41550] Speed: 10.75 samples/sec Train-Accuracy=0.872857
2016-09-27 10:47:16,391 Epoch[8] Batch [41600] Speed: 10.76 samples/sec Train-Accuracy=0.848571
2016-09-27 10:47:53,656 Epoch[8] Batch [41650] Speed: 10.73 samples/sec Train-Accuracy=0.841429
2016-09-27 10:48:30,912 Epoch[8] Batch [41700] Speed: 10.74 samples/sec Train-Accuracy=0.852857
2016-09-27 10:49:08,049 Epoch[8] Batch [41750] Speed: 10.77 samples/sec Train-Accuracy=0.847143
2016-09-27 10:49:43,835 Epoch[8] Batch [41800] Speed: 11.18 samples/sec Train-Accuracy=0.825714
2016-09-27 10:50:19,681 Epoch[8] Batch [41850] Speed: 11.16 samples/sec Train-Accuracy=0.830000
2016-09-27 10:50:57,043 Epoch[8] Batch [41900] Speed: 10.71 samples/sec Train-Accuracy=0.835714
2016-09-27 10:51:39,654 Epoch[8] Batch [41950] Speed: 9.39 samples/sec Train-Accuracy=0.854286
2016-09-27 10:52:21,786 Epoch[8] Batch [42000] Speed: 9.49 samples/sec Train-Accuracy=0.865714
2016-09-27 10:52:59,790 Epoch[8] Batch [42050] Speed: 10.53 samples/sec Train-Accuracy=0.862857
2016-09-27 10:53:36,067 Epoch[8] Batch [42100] Speed: 11.03 samples/sec Train-Accuracy=0.850000
2016-09-27 10:54:12,970 Epoch[8] Batch [42150] Speed: 10.84 samples/sec Train-Accuracy=0.832857
2016-09-27 10:54:49,336 Epoch[8] Batch [42200] Speed: 11.00 samples/sec Train-Accuracy=0.830000
2016-09-27 10:55:25,477 Epoch[8] Batch [42250] Speed: 11.07 samples/sec Train-Accuracy=0.820000
2016-09-27 10:56:01,649 Epoch[8] Batch [42300] Speed: 11.06 samples/sec Train-Accuracy=0.854286
2016-09-27 10:56:39,119 Epoch[8] Batch [42350] Speed: 10.68 samples/sec Train-Accuracy=0.818571
2016-09-27 10:57:15,099 Epoch[8] Batch [42400] Speed: 11.12 samples/sec Train-Accuracy=0.817143
2016-09-27 10:57:56,204 Epoch[8] Batch [42450] Speed: 9.73 samples/sec Train-Accuracy=0.850000
2016-09-27 10:58:34,423 Epoch[8] Batch [42500] Speed: 10.47 samples/sec Train-Accuracy=0.857143
2016-09-27 10:59:12,135 Epoch[8] Batch [42550] Speed: 10.61 samples/sec Train-Accuracy=0.840000
2016-09-27 10:59:49,538 Epoch[8] Batch [42600] Speed: 10.69 samples/sec Train-Accuracy=0.848571
2016-09-27 11:00:27,687 Epoch[8] Batch [42650] Speed: 10.49 samples/sec Train-Accuracy=0.844286
2016-09-27 11:01:05,128 Epoch[8] Batch [42700] Speed: 10.68 samples/sec Train-Accuracy=0.837143
2016-09-27 11:01:42,526 Epoch[8] Batch [42750] Speed: 10.70 samples/sec Train-Accuracy=0.862857
2016-09-27 11:02:19,868 Epoch[8] Batch [42800] Speed: 10.71 samples/sec Train-Accuracy=0.864286
2016-09-27 11:02:57,254 Epoch[8] Batch [42850] Speed: 10.70 samples/sec Train-Accuracy=0.807143
2016-09-27 11:03:34,794 Epoch[8] Batch [42900] Speed: 10.66 samples/sec Train-Accuracy=0.845714
2016-09-27 11:04:12,247 Epoch[8] Batch [42950] Speed: 10.68 samples/sec Train-Accuracy=0.838571
2016-09-27 11:04:49,592 Epoch[8] Batch [43000] Speed: 10.71 samples/sec Train-Accuracy=0.824286
2016-09-27 11:05:26,959 Epoch[8] Batch [43050] Speed: 10.70 samples/sec Train-Accuracy=0.821429
2016-09-27 11:06:04,327 Epoch[8] Batch [43100] Speed: 10.70 samples/sec Train-Accuracy=0.851429
2016-09-27 11:06:41,724 Epoch[8] Batch [43150] Speed: 10.70 samples/sec Train-Accuracy=0.845714
2016-09-27 11:07:19,168 Epoch[8] Batch [43200] Speed: 10.68 samples/sec Train-Accuracy=0.840000
2016-09-27 11:07:56,533 Epoch[8] Batch [43250] Speed: 10.71 samples/sec Train-Accuracy=0.845714
2016-09-27 11:08:33,950 Epoch[8] Batch [43300] Speed: 10.69 samples/sec Train-Accuracy=0.828571
2016-09-27 11:09:11,530 Epoch[8] Batch [43350] Speed: 10.64 samples/sec Train-Accuracy=0.837143
2016-09-27 11:09:50,418 Epoch[8] Batch [43400] Speed: 10.29 samples/sec Train-Accuracy=0.838571
2016-09-27 11:10:30,560 Epoch[8] Batch [43450] Speed: 9.96 samples/sec Train-Accuracy=0.847143
2016-09-27 11:11:08,152 Epoch[8] Batch [43500] Speed: 10.64 samples/sec Train-Accuracy=0.835714
2016-09-27 11:11:45,397 Epoch[8] Batch [43550] Speed: 10.74 samples/sec Train-Accuracy=0.835714
2016-09-27 11:12:24,187 Epoch[8] Batch [43600] Speed: 10.31 samples/sec Train-Accuracy=0.822857
2016-09-27 11:13:01,460 Epoch[8] Batch [43650] Speed: 10.73 samples/sec Train-Accuracy=0.810000
2016-09-27 11:13:42,676 Epoch[8] Batch [43700] Speed: 9.71 samples/sec Train-Accuracy=0.840000
2016-09-27 11:14:18,851 Epoch[8] Batch [43750] Speed: 11.06 samples/sec Train-Accuracy=0.835714
2016-09-27 11:14:54,801 Epoch[8] Batch [43800] Speed: 11.13 samples/sec Train-Accuracy=0.838571
2016-09-27 11:15:30,631 Epoch[8] Batch [43850] Speed: 11.16 samples/sec Train-Accuracy=0.835714
2016-09-27 11:16:06,493 Epoch[8] Batch [43900] Speed: 11.15 samples/sec Train-Accuracy=0.864286
2016-09-27 11:16:42,396 Epoch[8] Batch [43950] Speed: 11.14 samples/sec Train-Accuracy=0.814286
2016-09-27 11:17:18,435 Epoch[8] Batch [44000] Speed: 11.10 samples/sec Train-Accuracy=0.818571
2016-09-27 11:17:54,719 Epoch[8] Batch [44050] Speed: 11.02 samples/sec Train-Accuracy=0.825714
2016-09-27 11:18:36,726 Epoch[8] Batch [44100] Speed: 9.52 samples/sec Train-Accuracy=0.837143
2016-09-27 11:19:16,747 Epoch[8] Batch [44150] Speed: 10.00 samples/sec Train-Accuracy=0.824286
2016-09-27 11:19:54,814 Epoch[8] Batch [44200] Speed: 10.51 samples/sec Train-Accuracy=0.827143
2016-09-27 11:20:32,305 Epoch[8] Batch [44250] Speed: 10.67 samples/sec Train-Accuracy=0.868571
2016-09-27 11:21:09,738 Epoch[8] Batch [44300] Speed: 10.69 samples/sec Train-Accuracy=0.838571
2016-09-27 11:21:47,170 Epoch[8] Batch [44350] Speed: 10.69 samples/sec Train-Accuracy=0.851429
2016-09-27 11:22:24,830 Epoch[8] Batch [44400] Speed: 10.62 samples/sec Train-Accuracy=0.864286
2016-09-27 11:23:02,624 Epoch[8] Batch [44450] Speed: 10.58 samples/sec Train-Accuracy=0.845714
2016-09-27 11:23:40,728 Epoch[8] Batch [44500] Speed: 10.50 samples/sec Train-Accuracy=0.878571
2016-09-27 11:24:18,774 Epoch[8] Batch [44550] Speed: 10.51 samples/sec Train-Accuracy=0.802857
2016-09-27 11:24:56,638 Epoch[8] Batch [44600] Speed: 10.56 samples/sec Train-Accuracy=0.821429
2016-09-27 11:25:34,322 Epoch[8] Batch [44650] Speed: 10.61 samples/sec Train-Accuracy=0.821429
2016-09-27 11:26:10,753 Epoch[8] Batch [44700] Speed: 10.98 samples/sec Train-Accuracy=0.832857
2016-09-27 11:26:47,146 Epoch[8] Batch [44750] Speed: 10.99 samples/sec Train-Accuracy=0.848571
2016-09-27 11:27:23,355 Epoch[8] Batch [44800] Speed: 11.05 samples/sec Train-Accuracy=0.822857
2016-09-27 11:27:59,635 Epoch[8] Batch [44850] Speed: 11.03 samples/sec Train-Accuracy=0.842857
2016-09-27 11:28:35,981 Epoch[8] Batch [44900] Speed: 11.01 samples/sec Train-Accuracy=0.828571
2016-09-27 11:29:12,452 Epoch[8] Batch [44950] Speed: 10.97 samples/sec Train-Accuracy=0.848571
2016-09-27 11:29:48,750 Epoch[8] Batch [45000] Speed: 11.02 samples/sec Train-Accuracy=0.818571
2016-09-27 11:30:24,991 Epoch[8] Batch [45050] Speed: 11.04 samples/sec Train-Accuracy=0.845714
2016-09-27 11:31:01,375 Epoch[8] Batch [45100] Speed: 10.99 samples/sec Train-Accuracy=0.842857
2016-09-27 11:31:37,660 Epoch[8] Batch [45150] Speed: 11.02 samples/sec Train-Accuracy=0.844286
2016-09-27 11:32:13,870 Epoch[8] Batch [45200] Speed: 11.05 samples/sec Train-Accuracy=0.838571
2016-09-27 11:32:50,170 Epoch[8] Batch [45250] Speed: 11.02 samples/sec Train-Accuracy=0.808571
2016-09-27 11:33:26,509 Epoch[8] Batch [45300] Speed: 11.01 samples/sec Train-Accuracy=0.862857
2016-09-27 11:34:02,858 Epoch[8] Batch [45350] Speed: 11.00 samples/sec Train-Accuracy=0.861429
2016-09-27 11:34:39,436 Epoch[8] Batch [45400] Speed: 10.94 samples/sec Train-Accuracy=0.831429
2016-09-27 11:35:15,874 Epoch[8] Batch [45450] Speed: 10.98 samples/sec Train-Accuracy=0.834286
2016-09-27 11:35:52,249 Epoch[8] Batch [45500] Speed: 11.00 samples/sec Train-Accuracy=0.840000
2016-09-27 11:36:28,657 Epoch[8] Batch [45550] Speed: 10.99 samples/sec Train-Accuracy=0.844286
2016-09-27 11:37:04,954 Epoch[8] Batch [45600] Speed: 11.02 samples/sec Train-Accuracy=0.837143
2016-09-27 11:37:41,280 Epoch[8] Batch [45650] Speed: 11.01 samples/sec Train-Accuracy=0.862857
2016-09-27 11:38:17,628 Epoch[8] Batch [45700] Speed: 11.01 samples/sec Train-Accuracy=0.827143
2016-09-27 11:38:54,023 Epoch[8] Batch [45750] Speed: 10.99 samples/sec Train-Accuracy=0.842857
2016-09-27 11:39:30,414 Epoch[8] Batch [45800] Speed: 10.99 samples/sec Train-Accuracy=0.842857
2016-09-27 11:40:10,149 Epoch[8] Batch [45850] Speed: 10.07 samples/sec Train-Accuracy=0.857143
2016-09-27 11:40:49,388 Epoch[8] Batch [45900] Speed: 10.19 samples/sec Train-Accuracy=0.854286
2016-09-27 11:41:28,549 Epoch[8] Batch [45950] Speed: 10.21 samples/sec Train-Accuracy=0.834286
2016-09-27 11:42:06,591 Epoch[8] Batch [46000] Speed: 10.51 samples/sec Train-Accuracy=0.860000
2016-09-27 11:42:42,690 Epoch[8] Batch [46050] Speed: 11.08 samples/sec Train-Accuracy=0.825714
2016-09-27 11:43:18,865 Epoch[8] Batch [46100] Speed: 11.06 samples/sec Train-Accuracy=0.848571
2016-09-27 11:43:54,959 Epoch[8] Batch [46150] Speed: 11.08 samples/sec Train-Accuracy=0.862857
2016-09-27 11:44:35,269 Epoch[8] Batch [46200] Speed: 9.92 samples/sec Train-Accuracy=0.867143
2016-09-27 11:45:13,521 Epoch[8] Batch [46250] Speed: 10.46 samples/sec Train-Accuracy=0.844286
2016-09-27 11:45:52,130 Epoch[8] Batch [46300] Speed: 10.36 samples/sec Train-Accuracy=0.824286
2016-09-27 11:46:31,066 Epoch[8] Batch [46350] Speed: 10.27 samples/sec Train-Accuracy=0.821429
2016-09-27 11:47:07,807 Epoch[8] Batch [46400] Speed: 10.89 samples/sec Train-Accuracy=0.855714
2016-09-27 11:47:44,281 Epoch[8] Batch [46450] Speed: 10.97 samples/sec Train-Accuracy=0.824286
2016-09-27 11:48:22,388 Epoch[8] Batch [46500] Speed: 10.50 samples/sec Train-Accuracy=0.841429
2016-09-27 11:48:59,048 Epoch[8] Batch [46550] Speed: 10.91 samples/sec Train-Accuracy=0.841429
2016-09-27 11:49:35,527 Epoch[8] Batch [46600] Speed: 10.97 samples/sec Train-Accuracy=0.882857
2016-09-27 11:50:11,908 Epoch[8] Batch [46650] Speed: 10.99 samples/sec Train-Accuracy=0.827143
2016-09-27 11:50:48,289 Epoch[8] Batch [46700] Speed: 10.99 samples/sec Train-Accuracy=0.848571
2016-09-27 11:51:27,872 Epoch[8] Batch [46750] Speed: 10.11 samples/sec Train-Accuracy=0.855714
2016-09-27 11:52:07,257 Epoch[8] Batch [46800] Speed: 10.16 samples/sec Train-Accuracy=0.847143
2016-09-27 11:52:47,178 Epoch[8] Batch [46850] Speed: 10.02 samples/sec Train-Accuracy=0.864286
2016-09-27 11:53:26,821 Epoch[8] Batch [46900] Speed: 10.09 samples/sec Train-Accuracy=0.854286
2016-09-27 11:54:07,236 Epoch[8] Batch [46950] Speed: 9.90 samples/sec Train-Accuracy=0.851429
2016-09-27 11:54:47,921 Epoch[8] Batch [47000] Speed: 9.83 samples/sec Train-Accuracy=0.855714
2016-09-27 11:55:26,180 Epoch[8] Batch [47050] Speed: 10.46 samples/sec Train-Accuracy=0.840000
2016-09-27 11:56:03,652 Epoch[8] Batch [47100] Speed: 10.67 samples/sec Train-Accuracy=0.858571
2016-09-27 11:56:40,430 Epoch[8] Batch [47150] Speed: 10.88 samples/sec Train-Accuracy=0.865714
2016-09-27 11:57:18,218 Epoch[8] Batch [47200] Speed: 10.59 samples/sec Train-Accuracy=0.837143
2016-09-27 11:57:57,162 Epoch[8] Batch [47250] Speed: 10.27 samples/sec Train-Accuracy=0.858571
2016-09-27 11:58:34,622 Epoch[8] Batch [47300] Speed: 10.68 samples/sec Train-Accuracy=0.845714
2016-09-27 11:59:14,415 Epoch[8] Batch [47350] Speed: 10.05 samples/sec Train-Accuracy=0.838571
2016-09-27 11:59:52,003 Epoch[8] Batch [47400] Speed: 10.64 samples/sec Train-Accuracy=0.861429
2016-09-27 12:00:29,427 Epoch[8] Batch [47450] Speed: 10.69 samples/sec Train-Accuracy=0.844286
2016-09-27 12:01:06,650 Epoch[8] Batch [47500] Speed: 10.75 samples/sec Train-Accuracy=0.832857
2016-09-27 12:01:43,782 Epoch[8] Batch [47550] Speed: 10.77 samples/sec Train-Accuracy=0.851429
2016-09-27 12:02:21,116 Epoch[8] Batch [47600] Speed: 10.71 samples/sec Train-Accuracy=0.827143
2016-09-27 12:02:58,370 Epoch[8] Batch [47650] Speed: 10.74 samples/sec Train-Accuracy=0.854286
2016-09-27 12:03:35,926 Epoch[8] Batch [47700] Speed: 10.65 samples/sec Train-Accuracy=0.841429
2016-09-27 12:04:13,411 Epoch[8] Batch [47750] Speed: 10.67 samples/sec Train-Accuracy=0.848571
2016-09-27 12:04:50,922 Epoch[8] Batch [47800] Speed: 10.66 samples/sec Train-Accuracy=0.847143
2016-09-27 12:05:28,357 Epoch[8] Batch [47850] Speed: 10.69 samples/sec Train-Accuracy=0.840000
2016-09-27 12:06:05,866 Epoch[8] Batch [47900] Speed: 10.66 samples/sec Train-Accuracy=0.845714
2016-09-27 12:06:43,481 Epoch[8] Batch [47950] Speed: 10.63 samples/sec Train-Accuracy=0.852857
2016-09-27 12:07:21,348 Epoch[8] Batch [48000] Speed: 10.56 samples/sec Train-Accuracy=0.855714
2016-09-27 12:07:59,362 Epoch[8] Batch [48050] Speed: 10.52 samples/sec Train-Accuracy=0.830000
2016-09-27 12:08:37,421 Epoch[8] Batch [48100] Speed: 10.51 samples/sec Train-Accuracy=0.842857
2016-09-27 12:09:14,915 Epoch[8] Batch [48150] Speed: 10.67 samples/sec Train-Accuracy=0.871429
2016-09-27 12:09:52,174 Epoch[8] Batch [48200] Speed: 10.74 samples/sec Train-Accuracy=0.850000
2016-09-27 12:10:29,610 Epoch[8] Batch [48250] Speed: 10.68 samples/sec Train-Accuracy=0.814286
2016-09-27 12:11:07,265 Epoch[8] Batch [48300] Speed: 10.62 samples/sec Train-Accuracy=0.857143
2016-09-27 12:11:45,638 Epoch[8] Batch [48350] Speed: 10.42 samples/sec Train-Accuracy=0.835714
2016-09-27 12:12:23,458 Epoch[8] Batch [48400] Speed: 10.58 samples/sec Train-Accuracy=0.851429
2016-09-27 12:13:00,889 Epoch[8] Batch [48450] Speed: 10.69 samples/sec Train-Accuracy=0.847143
2016-09-27 12:13:38,441 Epoch[8] Batch [48500] Speed: 10.65 samples/sec Train-Accuracy=0.824286
2016-09-27 12:14:15,344 Epoch[8] Batch [48550] Speed: 10.84 samples/sec Train-Accuracy=0.814286
2016-09-27 12:14:52,180 Epoch[8] Batch [48600] Speed: 10.86 samples/sec Train-Accuracy=0.848571
2016-09-27 12:15:29,924 Epoch[8] Batch [48650] Speed: 10.60 samples/sec Train-Accuracy=0.854286
2016-09-27 12:16:07,623 Epoch[8] Batch [48700] Speed: 10.61 samples/sec Train-Accuracy=0.848571
2016-09-27 12:16:45,218 Epoch[8] Batch [48750] Speed: 10.64 samples/sec Train-Accuracy=0.848571
2016-09-27 12:17:22,699 Epoch[8] Batch [48800] Speed: 10.67 samples/sec Train-Accuracy=0.825714
2016-09-27 12:17:59,309 Epoch[8] Batch [48850] Speed: 10.93 samples/sec Train-Accuracy=0.862857
2016-09-27 12:18:35,404 Epoch[8] Batch [48900] Speed: 11.08 samples/sec Train-Accuracy=0.840000
2016-09-27 12:19:11,652 Epoch[8] Batch [48950] Speed: 11.04 samples/sec Train-Accuracy=0.857143
2016-09-27 12:19:53,411 Epoch[8] Batch [49000] Speed: 9.58 samples/sec Train-Accuracy=0.877143
2016-09-27 12:20:34,459 Epoch[8] Batch [49050] Speed: 9.74 samples/sec Train-Accuracy=0.830000
2016-09-27 12:21:15,989 Epoch[8] Batch [49100] Speed: 9.63 samples/sec Train-Accuracy=0.845714
2016-09-27 12:21:56,872 Epoch[8] Batch [49150] Speed: 9.78 samples/sec Train-Accuracy=0.847143
2016-09-27 12:22:36,480 Epoch[8] Batch [49200] Speed: 10.10 samples/sec Train-Accuracy=0.854286
2016-09-27 12:23:13,112 Epoch[8] Batch [49250] Speed: 10.92 samples/sec Train-Accuracy=0.861429
2016-09-27 12:23:49,306 Epoch[8] Batch [49300] Speed: 11.05 samples/sec Train-Accuracy=0.868571
2016-09-27 12:24:25,533 Epoch[8] Batch [49350] Speed: 11.04 samples/sec Train-Accuracy=0.842857
2016-09-27 12:25:01,739 Epoch[8] Batch [49400] Speed: 11.05 samples/sec Train-Accuracy=0.860000
2016-09-27 12:25:38,122 Epoch[8] Batch [49450] Speed: 10.99 samples/sec Train-Accuracy=0.844286
2016-09-27 12:26:14,410 Epoch[8] Batch [49500] Speed: 11.02 samples/sec Train-Accuracy=0.837143
2016-09-27 12:26:50,584 Epoch[8] Batch [49550] Speed: 11.06 samples/sec Train-Accuracy=0.830000
2016-09-27 12:27:27,122 Epoch[8] Batch [49600] Speed: 10.95 samples/sec Train-Accuracy=0.880000
2016-09-27 12:28:03,427 Epoch[8] Batch [49650] Speed: 11.02 samples/sec Train-Accuracy=0.841429
2016-09-27 12:28:39,729 Epoch[8] Batch [49700] Speed: 11.02 samples/sec Train-Accuracy=0.851429
2016-09-27 12:29:15,890 Epoch[8] Batch [49750] Speed: 11.06 samples/sec Train-Accuracy=0.841429
2016-09-27 12:29:52,272 Epoch[8] Batch [49800] Speed: 10.99 samples/sec Train-Accuracy=0.850000
2016-09-27 12:30:28,421 Epoch[8] Batch [49850] Speed: 11.07 samples/sec Train-Accuracy=0.871429
2016-09-27 12:31:04,666 Epoch[8] Batch [49900] Speed: 11.04 samples/sec Train-Accuracy=0.815714
2016-09-27 12:31:40,784 Epoch[8] Batch [49950] Speed: 11.07 samples/sec Train-Accuracy=0.864286
2016-09-27 12:32:17,125 Epoch[8] Batch [50000] Speed: 11.01 samples/sec Train-Accuracy=0.831429
2016-09-27 12:32:53,164 Epoch[8] Batch [50050] Speed: 11.10 samples/sec Train-Accuracy=0.858571
2016-09-27 12:33:31,269 Epoch[8] Batch [50100] Speed: 10.50 samples/sec Train-Accuracy=0.844286
2016-09-27 12:34:10,212 Epoch[8] Batch [50150] Speed: 10.27 samples/sec Train-Accuracy=0.828571
2016-09-27 12:34:51,704 Epoch[8] Batch [50200] Speed: 9.64 samples/sec Train-Accuracy=0.835714
2016-09-27 12:35:29,717 Epoch[8] Batch [50250] Speed: 10.52 samples/sec Train-Accuracy=0.864286
2016-09-27 12:36:06,124 Epoch[8] Batch [50300] Speed: 10.99 samples/sec Train-Accuracy=0.858571
2016-09-27 12:36:42,405 Epoch[8] Batch [50350] Speed: 11.03 samples/sec Train-Accuracy=0.858571
2016-09-27 12:37:18,685 Epoch[8] Batch [50400] Speed: 11.03 samples/sec Train-Accuracy=0.835714
2016-09-27 12:37:54,919 Epoch[8] Batch [50450] Speed: 11.04 samples/sec Train-Accuracy=0.857143
2016-09-27 12:38:31,198 Epoch[8] Batch [50500] Speed: 11.03 samples/sec Train-Accuracy=0.848571
2016-09-27 12:39:07,461 Epoch[8] Batch [50550] Speed: 11.03 samples/sec Train-Accuracy=0.848571
2016-09-27 12:39:43,754 Epoch[8] Batch [50600] Speed: 11.02 samples/sec Train-Accuracy=0.825714
2016-09-27 12:40:20,018 Epoch[8] Batch [50650] Speed: 11.03 samples/sec Train-Accuracy=0.882857
2016-09-27 12:40:56,243 Epoch[8] Batch [50700] Speed: 11.04 samples/sec Train-Accuracy=0.858571
2016-09-27 12:41:32,449 Epoch[8] Batch [50750] Speed: 11.05 samples/sec Train-Accuracy=0.807143
2016-09-27 12:42:08,713 Epoch[8] Batch [50800] Speed: 11.03 samples/sec Train-Accuracy=0.810000
2016-09-27 12:42:44,934 Epoch[8] Batch [50850] Speed: 11.04 samples/sec Train-Accuracy=0.832857
2016-09-27 12:43:21,175 Epoch[8] Batch [50900] Speed: 11.04 samples/sec Train-Accuracy=0.812857
2016-09-27 12:44:01,807 Epoch[8] Batch [50950] Speed: 9.84 samples/sec Train-Accuracy=0.851429
2016-09-27 12:44:42,043 Epoch[8] Batch [51000] Speed: 9.94 samples/sec Train-Accuracy=0.860000
2016-09-27 12:45:20,558 Epoch[8] Batch [51050] Speed: 10.39 samples/sec Train-Accuracy=0.831429
2016-09-27 12:45:59,152 Epoch[8] Batch [51100] Speed: 10.36 samples/sec Train-Accuracy=0.840000
2016-09-27 12:46:37,316 Epoch[8] Batch [51150] Speed: 10.48 samples/sec Train-Accuracy=0.844286
2016-09-27 12:47:15,397 Epoch[8] Batch [51200] Speed: 10.50 samples/sec Train-Accuracy=0.834286
2016-09-27 12:47:53,481 Epoch[8] Batch [51250] Speed: 10.50 samples/sec Train-Accuracy=0.861429
2016-09-27 12:48:31,305 Epoch[8] Batch [51300] Speed: 10.58 samples/sec Train-Accuracy=0.830000
2016-09-27 12:49:09,504 Epoch[8] Batch [51350] Speed: 10.47 samples/sec Train-Accuracy=0.848571
2016-09-27 12:49:46,974 Epoch[8] Batch [51400] Speed: 10.68 samples/sec Train-Accuracy=0.860000
2016-09-27 12:50:23,641 Epoch[8] Batch [51450] Speed: 10.91 samples/sec Train-Accuracy=0.818571
2016-09-27 12:51:00,153 Epoch[8] Batch [51500] Speed: 10.96 samples/sec Train-Accuracy=0.835714
2016-09-27 12:51:36,731 Epoch[8] Batch [51550] Speed: 10.94 samples/sec Train-Accuracy=0.831429
2016-09-27 12:52:13,329 Epoch[8] Batch [51600] Speed: 10.93 samples/sec Train-Accuracy=0.842857
2016-09-27 12:52:50,609 Epoch[8] Batch [51650] Speed: 10.73 samples/sec Train-Accuracy=0.860000
2016-09-27 12:53:27,376 Epoch[8] Batch [51700] Speed: 10.88 samples/sec Train-Accuracy=0.855714
2016-09-27 12:54:04,017 Epoch[8] Batch [51750] Speed: 10.92 samples/sec Train-Accuracy=0.845714
2016-09-27 12:54:40,721 Epoch[8] Batch [51800] Speed: 10.90 samples/sec Train-Accuracy=0.837143
2016-09-27 12:55:18,030 Epoch[8] Batch [51850] Speed: 10.72 samples/sec Train-Accuracy=0.850000
2016-09-27 12:55:59,711 Epoch[8] Batch [51900] Speed: 9.60 samples/sec Train-Accuracy=0.857143
2016-09-27 12:56:38,177 Epoch[8] Batch [51950] Speed: 10.40 samples/sec Train-Accuracy=0.814286
2016-09-27 12:57:16,463 Epoch[8] Batch [52000] Speed: 10.45 samples/sec Train-Accuracy=0.855714
2016-09-27 12:57:54,086 Epoch[8] Batch [52050] Speed: 10.63 samples/sec Train-Accuracy=0.860000
2016-09-27 12:58:30,673 Epoch[8] Batch [52100] Speed: 10.93 samples/sec Train-Accuracy=0.868571
2016-09-27 12:59:07,402 Epoch[8] Batch [52150] Speed: 10.89 samples/sec Train-Accuracy=0.841429
2016-09-27 12:59:43,901 Epoch[8] Batch [52200] Speed: 10.96 samples/sec Train-Accuracy=0.847143
2016-09-27 13:00:20,504 Epoch[8] Batch [52250] Speed: 10.93 samples/sec Train-Accuracy=0.847143
2016-09-27 13:00:57,121 Epoch[8] Batch [52300] Speed: 10.92 samples/sec Train-Accuracy=0.837143
2016-09-27 13:01:34,024 Epoch[8] Batch [52350] Speed: 10.84 samples/sec Train-Accuracy=0.857143
2016-09-27 13:02:10,859 Epoch[8] Batch [52400] Speed: 10.86 samples/sec Train-Accuracy=0.855714
2016-09-27 13:02:47,673 Epoch[8] Batch [52450] Speed: 10.87 samples/sec Train-Accuracy=0.842857
2016-09-27 13:03:24,547 Epoch[8] Batch [52500] Speed: 10.85 samples/sec Train-Accuracy=0.822857
2016-09-27 13:04:01,457 Epoch[8] Batch [52550] Speed: 10.84 samples/sec Train-Accuracy=0.862857
2016-09-27 13:04:38,159 Epoch[8] Batch [52600] Speed: 10.90 samples/sec Train-Accuracy=0.840000
2016-09-27 13:05:15,652 Epoch[8] Batch [52650] Speed: 10.67 samples/sec Train-Accuracy=0.847143
2016-09-27 13:05:52,819 Epoch[8] Batch [52700] Speed: 10.76 samples/sec Train-Accuracy=0.844286
2016-09-27 13:06:30,388 Epoch[8] Batch [52750] Speed: 10.65 samples/sec Train-Accuracy=0.822857
2016-09-27 13:07:08,892 Epoch[8] Batch [52800] Speed: 10.39 samples/sec Train-Accuracy=0.834286
2016-09-27 13:07:47,024 Epoch[8] Batch [52850] Speed: 10.49 samples/sec Train-Accuracy=0.838571
2016-09-27 13:08:27,107 Epoch[8] Batch [52900] Speed: 9.98 samples/sec Train-Accuracy=0.845714
2016-09-27 13:09:09,533 Epoch[8] Batch [52950] Speed: 9.43 samples/sec Train-Accuracy=0.850000
2016-09-27 13:09:52,264 Epoch[8] Batch [53000] Speed: 9.36 samples/sec Train-Accuracy=0.847143
2016-09-27 13:10:34,950 Epoch[8] Batch [53050] Speed: 9.37 samples/sec Train-Accuracy=0.827143
2016-09-27 13:11:14,289 Epoch[8] Batch [53100] Speed: 10.17 samples/sec Train-Accuracy=0.821429
2016-09-27 13:11:52,254 Epoch[8] Batch [53150] Speed: 10.54 samples/sec Train-Accuracy=0.857143
2016-09-27 13:12:33,172 Epoch[8] Batch [53200] Speed: 9.78 samples/sec Train-Accuracy=0.824286
2016-09-27 13:13:12,562 Epoch[8] Batch [53250] Speed: 10.16 samples/sec Train-Accuracy=0.847143
2016-09-27 13:13:52,886 Epoch[8] Batch [53300] Speed: 9.92 samples/sec Train-Accuracy=0.857143
2016-09-27 13:14:32,105 Epoch[8] Batch [53350] Speed: 10.20 samples/sec Train-Accuracy=0.845714
2016-09-27 13:15:08,232 Epoch[8] Batch [53400] Speed: 11.07 samples/sec Train-Accuracy=0.821429
2016-09-27 13:15:44,321 Epoch[8] Batch [53450] Speed: 11.08 samples/sec Train-Accuracy=0.820000
2016-09-27 13:16:20,434 Epoch[8] Batch [53500] Speed: 11.08 samples/sec Train-Accuracy=0.847143
2016-09-27 13:16:56,375 Epoch[8] Batch [53550] Speed: 11.13 samples/sec Train-Accuracy=0.845714
2016-09-27 13:17:32,355 Epoch[8] Batch [53600] Speed: 11.12 samples/sec Train-Accuracy=0.848571
2016-09-27 13:18:08,377 Epoch[8] Batch [53650] Speed: 11.10 samples/sec Train-Accuracy=0.840000
2016-09-27 13:18:44,370 Epoch[8] Batch [53700] Speed: 11.11 samples/sec Train-Accuracy=0.862857
2016-09-27 13:19:20,388 Epoch[8] Batch [53750] Speed: 11.11 samples/sec Train-Accuracy=0.860000
2016-09-27 13:20:00,777 Epoch[8] Batch [53800] Speed: 9.90 samples/sec Train-Accuracy=0.842857
2016-09-27 13:20:37,520 Epoch[8] Batch [53850] Speed: 10.89 samples/sec Train-Accuracy=0.847143
2016-09-27 13:21:18,017 Epoch[8] Batch [53900] Speed: 9.88 samples/sec Train-Accuracy=0.838571
2016-09-27 13:21:56,601 Epoch[8] Batch [53950] Speed: 10.37 samples/sec Train-Accuracy=0.832857
2016-09-27 13:22:35,120 Epoch[8] Batch [54000] Speed: 10.38 samples/sec Train-Accuracy=0.851429
2016-09-27 13:23:14,229 Epoch[8] Batch [54050] Speed: 10.23 samples/sec Train-Accuracy=0.865714
2016-09-27 13:23:51,823 Epoch[8] Batch [54100] Speed: 10.64 samples/sec Train-Accuracy=0.860000
2016-09-27 13:24:29,233 Epoch[8] Batch [54150] Speed: 10.69 samples/sec Train-Accuracy=0.808571
2016-09-27 13:25:07,299 Epoch[8] Batch [54200] Speed: 10.51 samples/sec Train-Accuracy=0.851429
2016-09-27 13:25:46,010 Epoch[8] Batch [54250] Speed: 10.33 samples/sec Train-Accuracy=0.818571
2016-09-27 13:26:25,477 Epoch[8] Batch [54300] Speed: 10.14 samples/sec Train-Accuracy=0.837143
2016-09-27 13:27:03,938 Epoch[8] Batch [54350] Speed: 10.40 samples/sec Train-Accuracy=0.828571
2016-09-27 13:27:42,316 Epoch[8] Batch [54400] Speed: 10.42 samples/sec Train-Accuracy=0.842857
2016-09-27 13:28:20,668 Epoch[8] Batch [54450] Speed: 10.43 samples/sec Train-Accuracy=0.845714
2016-09-27 13:28:58,371 Epoch[8] Batch [54500] Speed: 10.61 samples/sec Train-Accuracy=0.861429
2016-09-27 13:29:35,159 Epoch[8] Batch [54550] Speed: 10.87 samples/sec Train-Accuracy=0.820000
2016-09-27 13:30:15,714 Epoch[8] Batch [54600] Speed: 9.86 samples/sec Train-Accuracy=0.842857
2016-09-27 13:30:56,854 Epoch[8] Batch [54650] Speed: 9.72 samples/sec Train-Accuracy=0.835714
2016-09-27 13:31:36,526 Epoch[8] Batch [54700] Speed: 10.08 samples/sec Train-Accuracy=0.851429
2016-09-27 13:32:13,701 Epoch[8] Batch [54750] Speed: 10.76 samples/sec Train-Accuracy=0.868571
2016-09-27 13:32:51,191 Epoch[8] Batch [54800] Speed: 10.67 samples/sec Train-Accuracy=0.845714
2016-09-27 13:33:28,973 Epoch[8] Batch [54850] Speed: 10.59 samples/sec Train-Accuracy=0.842857
2016-09-27 13:34:06,463 Epoch[8] Batch [54900] Speed: 10.67 samples/sec Train-Accuracy=0.844286
2016-09-27 13:34:42,581 Epoch[8] Batch [54950] Speed: 11.07 samples/sec Train-Accuracy=0.835714
2016-09-27 13:35:18,823 Epoch[8] Batch [55000] Speed: 11.04 samples/sec Train-Accuracy=0.847143
2016-09-27 13:35:55,456 Epoch[8] Batch [55050] Speed: 10.92 samples/sec Train-Accuracy=0.840000
2016-09-27 13:36:31,986 Epoch[8] Batch [55100] Speed: 10.95 samples/sec Train-Accuracy=0.852857
2016-09-27 13:37:08,394 Epoch[8] Batch [55150] Speed: 10.99 samples/sec Train-Accuracy=0.835714
2016-09-27 13:37:44,764 Epoch[8] Batch [55200] Speed: 11.00 samples/sec Train-Accuracy=0.855714
2016-09-27 13:38:21,323 Epoch[8] Batch [55250] Speed: 10.94 samples/sec Train-Accuracy=0.840000
2016-09-27 13:38:58,342 Epoch[8] Batch [55300] Speed: 10.81 samples/sec Train-Accuracy=0.827143
2016-09-27 13:39:34,756 Epoch[8] Batch [55350] Speed: 10.98 samples/sec Train-Accuracy=0.861429
2016-09-27 13:40:11,369 Epoch[8] Batch [55400] Speed: 10.93 samples/sec Train-Accuracy=0.872857
2016-09-27 13:40:47,992 Epoch[8] Batch [55450] Speed: 10.92 samples/sec Train-Accuracy=0.855714
2016-09-27 13:41:24,600 Epoch[8] Batch [55500] Speed: 10.93 samples/sec Train-Accuracy=0.848571
2016-09-27 13:42:01,204 Epoch[8] Batch [55550] Speed: 10.93 samples/sec Train-Accuracy=0.870000
2016-09-27 13:42:37,768 Epoch[8] Batch [55600] Speed: 10.94 samples/sec Train-Accuracy=0.850000
2016-09-27 13:43:14,272 Epoch[8] Batch [55650] Speed: 10.96 samples/sec Train-Accuracy=0.864286
2016-09-27 13:43:50,612 Epoch[8] Batch [55700] Speed: 11.01 samples/sec Train-Accuracy=0.854286
2016-09-27 13:44:26,943 Epoch[8] Batch [55750] Speed: 11.01 samples/sec Train-Accuracy=0.844286
2016-09-27 13:45:03,437 Epoch[8] Batch [55800] Speed: 10.96 samples/sec Train-Accuracy=0.871429
2016-09-27 13:45:39,836 Epoch[8] Batch [55850] Speed: 10.99 samples/sec Train-Accuracy=0.865714
2016-09-27 13:46:16,230 Epoch[8] Batch [55900] Speed: 10.99 samples/sec Train-Accuracy=0.837143
2016-09-27 13:46:52,635 Epoch[8] Batch [55950] Speed: 10.99 samples/sec Train-Accuracy=0.824286
2016-09-27 13:47:33,766 Epoch[8] Batch [56000] Speed: 9.72 samples/sec Train-Accuracy=0.858571
2016-09-27 13:48:10,272 Epoch[8] Batch [56050] Speed: 10.96 samples/sec Train-Accuracy=0.842857
2016-09-27 13:48:46,752 Epoch[8] Batch [56100] Speed: 10.96 samples/sec Train-Accuracy=0.840000
2016-09-27 13:49:23,542 Epoch[8] Batch [56150] Speed: 10.87 samples/sec Train-Accuracy=0.827143
2016-09-27 13:50:02,287 Epoch[8] Batch [56200] Speed: 10.32 samples/sec Train-Accuracy=0.808571
2016-09-27 13:50:38,662 Epoch[8] Batch [56250] Speed: 11.00 samples/sec Train-Accuracy=0.822857
2016-09-27 13:51:15,007 Epoch[8] Batch [56300] Speed: 11.01 samples/sec Train-Accuracy=0.834286
2016-09-27 13:51:51,431 Epoch[8] Batch [56350] Speed: 10.98 samples/sec Train-Accuracy=0.844286
2016-09-27 13:52:28,236 Epoch[8] Batch [56400] Speed: 10.87 samples/sec Train-Accuracy=0.821429
2016-09-27 13:53:05,232 Epoch[8] Batch [56450] Speed: 10.81 samples/sec Train-Accuracy=0.871429
2016-09-27 13:53:42,571 Epoch[8] Batch [56500] Speed: 10.71 samples/sec Train-Accuracy=0.851429
2016-09-27 13:54:20,971 Epoch[8] Batch [56550] Speed: 10.42 samples/sec Train-Accuracy=0.862857
2016-09-27 13:54:59,740 Epoch[8] Batch [56600] Speed: 10.32 samples/sec Train-Accuracy=0.830000
2016-09-27 13:55:38,429 Epoch[8] Batch [56650] Speed: 10.34 samples/sec Train-Accuracy=0.820000
2016-09-27 13:56:15,660 Epoch[8] Batch [56700] Speed: 10.74 samples/sec Train-Accuracy=0.848571
2016-09-27 13:56:54,797 Epoch[8] Batch [56750] Speed: 10.22 samples/sec Train-Accuracy=0.852857
2016-09-27 13:57:35,361 Epoch[8] Batch [56800] Speed: 9.86 samples/sec Train-Accuracy=0.834286
2016-09-27 13:58:16,191 Epoch[8] Batch [56850] Speed: 9.80 samples/sec Train-Accuracy=0.844286
2016-09-27 13:58:56,270 Epoch[8] Batch [56900] Speed: 9.98 samples/sec Train-Accuracy=0.837143
2016-09-27 13:59:36,168 Epoch[8] Batch [56950] Speed: 10.03 samples/sec Train-Accuracy=0.812857
2016-09-27 14:00:16,023 Epoch[8] Batch [57000] Speed: 10.04 samples/sec Train-Accuracy=0.832857
2016-09-27 14:00:56,468 Epoch[8] Batch [57050] Speed: 9.89 samples/sec Train-Accuracy=0.815714
2016-09-27 14:01:36,300 Epoch[8] Batch [57100] Speed: 10.04 samples/sec Train-Accuracy=0.868571
2016-09-27 14:02:16,163 Epoch[8] Batch [57150] Speed: 10.03 samples/sec Train-Accuracy=0.858571
2016-09-27 14:02:55,181 Epoch[8] Batch [57200] Speed: 10.25 samples/sec Train-Accuracy=0.835714
2016-09-27 14:03:32,033 Epoch[8] Batch [57250] Speed: 10.85 samples/sec Train-Accuracy=0.848571
2016-09-27 14:04:08,856 Epoch[8] Batch [57300] Speed: 10.86 samples/sec Train-Accuracy=0.837143
2016-09-27 14:04:45,054 Epoch[8] Batch [57350] Speed: 11.05 samples/sec Train-Accuracy=0.851429
2016-09-27 14:05:21,205 Epoch[8] Batch [57400] Speed: 11.06 samples/sec Train-Accuracy=0.808571
2016-09-27 14:05:57,334 Epoch[8] Batch [57450] Speed: 11.07 samples/sec Train-Accuracy=0.850000
2016-09-27 14:06:33,626 Epoch[8] Batch [57500] Speed: 11.02 samples/sec Train-Accuracy=0.857143
2016-09-27 14:07:09,878 Epoch[8] Batch [57550] Speed: 11.03 samples/sec Train-Accuracy=0.844286
2016-09-27 14:07:46,142 Epoch[8] Batch [57600] Speed: 11.03 samples/sec Train-Accuracy=0.828571
2016-09-27 14:08:22,305 Epoch[8] Batch [57650] Speed: 11.06 samples/sec Train-Accuracy=0.824286
2016-09-27 14:08:58,384 Epoch[8] Batch [57700] Speed: 11.09 samples/sec Train-Accuracy=0.814286
2016-09-27 14:09:34,413 Epoch[8] Batch [57750] Speed: 11.10 samples/sec Train-Accuracy=0.860000
2016-09-27 14:10:10,690 Epoch[8] Batch [57800] Speed: 11.03 samples/sec Train-Accuracy=0.860000
2016-09-27 14:10:46,732 Epoch[8] Batch [57850] Speed: 11.10 samples/sec Train-Accuracy=0.868571
2016-09-27 14:11:22,705 Epoch[8] Batch [57900] Speed: 11.12 samples/sec Train-Accuracy=0.854286
2016-09-27 14:11:58,796 Epoch[8] Batch [57950] Speed: 11.08 samples/sec Train-Accuracy=0.858571
2016-09-27 14:12:34,877 Epoch[8] Batch [58000] Speed: 11.09 samples/sec Train-Accuracy=0.840000
2016-09-27 14:13:11,139 Epoch[8] Batch [58050] Speed: 11.03 samples/sec Train-Accuracy=0.840000
2016-09-27 14:13:47,187 Epoch[8] Batch [58100] Speed: 11.10 samples/sec Train-Accuracy=0.870000
2016-09-27 14:14:23,148 Epoch[8] Batch [58150] Speed: 11.12 samples/sec Train-Accuracy=0.852857
2016-09-27 14:15:00,445 Epoch[8] Batch [58200] Speed: 10.72 samples/sec Train-Accuracy=0.861429
2016-09-27 14:15:38,070 Epoch[8] Batch [58250] Speed: 10.63 samples/sec Train-Accuracy=0.837143
2016-09-27 14:16:16,053 Epoch[8] Batch [58300] Speed: 10.53 samples/sec Train-Accuracy=0.854286
2016-09-27 14:16:55,072 Epoch[8] Batch [58350] Speed: 10.25 samples/sec Train-Accuracy=0.822857
2016-09-27 14:17:34,189 Epoch[8] Batch [58400] Speed: 10.23 samples/sec Train-Accuracy=0.860000
2016-09-27 14:18:13,238 Epoch[8] Batch [58450] Speed: 10.24 samples/sec Train-Accuracy=0.881429
2016-09-27 14:18:52,443 Epoch[8] Batch [58500] Speed: 10.20 samples/sec Train-Accuracy=0.835714
2016-09-27 14:19:31,217 Epoch[8] Batch [58550] Speed: 10.32 samples/sec Train-Accuracy=0.845714
2016-09-27 14:20:10,013 Epoch[8] Batch [58600] Speed: 10.31 samples/sec Train-Accuracy=0.822857
2016-09-27 14:20:49,650 Epoch[8] Batch [58650] Speed: 10.09 samples/sec Train-Accuracy=0.857143
2016-09-27 14:21:28,853 Epoch[8] Batch [58700] Speed: 10.20 samples/sec Train-Accuracy=0.835714
2016-09-27 14:22:06,019 Epoch[8] Batch [58750] Speed: 10.76 samples/sec Train-Accuracy=0.884286
2016-09-27 14:22:42,809 Epoch[8] Batch [58800] Speed: 10.87 samples/sec Train-Accuracy=0.854286
2016-09-27 14:23:19,413 Epoch[8] Batch [58850] Speed: 10.93 samples/sec Train-Accuracy=0.830000
2016-09-27 14:23:55,982 Epoch[8] Batch [58900] Speed: 10.94 samples/sec Train-Accuracy=0.844286
2016-09-27 14:24:32,599 Epoch[8] Batch [58950] Speed: 10.92 samples/sec Train-Accuracy=0.857143
2016-09-27 14:25:09,226 Epoch[8] Batch [59000] Speed: 10.92 samples/sec Train-Accuracy=0.844286
2016-09-27 14:25:46,045 Epoch[8] Batch [59050] Speed: 10.86 samples/sec Train-Accuracy=0.844286
2016-09-27 14:26:22,741 Epoch[8] Batch [59100] Speed: 10.90 samples/sec Train-Accuracy=0.844286
2016-09-27 14:26:59,580 Epoch[8] Batch [59150] Speed: 10.86 samples/sec Train-Accuracy=0.824286
2016-09-27 14:27:36,930 Epoch[8] Batch [59200] Speed: 10.71 samples/sec Train-Accuracy=0.838571
2016-09-27 14:28:14,736 Epoch[8] Batch [59250] Speed: 10.58 samples/sec Train-Accuracy=0.860000
2016-09-27 14:28:50,892 Epoch[8] Batch [59300] Speed: 11.06 samples/sec Train-Accuracy=0.842857
2016-09-27 14:29:26,945 Epoch[8] Batch [59350] Speed: 11.09 samples/sec Train-Accuracy=0.821429
2016-09-27 14:30:02,973 Epoch[8] Batch [59400] Speed: 11.10 samples/sec Train-Accuracy=0.838571
2016-09-27 14:30:39,034 Epoch[8] Batch [59450] Speed: 11.09 samples/sec Train-Accuracy=0.817143
2016-09-27 14:31:15,149 Epoch[8] Batch [59500] Speed: 11.08 samples/sec Train-Accuracy=0.840000
2016-09-27 14:31:51,214 Epoch[8] Batch [59550] Speed: 11.09 samples/sec Train-Accuracy=0.841429
2016-09-27 14:32:27,250 Epoch[8] Batch [59600] Speed: 11.10 samples/sec Train-Accuracy=0.840000
2016-09-27 14:33:03,229 Epoch[8] Batch [59650] Speed: 11.12 samples/sec Train-Accuracy=0.885714
2016-09-27 14:33:43,631 Epoch[8] Batch [59700] Speed: 9.90 samples/sec Train-Accuracy=0.872857
2016-09-27 14:34:20,078 Epoch[8] Batch [59750] Speed: 10.97 samples/sec Train-Accuracy=0.831429
2016-09-27 14:34:56,160 Epoch[8] Batch [59800] Speed: 11.09 samples/sec Train-Accuracy=0.827143
2016-09-27 14:35:32,152 Epoch[8] Batch [59850] Speed: 11.11 samples/sec Train-Accuracy=0.878571
2016-09-27 14:36:08,229 Epoch[8] Batch [59900] Speed: 11.09 samples/sec Train-Accuracy=0.847143
2016-09-27 14:36:44,385 Epoch[8] Batch [59950] Speed: 11.06 samples/sec Train-Accuracy=0.861429
2016-09-27 14:37:20,443 Epoch[8] Batch [60000] Speed: 11.09 samples/sec Train-Accuracy=0.861429
2016-09-27 14:37:57,036 Epoch[8] Batch [60050] Speed: 10.93 samples/sec Train-Accuracy=0.847143
2016-09-27 14:38:33,559 Epoch[8] Batch [60100] Speed: 10.95 samples/sec Train-Accuracy=0.831429
2016-09-27 14:39:12,110 Epoch[8] Batch [60150] Speed: 10.38 samples/sec Train-Accuracy=0.842857
2016-09-27 14:39:51,528 Epoch[8] Batch [60200] Speed: 10.15 samples/sec Train-Accuracy=0.837143
2016-09-27 14:40:29,634 Epoch[8] Batch [60250] Speed: 10.50 samples/sec Train-Accuracy=0.878571
2016-09-27 14:41:07,540 Epoch[8] Batch [60300] Speed: 10.55 samples/sec Train-Accuracy=0.835714
2016-09-27 14:41:45,465 Epoch[8] Batch [60350] Speed: 10.55 samples/sec Train-Accuracy=0.834286
2016-09-27 14:42:23,583 Epoch[8] Batch [60400] Speed: 10.49 samples/sec Train-Accuracy=0.820000
2016-09-27 14:43:02,559 Epoch[8] Batch [60450] Speed: 10.26 samples/sec Train-Accuracy=0.852857
2016-09-27 14:43:40,997 Epoch[8] Batch [60500] Speed: 10.41 samples/sec Train-Accuracy=0.837143
2016-09-27 14:44:20,669 Epoch[8] Batch [60550] Speed: 10.08 samples/sec Train-Accuracy=0.868571
2016-09-27 14:44:59,716 Epoch[8] Batch [60600] Speed: 10.24 samples/sec Train-Accuracy=0.847143
2016-09-27 14:45:38,337 Epoch[8] Batch [60650] Speed: 10.36 samples/sec Train-Accuracy=0.840000
2016-09-27 14:46:16,395 Epoch[8] Batch [60700] Speed: 10.51 samples/sec Train-Accuracy=0.852857
2016-09-27 14:46:55,452 Epoch[8] Batch [60750] Speed: 10.24 samples/sec Train-Accuracy=0.845714
2016-09-27 14:47:33,039 Epoch[8] Batch [60800] Speed: 10.64 samples/sec Train-Accuracy=0.838571
2016-09-27 14:48:10,280 Epoch[8] Batch [60850] Speed: 10.74 samples/sec Train-Accuracy=0.831429
2016-09-27 14:48:47,632 Epoch[8] Batch [60900] Speed: 10.71 samples/sec Train-Accuracy=0.847143
2016-09-27 14:49:25,044 Epoch[8] Batch [60950] Speed: 10.69 samples/sec Train-Accuracy=0.835714
2016-09-27 14:50:02,484 Epoch[8] Batch [61000] Speed: 10.68 samples/sec Train-Accuracy=0.872857
2016-09-27 14:50:39,386 Epoch[8] Batch [61050] Speed: 10.84 samples/sec Train-Accuracy=0.860000
2016-09-27 14:51:17,059 Epoch[8] Batch [61100] Speed: 10.62 samples/sec Train-Accuracy=0.852857
2016-09-27 14:51:59,629 Epoch[8] Batch [61150] Speed: 9.40 samples/sec Train-Accuracy=0.842857
2016-09-27 14:52:41,345 Epoch[8] Batch [61200] Speed: 9.59 samples/sec Train-Accuracy=0.842857
2016-09-27 14:53:18,711 Epoch[8] Batch [61250] Speed: 10.70 samples/sec Train-Accuracy=0.841429
2016-09-27 14:53:56,494 Epoch[8] Batch [61300] Speed: 10.59 samples/sec Train-Accuracy=0.861429
2016-09-27 14:54:33,768 Epoch[8] Batch [61350] Speed: 10.73 samples/sec Train-Accuracy=0.844286
2016-09-27 14:55:10,741 Epoch[8] Batch [61400] Speed: 10.82 samples/sec Train-Accuracy=0.872857
2016-09-27 14:55:47,582 Epoch[8] Batch [61450] Speed: 10.86 samples/sec Train-Accuracy=0.862857
2016-09-27 14:56:24,674 Epoch[8] Batch [61500] Speed: 10.78 samples/sec Train-Accuracy=0.841429
2016-09-27 14:57:02,697 Epoch[8] Batch [61550] Speed: 10.52 samples/sec Train-Accuracy=0.821429
2016-09-27 14:57:39,806 Epoch[8] Batch [61600] Speed: 10.78 samples/sec Train-Accuracy=0.841429
2016-09-27 14:58:17,198 Epoch[8] Batch [61650] Speed: 10.70 samples/sec Train-Accuracy=0.831429
2016-09-27 14:58:55,085 Epoch[8] Batch [61700] Speed: 10.56 samples/sec Train-Accuracy=0.860000
2016-09-27 14:59:32,575 Epoch[8] Batch [61750] Speed: 10.67 samples/sec Train-Accuracy=0.837143
2016-09-27 15:00:10,079 Epoch[8] Batch [61800] Speed: 10.67 samples/sec Train-Accuracy=0.858571
2016-09-27 15:00:47,350 Epoch[8] Batch [61850] Speed: 10.73 samples/sec Train-Accuracy=0.861429
2016-09-27 15:01:24,748 Epoch[8] Batch [61900] Speed: 10.70 samples/sec Train-Accuracy=0.868571
2016-09-27 15:02:02,246 Epoch[8] Batch [61950] Speed: 10.67 samples/sec Train-Accuracy=0.842857
2016-09-27 15:02:39,825 Epoch[8] Batch [62000] Speed: 10.64 samples/sec Train-Accuracy=0.850000
2016-09-27 15:03:19,485 Epoch[8] Batch [62050] Speed: 10.09 samples/sec Train-Accuracy=0.861429
2016-09-27 15:04:01,201 Epoch[8] Batch [62100] Speed: 9.59 samples/sec Train-Accuracy=0.852857
2016-09-27 15:04:39,499 Epoch[8] Batch [62150] Speed: 10.44 samples/sec Train-Accuracy=0.852857
2016-09-27 15:05:17,405 Epoch[8] Batch [62200] Speed: 10.55 samples/sec Train-Accuracy=0.851429
2016-09-27 15:05:54,494 Epoch[8] Batch [62250] Speed: 10.78 samples/sec Train-Accuracy=0.860000
2016-09-27 15:06:31,553 Epoch[8] Batch [62300] Speed: 10.79 samples/sec Train-Accuracy=0.828571
2016-09-27 15:07:08,595 Epoch[8] Batch [62350] Speed: 10.80 samples/sec Train-Accuracy=0.807143
2016-09-27 15:07:45,795 Epoch[8] Batch [62400] Speed: 10.75 samples/sec Train-Accuracy=0.840000
2016-09-27 15:08:23,141 Epoch[8] Batch [62450] Speed: 10.71 samples/sec Train-Accuracy=0.828571
2016-09-27 15:09:00,058 Epoch[8] Batch [62500] Speed: 10.83 samples/sec Train-Accuracy=0.860000
2016-09-27 15:09:00,059 Epoch[8] Resetting Data Iterator
2016-09-27 15:09:00,059 Epoch[8] Time cost=46949.931
2016-09-27 15:09:52,403 Epoch[8] Validation-Accuracy=0.827429
2016-09-27 15:10:29,127 Epoch[9] Batch [50] Speed: 11.01 samples/sec Train-Accuracy=0.851429
2016-09-27 15:11:10,691 Epoch[9] Batch [100] Speed: 9.62 samples/sec Train-Accuracy=0.840000
2016-09-27 15:11:49,602 Epoch[9] Batch [150] Speed: 10.28 samples/sec Train-Accuracy=0.841429
2016-09-27 15:12:27,973 Epoch[9] Batch [200] Speed: 10.42 samples/sec Train-Accuracy=0.840000
2016-09-27 15:13:05,155 Epoch[9] Batch [250] Speed: 10.76 samples/sec Train-Accuracy=0.844286
2016-09-27 15:13:43,097 Epoch[9] Batch [300] Speed: 10.54 samples/sec Train-Accuracy=0.848571
2016-09-27 15:14:22,076 Epoch[9] Batch [350] Speed: 10.26 samples/sec Train-Accuracy=0.832857
2016-09-27 15:14:59,214 Epoch[9] Batch [400] Speed: 10.77 samples/sec Train-Accuracy=0.820000
2016-09-27 15:15:36,450 Epoch[9] Batch [450] Speed: 10.74 samples/sec Train-Accuracy=0.848571
2016-09-27 15:16:13,831 Epoch[9] Batch [500] Speed: 10.70 samples/sec Train-Accuracy=0.842857
2016-09-27 15:16:50,957 Epoch[9] Batch [550] Speed: 10.77 samples/sec Train-Accuracy=0.845714
2016-09-27 15:17:27,955 Epoch[9] Batch [600] Speed: 10.81 samples/sec Train-Accuracy=0.835714
2016-09-27 15:18:04,963 Epoch[9] Batch [650] Speed: 10.81 samples/sec Train-Accuracy=0.835714
2016-09-27 15:18:42,035 Epoch[9] Batch [700] Speed: 10.79 samples/sec Train-Accuracy=0.852857
2016-09-27 15:19:19,111 Epoch[9] Batch [750] Speed: 10.79 samples/sec Train-Accuracy=0.848571
2016-09-27 15:19:55,971 Epoch[9] Batch [800] Speed: 10.85 samples/sec Train-Accuracy=0.850000
2016-09-27 15:20:32,829 Epoch[9] Batch [850] Speed: 10.85 samples/sec Train-Accuracy=0.845714
2016-09-27 15:21:11,174 Epoch[9] Batch [900] Speed: 10.43 samples/sec Train-Accuracy=0.854286
2016-09-27 15:21:50,875 Epoch[9] Batch [950] Speed: 10.08 samples/sec Train-Accuracy=0.831429
2016-09-27 15:22:29,560 Epoch[9] Batch [1000] Speed: 10.34 samples/sec Train-Accuracy=0.840000
2016-09-27 15:23:09,314 Epoch[9] Batch [1050] Speed: 10.06 samples/sec Train-Accuracy=0.837143
2016-09-27 15:23:48,881 Epoch[9] Batch [1100] Speed: 10.11 samples/sec Train-Accuracy=0.854286
2016-09-27 15:24:27,351 Epoch[9] Batch [1150] Speed: 10.40 samples/sec Train-Accuracy=0.822857
2016-09-27 15:25:04,482 Epoch[9] Batch [1200] Speed: 10.77 samples/sec Train-Accuracy=0.865714
2016-09-27 15:25:41,282 Epoch[9] Batch [1250] Speed: 10.87 samples/sec Train-Accuracy=0.835714
2016-09-27 15:26:17,942 Epoch[9] Batch [1300] Speed: 10.91 samples/sec Train-Accuracy=0.868571
2016-09-27 15:26:54,766 Epoch[9] Batch [1350] Speed: 10.86 samples/sec Train-Accuracy=0.840000
2016-09-27 15:27:31,840 Epoch[9] Batch [1400] Speed: 10.79 samples/sec Train-Accuracy=0.832857
2016-09-27 15:28:08,742 Epoch[9] Batch [1450] Speed: 10.84 samples/sec Train-Accuracy=0.850000
2016-09-27 15:28:45,564 Epoch[9] Batch [1500] Speed: 10.86 samples/sec Train-Accuracy=0.854286
2016-09-27 15:29:22,158 Epoch[9] Batch [1550] Speed: 10.93 samples/sec Train-Accuracy=0.868571
2016-09-27 15:29:59,140 Epoch[9] Batch [1600] Speed: 10.82 samples/sec Train-Accuracy=0.842857
2016-09-27 15:30:36,142 Epoch[9] Batch [1650] Speed: 10.81 samples/sec Train-Accuracy=0.858571
2016-09-27 15:31:14,389 Epoch[9] Batch [1700] Speed: 10.46 samples/sec Train-Accuracy=0.850000
2016-09-27 15:31:53,542 Epoch[9] Batch [1750] Speed: 10.22 samples/sec Train-Accuracy=0.817143
2016-09-27 15:32:35,546 Epoch[9] Batch [1800] Speed: 9.52 samples/sec Train-Accuracy=0.837143
2016-09-27 15:33:16,899 Epoch[9] Batch [1850] Speed: 9.67 samples/sec Train-Accuracy=0.842857
2016-09-27 15:33:57,780 Epoch[9] Batch [1900] Speed: 9.78 samples/sec Train-Accuracy=0.824286
2016-09-27 15:34:38,552 Epoch[9] Batch [1950] Speed: 9.81 samples/sec Train-Accuracy=0.868571
2016-09-27 15:35:19,643 Epoch[9] Batch [2000] Speed: 9.73 samples/sec Train-Accuracy=0.867143
2016-09-27 15:35:59,219 Epoch[9] Batch [2050] Speed: 10.11 samples/sec Train-Accuracy=0.858571
2016-09-27 15:36:37,342 Epoch[9] Batch [2100] Speed: 10.49 samples/sec Train-Accuracy=0.840000
2016-09-27 15:37:15,296 Epoch[9] Batch [2150] Speed: 10.54 samples/sec Train-Accuracy=0.868571
2016-09-27 15:37:52,547 Epoch[9] Batch [2200] Speed: 10.74 samples/sec Train-Accuracy=0.891429
2016-09-27 15:38:29,706 Epoch[9] Batch [2250] Speed: 10.76 samples/sec Train-Accuracy=0.848571
2016-09-27 15:39:06,963 Epoch[9] Batch [2300] Speed: 10.74 samples/sec Train-Accuracy=0.860000
2016-09-27 15:39:44,393 Epoch[9] Batch [2350] Speed: 10.69 samples/sec Train-Accuracy=0.858571
2016-09-27 15:40:22,663 Epoch[9] Batch [2400] Speed: 10.45 samples/sec Train-Accuracy=0.857143
2016-09-27 15:41:01,669 Epoch[9] Batch [2450] Speed: 10.25 samples/sec Train-Accuracy=0.838571
2016-09-27 15:41:40,440 Epoch[9] Batch [2500] Speed: 10.32 samples/sec Train-Accuracy=0.851429
2016-09-27 15:42:20,275 Epoch[9] Batch [2550] Speed: 10.04 samples/sec Train-Accuracy=0.868571
2016-09-27 15:42:59,822 Epoch[9] Batch [2600] Speed: 10.11 samples/sec Train-Accuracy=0.865714
2016-09-27 15:43:39,044 Epoch[9] Batch [2650] Speed: 10.20 samples/sec Train-Accuracy=0.835714
2016-09-27 15:44:18,016 Epoch[9] Batch [2700] Speed: 10.26 samples/sec Train-Accuracy=0.862857
2016-09-27 15:44:56,719 Epoch[9] Batch [2750] Speed: 10.34 samples/sec Train-Accuracy=0.848571
2016-09-27 15:45:35,809 Epoch[9] Batch [2800] Speed: 10.23 samples/sec Train-Accuracy=0.840000
2016-09-27 15:46:16,951 Epoch[9] Batch [2850] Speed: 9.72 samples/sec Train-Accuracy=0.868571
2016-09-27 15:46:57,059 Epoch[9] Batch [2900] Speed: 9.97 samples/sec Train-Accuracy=0.850000
2016-09-27 15:47:35,484 Epoch[9] Batch [2950] Speed: 10.41 samples/sec Train-Accuracy=0.847143
2016-09-27 15:48:14,177 Epoch[9] Batch [3000] Speed: 10.34 samples/sec Train-Accuracy=0.844286
2016-09-27 15:48:51,855 Epoch[9] Batch [3050] Speed: 10.62 samples/sec Train-Accuracy=0.868571
2016-09-27 15:49:29,879 Epoch[9] Batch [3100] Speed: 10.52 samples/sec Train-Accuracy=0.837143
2016-09-27 15:50:07,415 Epoch[9] Batch [3150] Speed: 10.66 samples/sec Train-Accuracy=0.867143
2016-09-27 15:50:44,706 Epoch[9] Batch [3200] Speed: 10.73 samples/sec Train-Accuracy=0.847143
2016-09-27 15:51:21,906 Epoch[9] Batch [3250] Speed: 10.75 samples/sec Train-Accuracy=0.832857
2016-09-27 15:51:59,375 Epoch[9] Batch [3300] Speed: 10.68 samples/sec Train-Accuracy=0.824286
2016-09-27 15:52:35,861 Epoch[9] Batch [3350] Speed: 10.96 samples/sec Train-Accuracy=0.851429
2016-09-27 15:53:14,649 Epoch[9] Batch [3400] Speed: 10.31 samples/sec Train-Accuracy=0.842857
2016-09-27 15:53:50,936 Epoch[9] Batch [3450] Speed: 11.02 samples/sec Train-Accuracy=0.837143
2016-09-27 15:54:27,396 Epoch[9] Batch [3500] Speed: 10.97 samples/sec Train-Accuracy=0.848571
2016-09-27 15:55:06,907 Epoch[9] Batch [3550] Speed: 10.12 samples/sec Train-Accuracy=0.838571
2016-09-27 15:55:48,297 Epoch[9] Batch [3600] Speed: 9.66 samples/sec Train-Accuracy=0.872857
2016-09-27 15:56:28,330 Epoch[9] Batch [3650] Speed: 9.99 samples/sec Train-Accuracy=0.881429
2016-09-27 15:57:04,519 Epoch[9] Batch [3700] Speed: 11.05 samples/sec Train-Accuracy=0.830000
2016-09-27 15:57:40,782 Epoch[9] Batch [3750] Speed: 11.03 samples/sec Train-Accuracy=0.858571
2016-09-27 15:58:18,044 Epoch[9] Batch [3800] Speed: 10.73 samples/sec Train-Accuracy=0.805714
2016-09-27 15:58:56,114 Epoch[9] Batch [3850] Speed: 10.51 samples/sec Train-Accuracy=0.872857
2016-09-27 15:59:33,942 Epoch[9] Batch [3900] Speed: 10.57 samples/sec Train-Accuracy=0.865714
2016-09-27 16:00:14,040 Epoch[9] Batch [3950] Speed: 9.98 samples/sec Train-Accuracy=0.837143
2016-09-27 16:00:51,981 Epoch[9] Batch [4000] Speed: 10.54 samples/sec Train-Accuracy=0.820000
2016-09-27 16:01:28,368 Epoch[9] Batch [4050] Speed: 10.99 samples/sec Train-Accuracy=0.847143
2016-09-27 16:02:04,859 Epoch[9] Batch [4100] Speed: 10.96 samples/sec Train-Accuracy=0.864286
2016-09-27 16:02:41,584 Epoch[9] Batch [4150] Speed: 10.89 samples/sec Train-Accuracy=0.851429
2016-09-27 16:03:19,130 Epoch[9] Batch [4200] Speed: 10.65 samples/sec Train-Accuracy=0.837143
2016-09-27 16:03:57,528 Epoch[9] Batch [4250] Speed: 10.42 samples/sec Train-Accuracy=0.868571
2016-09-27 16:04:34,764 Epoch[9] Batch [4300] Speed: 10.74 samples/sec Train-Accuracy=0.880000
2016-09-27 16:05:11,110 Epoch[9] Batch [4350] Speed: 11.01 samples/sec Train-Accuracy=0.841429
2016-09-27 16:05:47,512 Epoch[9] Batch [4400] Speed: 10.99 samples/sec Train-Accuracy=0.864286
2016-09-27 16:06:24,408 Epoch[9] Batch [4450] Speed: 10.84 samples/sec Train-Accuracy=0.850000
2016-09-27 16:07:03,051 Epoch[9] Batch [4500] Speed: 10.35 samples/sec Train-Accuracy=0.842857
2016-09-27 16:07:40,764 Epoch[9] Batch [4550] Speed: 10.61 samples/sec Train-Accuracy=0.855714
2016-09-27 16:08:18,992 Epoch[9] Batch [4600] Speed: 10.46 samples/sec Train-Accuracy=0.837143
2016-09-27 16:08:55,475 Epoch[9] Batch [4650] Speed: 10.96 samples/sec Train-Accuracy=0.824286
2016-09-27 16:09:31,833 Epoch[9] Batch [4700] Speed: 11.00 samples/sec Train-Accuracy=0.837143
2016-09-27 16:10:08,153 Epoch[9] Batch [4750] Speed: 11.01 samples/sec Train-Accuracy=0.845714
2016-09-27 16:10:44,525 Epoch[9] Batch [4800] Speed: 11.00 samples/sec Train-Accuracy=0.837143
2016-09-27 16:11:20,857 Epoch[9] Batch [4850] Speed: 11.01 samples/sec Train-Accuracy=0.817143
2016-09-27 16:11:57,214 Epoch[9] Batch [4900] Speed: 11.00 samples/sec Train-Accuracy=0.854286
2016-09-27 16:12:34,763 Epoch[9] Batch [4950] Speed: 10.65 samples/sec Train-Accuracy=0.837143
2016-09-27 16:13:13,051 Epoch[9] Batch [5000] Speed: 10.45 samples/sec Train-Accuracy=0.845714
2016-09-27 16:13:49,564 Epoch[9] Batch [5050] Speed: 10.96 samples/sec Train-Accuracy=0.831429
2016-09-27 16:14:26,235 Epoch[9] Batch [5100] Speed: 10.91 samples/sec Train-Accuracy=0.818571
2016-09-27 16:15:02,615 Epoch[9] Batch [5150] Speed: 11.00 samples/sec Train-Accuracy=0.845714
2016-09-27 16:15:38,928 Epoch[9] Batch [5200] Speed: 11.02 samples/sec Train-Accuracy=0.848571
2016-09-27 16:16:15,268 Epoch[9] Batch [5250] Speed: 11.01 samples/sec Train-Accuracy=0.874286
2016-09-27 16:16:51,566 Epoch[9] Batch [5300] Speed: 11.02 samples/sec Train-Accuracy=0.850000
2016-09-27 16:17:28,119 Epoch[9] Batch [5350] Speed: 10.94 samples/sec Train-Accuracy=0.851429
2016-09-27 16:18:04,735 Epoch[9] Batch [5400] Speed: 10.92 samples/sec Train-Accuracy=0.860000
2016-09-27 16:18:41,071 Epoch[9] Batch [5450] Speed: 11.01 samples/sec Train-Accuracy=0.842857
2016-09-27 16:19:17,466 Epoch[9] Batch [5500] Speed: 10.99 samples/sec Train-Accuracy=0.857143
2016-09-27 16:19:53,809 Epoch[9] Batch [5550] Speed: 11.01 samples/sec Train-Accuracy=0.850000
2016-09-27 16:20:30,141 Epoch[9] Batch [5600] Speed: 11.01 samples/sec Train-Accuracy=0.810000
2016-09-27 16:21:06,468 Epoch[9] Batch [5650] Speed: 11.01 samples/sec Train-Accuracy=0.808571
2016-09-27 16:21:42,812 Epoch[9] Batch [5700] Speed: 11.01 samples/sec Train-Accuracy=0.852857
2016-09-27 16:22:19,130 Epoch[9] Batch [5750] Speed: 11.01 samples/sec Train-Accuracy=0.831429
2016-09-27 16:22:55,469 Epoch[9] Batch [5800] Speed: 11.01 samples/sec Train-Accuracy=0.848571
2016-09-27 16:23:31,834 Epoch[9] Batch [5850] Speed: 11.00 samples/sec Train-Accuracy=0.797143
2016-09-27 16:24:08,096 Epoch[9] Batch [5900] Speed: 11.03 samples/sec Train-Accuracy=0.865714
2016-09-27 16:24:44,359 Epoch[9] Batch [5950] Speed: 11.03 samples/sec Train-Accuracy=0.832857
2016-09-27 16:25:20,843 Epoch[9] Batch [6000] Speed: 10.96 samples/sec Train-Accuracy=0.861429
2016-09-27 16:25:57,136 Epoch[9] Batch [6050] Speed: 11.02 samples/sec Train-Accuracy=0.827143
2016-09-27 16:26:33,604 Epoch[9] Batch [6100] Speed: 10.97 samples/sec Train-Accuracy=0.850000
2016-09-27 16:27:09,824 Epoch[9] Batch [6150] Speed: 11.04 samples/sec Train-Accuracy=0.801429
2016-09-27 16:27:46,090 Epoch[9] Batch [6200] Speed: 11.03 samples/sec Train-Accuracy=0.852857
2016-09-27 16:28:22,385 Epoch[9] Batch [6250] Speed: 11.02 samples/sec Train-Accuracy=0.834286
2016-09-27 16:28:58,822 Epoch[9] Batch [6300] Speed: 10.98 samples/sec Train-Accuracy=0.870000
2016-09-27 16:29:36,270 Epoch[9] Batch [6350] Speed: 10.68 samples/sec Train-Accuracy=0.847143
2016-09-27 16:30:13,873 Epoch[9] Batch [6400] Speed: 10.64 samples/sec Train-Accuracy=0.834286
2016-09-27 16:30:51,386 Epoch[9] Batch [6450] Speed: 10.66 samples/sec Train-Accuracy=0.851429
2016-09-27 16:31:28,745 Epoch[9] Batch [6500] Speed: 10.71 samples/sec Train-Accuracy=0.837143
2016-09-27 16:32:08,023 Epoch[9] Batch [6550] Speed: 10.18 samples/sec Train-Accuracy=0.837143
2016-09-27 16:32:44,722 Epoch[9] Batch [6600] Speed: 10.90 samples/sec Train-Accuracy=0.832857
2016-09-27 16:33:21,443 Epoch[9] Batch [6650] Speed: 10.89 samples/sec Train-Accuracy=0.847143
2016-09-27 16:33:57,818 Epoch[9] Batch [6700] Speed: 11.00 samples/sec Train-Accuracy=0.871429
2016-09-27 16:34:34,030 Epoch[9] Batch [6750] Speed: 11.05 samples/sec Train-Accuracy=0.831429
2016-09-27 16:35:10,406 Epoch[9] Batch [6800] Speed: 11.00 samples/sec Train-Accuracy=0.840000
2016-09-27 16:35:46,674 Epoch[9] Batch [6850] Speed: 11.03 samples/sec Train-Accuracy=0.851429
2016-09-27 16:36:22,862 Epoch[9] Batch [6900] Speed: 11.05 samples/sec Train-Accuracy=0.815714
2016-09-27 16:36:59,140 Epoch[9] Batch [6950] Speed: 11.03 samples/sec Train-Accuracy=0.874286
2016-09-27 16:37:35,458 Epoch[9] Batch [7000] Speed: 11.01 samples/sec Train-Accuracy=0.824286
2016-09-27 16:38:11,960 Epoch[9] Batch [7050] Speed: 10.96 samples/sec Train-Accuracy=0.850000
2016-09-27 16:38:48,182 Epoch[9] Batch [7100] Speed: 11.04 samples/sec Train-Accuracy=0.850000
2016-09-27 16:39:24,414 Epoch[9] Batch [7150] Speed: 11.04 samples/sec Train-Accuracy=0.832857
2016-09-27 16:40:02,462 Epoch[9] Batch [7200] Speed: 10.51 samples/sec Train-Accuracy=0.841429
2016-09-27 16:40:39,734 Epoch[9] Batch [7250] Speed: 10.73 samples/sec Train-Accuracy=0.838571
2016-09-27 16:41:16,946 Epoch[9] Batch [7300] Speed: 10.75 samples/sec Train-Accuracy=0.808571
2016-09-27 16:41:54,023 Epoch[9] Batch [7350] Speed: 10.79 samples/sec Train-Accuracy=0.808571
2016-09-27 16:42:31,516 Epoch[9] Batch [7400] Speed: 10.67 samples/sec Train-Accuracy=0.852857
2016-09-27 16:43:09,263 Epoch[9] Batch [7450] Speed: 10.60 samples/sec Train-Accuracy=0.841429
2016-09-27 16:43:46,826 Epoch[9] Batch [7500] Speed: 10.65 samples/sec Train-Accuracy=0.840000
2016-09-27 16:44:23,695 Epoch[9] Batch [7550] Speed: 10.85 samples/sec Train-Accuracy=0.854286
2016-09-27 16:45:00,897 Epoch[9] Batch [7600] Speed: 10.75 samples/sec Train-Accuracy=0.824286
2016-09-27 16:45:37,122 Epoch[9] Batch [7650] Speed: 11.04 samples/sec Train-Accuracy=0.835714
2016-09-27 16:46:13,464 Epoch[9] Batch [7700] Speed: 11.01 samples/sec Train-Accuracy=0.822857
2016-09-27 16:46:49,662 Epoch[9] Batch [7750] Speed: 11.05 samples/sec Train-Accuracy=0.861429
2016-09-27 16:47:25,880 Epoch[9] Batch [7800] Speed: 11.04 samples/sec Train-Accuracy=0.875714
2016-09-27 16:48:02,021 Epoch[9] Batch [7850] Speed: 11.07 samples/sec Train-Accuracy=0.887143
2016-09-27 16:48:38,334 Epoch[9] Batch [7900] Speed: 11.02 samples/sec Train-Accuracy=0.858571
2016-09-27 16:49:14,738 Epoch[9] Batch [7950] Speed: 10.99 samples/sec Train-Accuracy=0.870000
2016-09-27 16:49:54,196 Epoch[9] Batch [8000] Speed: 10.14 samples/sec Train-Accuracy=0.885714
2016-09-27 16:50:31,948 Epoch[9] Batch [8050] Speed: 10.60 samples/sec Train-Accuracy=0.825714
2016-09-27 16:51:08,235 Epoch[9] Batch [8100] Speed: 11.02 samples/sec Train-Accuracy=0.844286
2016-09-27 16:51:44,461 Epoch[9] Batch [8150] Speed: 11.04 samples/sec Train-Accuracy=0.842857
2016-09-27 16:52:20,714 Epoch[9] Batch [8200] Speed: 11.03 samples/sec Train-Accuracy=0.820000
2016-09-27 16:52:56,895 Epoch[9] Batch [8250] Speed: 11.06 samples/sec Train-Accuracy=0.834286
2016-09-27 16:53:33,035 Epoch[9] Batch [8300] Speed: 11.07 samples/sec Train-Accuracy=0.861429
2016-09-27 16:54:09,366 Epoch[9] Batch [8350] Speed: 11.01 samples/sec Train-Accuracy=0.840000
2016-09-27 16:54:49,086 Epoch[9] Batch [8400] Speed: 10.07 samples/sec Train-Accuracy=0.822857
2016-09-27 16:55:28,636 Epoch[9] Batch [8450] Speed: 10.11 samples/sec Train-Accuracy=0.842857
2016-09-27 16:56:07,698 Epoch[9] Batch [8500] Speed: 10.24 samples/sec Train-Accuracy=0.848571
2016-09-27 16:56:46,885 Epoch[9] Batch [8550] Speed: 10.21 samples/sec Train-Accuracy=0.858571
2016-09-27 16:57:28,446 Epoch[9] Batch [8600] Speed: 9.62 samples/sec Train-Accuracy=0.841429
2016-09-27 16:58:09,560 Epoch[9] Batch [8650] Speed: 9.73 samples/sec Train-Accuracy=0.861429
2016-09-27 16:58:45,904 Epoch[9] Batch [8700] Speed: 11.01 samples/sec Train-Accuracy=0.831429
2016-09-27 16:59:22,080 Epoch[9] Batch [8750] Speed: 11.06 samples/sec Train-Accuracy=0.835714
2016-09-27 16:59:58,333 Epoch[9] Batch [8800] Speed: 11.03 samples/sec Train-Accuracy=0.834286
2016-09-27 17:00:34,471 Epoch[9] Batch [8850] Speed: 11.07 samples/sec Train-Accuracy=0.815714
2016-09-27 17:01:11,939 Epoch[9] Batch [8900] Speed: 10.68 samples/sec Train-Accuracy=0.845714
2016-09-27 17:01:50,770 Epoch[9] Batch [8950] Speed: 10.30 samples/sec Train-Accuracy=0.830000
2016-09-27 17:02:26,931 Epoch[9] Batch [9000] Speed: 11.06 samples/sec Train-Accuracy=0.837143
2016-09-27 17:03:03,096 Epoch[9] Batch [9050] Speed: 11.06 samples/sec Train-Accuracy=0.858571
2016-09-27 17:03:39,294 Epoch[9] Batch [9100] Speed: 11.05 samples/sec Train-Accuracy=0.845714
2016-09-27 17:04:15,555 Epoch[9] Batch [9150] Speed: 11.03 samples/sec Train-Accuracy=0.851429
2016-09-27 17:04:52,090 Epoch[9] Batch [9200] Speed: 10.95 samples/sec Train-Accuracy=0.831429
2016-09-27 17:05:29,032 Epoch[9] Batch [9250] Speed: 10.83 samples/sec Train-Accuracy=0.841429
2016-09-27 17:06:08,883 Epoch[9] Batch [9300] Speed: 10.04 samples/sec Train-Accuracy=0.861429
2016-09-27 17:06:48,833 Epoch[9] Batch [9350] Speed: 10.01 samples/sec Train-Accuracy=0.854286
2016-09-27 17:07:27,939 Epoch[9] Batch [9400] Speed: 10.23 samples/sec Train-Accuracy=0.848571
2016-09-27 17:08:05,290 Epoch[9] Batch [9450] Speed: 10.71 samples/sec Train-Accuracy=0.834286
2016-09-27 17:08:45,068 Epoch[9] Batch [9500] Speed: 10.06 samples/sec Train-Accuracy=0.852857
2016-09-27 17:09:22,740 Epoch[9] Batch [9550] Speed: 10.62 samples/sec Train-Accuracy=0.837143
2016-09-27 17:10:00,693 Epoch[9] Batch [9600] Speed: 10.54 samples/sec Train-Accuracy=0.847143
2016-09-27 17:10:38,392 Epoch[9] Batch [9650] Speed: 10.61 samples/sec Train-Accuracy=0.871429
2016-09-27 17:11:16,923 Epoch[9] Batch [9700] Speed: 10.38 samples/sec Train-Accuracy=0.844286
2016-09-27 17:11:54,521 Epoch[9] Batch [9750] Speed: 10.64 samples/sec Train-Accuracy=0.864286
2016-09-27 17:12:33,576 Epoch[9] Batch [9800] Speed: 10.24 samples/sec Train-Accuracy=0.832857
2016-09-27 17:13:14,164 Epoch[9] Batch [9850] Speed: 9.86 samples/sec Train-Accuracy=0.858571
2016-09-27 17:13:51,101 Epoch[9] Batch [9900] Speed: 10.83 samples/sec Train-Accuracy=0.840000
2016-09-27 17:14:27,285 Epoch[9] Batch [9950] Speed: 11.05 samples/sec Train-Accuracy=0.858571
2016-09-27 17:15:03,521 Epoch[9] Batch [10000] Speed: 11.04 samples/sec Train-Accuracy=0.835714
2016-09-27 17:15:39,757 Epoch[9] Batch [10050] Speed: 11.04 samples/sec Train-Accuracy=0.820000
2016-09-27 17:16:15,747 Epoch[9] Batch [10100] Speed: 11.11 samples/sec Train-Accuracy=0.840000
2016-09-27 17:16:53,525 Epoch[9] Batch [10150] Speed: 10.59 samples/sec Train-Accuracy=0.832857
2016-09-27 17:17:34,486 Epoch[9] Batch [10200] Speed: 9.77 samples/sec Train-Accuracy=0.861429
2016-09-27 17:18:10,866 Epoch[9] Batch [10250] Speed: 11.00 samples/sec Train-Accuracy=0.855714
2016-09-27 17:18:46,982 Epoch[9] Batch [10300] Speed: 11.08 samples/sec Train-Accuracy=0.831429
2016-09-27 17:19:23,045 Epoch[9] Batch [10350] Speed: 11.09 samples/sec Train-Accuracy=0.847143
2016-09-27 17:19:59,179 Epoch[9] Batch [10400] Speed: 11.07 samples/sec Train-Accuracy=0.832857
2016-09-27 17:20:35,252 Epoch[9] Batch [10450] Speed: 11.09 samples/sec Train-Accuracy=0.858571
2016-09-27 17:21:11,379 Epoch[9] Batch [10500] Speed: 11.07 samples/sec Train-Accuracy=0.832857
2016-09-27 17:21:47,392 Epoch[9] Batch [10550] Speed: 11.11 samples/sec Train-Accuracy=0.860000
2016-09-27 17:22:23,414 Epoch[9] Batch [10600] Speed: 11.10 samples/sec Train-Accuracy=0.867143
2016-09-27 17:22:59,449 Epoch[9] Batch [10650] Speed: 11.10 samples/sec Train-Accuracy=0.861429
2016-09-27 17:23:35,567 Epoch[9] Batch [10700] Speed: 11.07 samples/sec Train-Accuracy=0.830000
2016-09-27 17:24:11,670 Epoch[9] Batch [10750] Speed: 11.08 samples/sec Train-Accuracy=0.834286
2016-09-27 17:24:47,719 Epoch[9] Batch [10800] Speed: 11.10 samples/sec Train-Accuracy=0.838571
2016-09-27 17:25:23,678 Epoch[9] Batch [10850] Speed: 11.12 samples/sec Train-Accuracy=0.861429
2016-09-27 17:25:59,679 Epoch[9] Batch [10900] Speed: 11.11 samples/sec Train-Accuracy=0.848571
2016-09-27 17:26:36,098 Epoch[9] Batch [10950] Speed: 10.98 samples/sec Train-Accuracy=0.841429
2016-09-27 17:27:13,086 Epoch[9] Batch [11000] Speed: 10.81 samples/sec Train-Accuracy=0.845714
2016-09-27 17:27:50,456 Epoch[9] Batch [11050] Speed: 10.70 samples/sec Train-Accuracy=0.837143
2016-09-27 17:28:28,635 Epoch[9] Batch [11100] Speed: 10.48 samples/sec Train-Accuracy=0.884286
2016-09-27 17:29:05,860 Epoch[9] Batch [11150] Speed: 10.75 samples/sec Train-Accuracy=0.870000
2016-09-27 17:29:41,908 Epoch[9] Batch [11200] Speed: 11.10 samples/sec Train-Accuracy=0.817143
2016-09-27 17:30:17,930 Epoch[9] Batch [11250] Speed: 11.10 samples/sec Train-Accuracy=0.815714
2016-09-27 17:30:53,989 Epoch[9] Batch [11300] Speed: 11.09 samples/sec Train-Accuracy=0.874286
2016-09-27 17:31:30,001 Epoch[9] Batch [11350] Speed: 11.11 samples/sec Train-Accuracy=0.864286
2016-09-27 17:32:08,570 Epoch[9] Batch [11400] Speed: 10.37 samples/sec Train-Accuracy=0.840000
2016-09-27 17:32:46,218 Epoch[9] Batch [11450] Speed: 10.62 samples/sec Train-Accuracy=0.868571
2016-09-27 17:33:23,643 Epoch[9] Batch [11500] Speed: 10.69 samples/sec Train-Accuracy=0.847143
2016-09-27 17:34:00,280 Epoch[9] Batch [11550] Speed: 10.92 samples/sec Train-Accuracy=0.845714
2016-09-27 17:34:40,247 Epoch[9] Batch [11600] Speed: 10.01 samples/sec Train-Accuracy=0.837143
2016-09-27 17:35:17,855 Epoch[9] Batch [11650] Speed: 10.64 samples/sec Train-Accuracy=0.842857
2016-09-27 17:35:54,413 Epoch[9] Batch [11700] Speed: 10.94 samples/sec Train-Accuracy=0.837143
2016-09-27 17:36:30,960 Epoch[9] Batch [11750] Speed: 10.94 samples/sec Train-Accuracy=0.815714
2016-09-27 17:37:07,779 Epoch[9] Batch [11800] Speed: 10.86 samples/sec Train-Accuracy=0.857143
2016-09-27 17:37:45,604 Epoch[9] Batch [11850] Speed: 10.57 samples/sec Train-Accuracy=0.828571
2016-09-27 17:38:22,353 Epoch[9] Batch [11900] Speed: 10.88 samples/sec Train-Accuracy=0.847143
2016-09-27 17:38:58,961 Epoch[9] Batch [11950] Speed: 10.93 samples/sec Train-Accuracy=0.874286
2016-09-27 17:39:35,646 Epoch[9] Batch [12000] Speed: 10.90 samples/sec Train-Accuracy=0.844286
2016-09-27 17:40:12,338 Epoch[9] Batch [12050] Speed: 10.90 samples/sec Train-Accuracy=0.828571
2016-09-27 17:40:48,907 Epoch[9] Batch [12100] Speed: 10.94 samples/sec Train-Accuracy=0.855714
2016-09-27 17:41:25,574 Epoch[9] Batch [12150] Speed: 10.91 samples/sec Train-Accuracy=0.842857
2016-09-27 17:42:02,283 Epoch[9] Batch [12200] Speed: 10.90 samples/sec Train-Accuracy=0.841429
2016-09-27 17:42:38,945 Epoch[9] Batch [12250] Speed: 10.91 samples/sec Train-Accuracy=0.870000
2016-09-27 17:43:15,492 Epoch[9] Batch [12300] Speed: 10.94 samples/sec Train-Accuracy=0.835714
2016-09-27 17:43:52,533 Epoch[9] Batch [12350] Speed: 10.80 samples/sec Train-Accuracy=0.844286
2016-09-27 17:44:30,231 Epoch[9] Batch [12400] Speed: 10.61 samples/sec Train-Accuracy=0.834286
2016-09-27 17:45:07,130 Epoch[9] Batch [12450] Speed: 10.84 samples/sec Train-Accuracy=0.865714
2016-09-27 17:45:43,839 Epoch[9] Batch [12500] Speed: 10.90 samples/sec Train-Accuracy=0.822857
2016-09-27 17:46:20,503 Epoch[9] Batch [12550] Speed: 10.91 samples/sec Train-Accuracy=0.840000
2016-09-27 17:46:57,325 Epoch[9] Batch [12600] Speed: 10.86 samples/sec Train-Accuracy=0.888571
2016-09-27 17:47:34,002 Epoch[9] Batch [12650] Speed: 10.91 samples/sec Train-Accuracy=0.872857
2016-09-27 17:48:13,121 Epoch[9] Batch [12700] Speed: 10.23 samples/sec Train-Accuracy=0.851429
2016-09-27 17:48:49,889 Epoch[9] Batch [12750] Speed: 10.88 samples/sec Train-Accuracy=0.842857
2016-09-27 17:49:26,611 Epoch[9] Batch [12800] Speed: 10.89 samples/sec Train-Accuracy=0.852857
2016-09-27 17:50:03,176 Epoch[9] Batch [12850] Speed: 10.94 samples/sec Train-Accuracy=0.840000
2016-09-27 17:50:39,748 Epoch[9] Batch [12900] Speed: 10.94 samples/sec Train-Accuracy=0.842857
2016-09-27 17:51:16,310 Epoch[9] Batch [12950] Speed: 10.94 samples/sec Train-Accuracy=0.874286
2016-09-27 17:51:53,024 Epoch[9] Batch [13000] Speed: 10.90 samples/sec Train-Accuracy=0.842857
2016-09-27 17:52:29,717 Epoch[9] Batch [13050] Speed: 10.90 samples/sec Train-Accuracy=0.854286
2016-09-27 17:53:06,462 Epoch[9] Batch [13100] Speed: 10.89 samples/sec Train-Accuracy=0.814286
2016-09-27 17:53:43,177 Epoch[9] Batch [13150] Speed: 10.89 samples/sec Train-Accuracy=0.840000
2016-09-27 17:54:19,891 Epoch[9] Batch [13200] Speed: 10.90 samples/sec Train-Accuracy=0.858571
2016-09-27 17:54:56,567 Epoch[9] Batch [13250] Speed: 10.91 samples/sec Train-Accuracy=0.831429
2016-09-27 17:55:33,437 Epoch[9] Batch [13300] Speed: 10.85 samples/sec Train-Accuracy=0.821429
2016-09-27 17:56:10,181 Epoch[9] Batch [13350] Speed: 10.89 samples/sec Train-Accuracy=0.847143
2016-09-27 17:56:46,835 Epoch[9] Batch [13400] Speed: 10.91 samples/sec Train-Accuracy=0.864286
2016-09-27 17:57:23,618 Epoch[9] Batch [13450] Speed: 10.87 samples/sec Train-Accuracy=0.858571
2016-09-27 17:58:00,349 Epoch[9] Batch [13500] Speed: 10.89 samples/sec Train-Accuracy=0.828571
2016-09-27 17:58:37,088 Epoch[9] Batch [13550] Speed: 10.89 samples/sec Train-Accuracy=0.854286
2016-09-27 17:59:13,980 Epoch[9] Batch [13600] Speed: 10.84 samples/sec Train-Accuracy=0.844286
2016-09-27 17:59:50,843 Epoch[9] Batch [13650] Speed: 10.85 samples/sec Train-Accuracy=0.825714
2016-09-27 18:00:27,631 Epoch[9] Batch [13700] Speed: 10.87 samples/sec Train-Accuracy=0.878571
2016-09-27 18:01:04,505 Epoch[9] Batch [13750] Speed: 10.85 samples/sec Train-Accuracy=0.828571
2016-09-27 18:01:41,491 Epoch[9] Batch [13800] Speed: 10.82 samples/sec Train-Accuracy=0.831429
2016-09-27 18:02:18,437 Epoch[9] Batch [13850] Speed: 10.83 samples/sec Train-Accuracy=0.838571
2016-09-27 18:02:55,252 Epoch[9] Batch [13900] Speed: 10.87 samples/sec Train-Accuracy=0.825714
2016-09-27 18:03:36,001 Epoch[9] Batch [13950] Speed: 9.82 samples/sec Train-Accuracy=0.840000
2016-09-27 18:04:16,659 Epoch[9] Batch [14000] Speed: 9.84 samples/sec Train-Accuracy=0.874286
2016-09-27 18:04:56,779 Epoch[9] Batch [14050] Speed: 9.97 samples/sec Train-Accuracy=0.847143
2016-09-27 18:05:36,877 Epoch[9] Batch [14100] Speed: 9.98 samples/sec Train-Accuracy=0.855714
2016-09-27 18:06:14,815 Epoch[9] Batch [14150] Speed: 10.54 samples/sec Train-Accuracy=0.827143
2016-09-27 18:06:52,531 Epoch[9] Batch [14200] Speed: 10.61 samples/sec Train-Accuracy=0.851429
2016-09-27 18:07:30,675 Epoch[9] Batch [14250] Speed: 10.49 samples/sec Train-Accuracy=0.861429
2016-09-27 18:08:09,095 Epoch[9] Batch [14300] Speed: 10.41 samples/sec Train-Accuracy=0.812857
2016-09-27 18:08:46,679 Epoch[9] Batch [14350] Speed: 10.64 samples/sec Train-Accuracy=0.877143
2016-09-27 18:09:24,357 Epoch[9] Batch [14400] Speed: 10.62 samples/sec Train-Accuracy=0.850000
2016-09-27 18:10:02,116 Epoch[9] Batch [14450] Speed: 10.59 samples/sec Train-Accuracy=0.848571
2016-09-27 18:10:40,231 Epoch[9] Batch [14500] Speed: 10.49 samples/sec Train-Accuracy=0.862857
2016-09-27 18:11:18,760 Epoch[9] Batch [14550] Speed: 10.38 samples/sec Train-Accuracy=0.861429
2016-09-27 18:11:58,137 Epoch[9] Batch [14600] Speed: 10.16 samples/sec Train-Accuracy=0.825714
2016-09-27 18:12:37,246 Epoch[9] Batch [14650] Speed: 10.23 samples/sec Train-Accuracy=0.867143
2016-09-27 18:13:16,549 Epoch[9] Batch [14700] Speed: 10.18 samples/sec Train-Accuracy=0.854286
2016-09-27 18:13:55,739 Epoch[9] Batch [14750] Speed: 10.21 samples/sec Train-Accuracy=0.814286
2016-09-27 18:14:34,965 Epoch[9] Batch [14800] Speed: 10.20 samples/sec Train-Accuracy=0.810000
2016-09-27 18:15:13,638 Epoch[9] Batch [14850] Speed: 10.34 samples/sec Train-Accuracy=0.875714
2016-09-27 18:15:52,239 Epoch[9] Batch [14900] Speed: 10.36 samples/sec Train-Accuracy=0.852857
2016-09-27 18:16:31,555 Epoch[9] Batch [14950] Speed: 10.17 samples/sec Train-Accuracy=0.848571
2016-09-27 18:17:11,664 Epoch[9] Batch [15000] Speed: 9.97 samples/sec Train-Accuracy=0.842857
2016-09-27 18:17:50,276 Epoch[9] Batch [15050] Speed: 10.36 samples/sec Train-Accuracy=0.841429
2016-09-27 18:18:30,276 Epoch[9] Batch [15100] Speed: 10.00 samples/sec Train-Accuracy=0.854286
2016-09-27 18:19:10,974 Epoch[9] Batch [15150] Speed: 9.83 samples/sec Train-Accuracy=0.828571
2016-09-27 18:19:49,930 Epoch[9] Batch [15200] Speed: 10.27 samples/sec Train-Accuracy=0.822857
2016-09-27 18:20:27,519 Epoch[9] Batch [15250] Speed: 10.64 samples/sec Train-Accuracy=0.835714
2016-09-27 18:21:06,887 Epoch[9] Batch [15300] Speed: 10.16 samples/sec Train-Accuracy=0.841429
2016-09-27 18:21:45,601 Epoch[9] Batch [15350] Speed: 10.33 samples/sec Train-Accuracy=0.804286
2016-09-27 18:22:23,014 Epoch[9] Batch [15400] Speed: 10.69 samples/sec Train-Accuracy=0.831429
2016-09-27 18:23:00,625 Epoch[9] Batch [15450] Speed: 10.64 samples/sec Train-Accuracy=0.862857
2016-09-27 18:23:38,345 Epoch[9] Batch [15500] Speed: 10.60 samples/sec Train-Accuracy=0.840000
2016-09-27 18:24:16,154 Epoch[9] Batch [15550] Speed: 10.58 samples/sec Train-Accuracy=0.824286
2016-09-27 18:24:54,497 Epoch[9] Batch [15600] Speed: 10.43 samples/sec Train-Accuracy=0.871429
2016-09-27 18:25:33,083 Epoch[9] Batch [15650] Speed: 10.37 samples/sec Train-Accuracy=0.865714
2016-09-27 18:26:11,656 Epoch[9] Batch [15700] Speed: 10.37 samples/sec Train-Accuracy=0.827143
2016-09-27 18:26:50,671 Epoch[9] Batch [15750] Speed: 10.25 samples/sec Train-Accuracy=0.835714
2016-09-27 18:27:29,738 Epoch[9] Batch [15800] Speed: 10.24 samples/sec Train-Accuracy=0.865714
2016-09-27 18:28:08,220 Epoch[9] Batch [15850] Speed: 10.39 samples/sec Train-Accuracy=0.864286
2016-09-27 18:28:45,775 Epoch[9] Batch [15900] Speed: 10.65 samples/sec Train-Accuracy=0.844286
2016-09-27 18:29:23,194 Epoch[9] Batch [15950] Speed: 10.69 samples/sec Train-Accuracy=0.844286
2016-09-27 18:30:00,659 Epoch[9] Batch [16000] Speed: 10.68 samples/sec Train-Accuracy=0.842857
2016-09-27 18:30:38,111 Epoch[9] Batch [16050] Speed: 10.68 samples/sec Train-Accuracy=0.841429
2016-09-27 18:31:15,700 Epoch[9] Batch [16100] Speed: 10.64 samples/sec Train-Accuracy=0.834286
2016-09-27 18:31:53,284 Epoch[9] Batch [16150] Speed: 10.64 samples/sec Train-Accuracy=0.852857
2016-09-27 18:32:30,813 Epoch[9] Batch [16200] Speed: 10.66 samples/sec Train-Accuracy=0.832857
2016-09-27 18:33:09,556 Epoch[9] Batch [16250] Speed: 10.32 samples/sec Train-Accuracy=0.862857
2016-09-27 18:33:50,461 Epoch[9] Batch [16300] Speed: 9.78 samples/sec Train-Accuracy=0.840000
2016-09-27 18:34:30,285 Epoch[9] Batch [16350] Speed: 10.04 samples/sec Train-Accuracy=0.847143
2016-09-27 18:35:09,392 Epoch[9] Batch [16400] Speed: 10.23 samples/sec Train-Accuracy=0.857143
2016-09-27 18:35:48,339 Epoch[9] Batch [16450] Speed: 10.27 samples/sec Train-Accuracy=0.827143
2016-09-27 18:36:25,971 Epoch[9] Batch [16500] Speed: 10.63 samples/sec Train-Accuracy=0.860000
2016-09-27 18:37:03,300 Epoch[9] Batch [16550] Speed: 10.72 samples/sec Train-Accuracy=0.818571
2016-09-27 18:37:40,746 Epoch[9] Batch [16600] Speed: 10.68 samples/sec Train-Accuracy=0.890000
2016-09-27 18:38:16,924 Epoch[9] Batch [16650] Speed: 11.06 samples/sec Train-Accuracy=0.838571
2016-09-27 18:38:53,072 Epoch[9] Batch [16700] Speed: 11.07 samples/sec Train-Accuracy=0.824286
2016-09-27 18:39:29,778 Epoch[9] Batch [16750] Speed: 10.90 samples/sec Train-Accuracy=0.850000
2016-09-27 18:40:07,366 Epoch[9] Batch [16800] Speed: 10.64 samples/sec Train-Accuracy=0.835714
2016-09-27 18:40:44,716 Epoch[9] Batch [16850] Speed: 10.71 samples/sec Train-Accuracy=0.868571
2016-09-27 18:41:21,909 Epoch[9] Batch [16900] Speed: 10.76 samples/sec Train-Accuracy=0.837143
2016-09-27 18:41:58,569 Epoch[9] Batch [16950] Speed: 10.91 samples/sec Train-Accuracy=0.860000
2016-09-27 18:42:34,690 Epoch[9] Batch [17000] Speed: 11.07 samples/sec Train-Accuracy=0.838571
2016-09-27 18:43:11,214 Epoch[9] Batch [17050] Speed: 10.95 samples/sec Train-Accuracy=0.837143
2016-09-27 18:43:48,450 Epoch[9] Batch [17100] Speed: 10.74 samples/sec Train-Accuracy=0.867143
2016-09-27 18:44:25,666 Epoch[9] Batch [17150] Speed: 10.75 samples/sec Train-Accuracy=0.864286
2016-09-27 18:45:03,760 Epoch[9] Batch [17200] Speed: 10.50 samples/sec Train-Accuracy=0.857143
2016-09-27 18:45:41,451 Epoch[9] Batch [17250] Speed: 10.61 samples/sec Train-Accuracy=0.850000
2016-09-27 18:46:21,158 Epoch[9] Batch [17300] Speed: 10.07 samples/sec Train-Accuracy=0.855714
2016-09-27 18:46:59,268 Epoch[9] Batch [17350] Speed: 10.50 samples/sec Train-Accuracy=0.850000
2016-09-27 18:47:38,480 Epoch[9] Batch [17400] Speed: 10.20 samples/sec Train-Accuracy=0.841429
2016-09-27 18:48:16,477 Epoch[9] Batch [17450] Speed: 10.53 samples/sec Train-Accuracy=0.865714
2016-09-27 18:48:54,401 Epoch[9] Batch [17500] Speed: 10.55 samples/sec Train-Accuracy=0.835714
2016-09-27 18:49:31,989 Epoch[9] Batch [17550] Speed: 10.64 samples/sec Train-Accuracy=0.857143
2016-09-27 18:50:08,399 Epoch[9] Batch [17600] Speed: 10.99 samples/sec Train-Accuracy=0.847143
2016-09-27 18:50:44,671 Epoch[9] Batch [17650] Speed: 11.03 samples/sec Train-Accuracy=0.838571
2016-09-27 18:51:22,236 Epoch[9] Batch [17700] Speed: 10.65 samples/sec Train-Accuracy=0.847143
2016-09-27 18:51:59,492 Epoch[9] Batch [17750] Speed: 10.74 samples/sec Train-Accuracy=0.830000
2016-09-27 18:52:35,482 Epoch[9] Batch [17800] Speed: 11.11 samples/sec Train-Accuracy=0.810000
2016-09-27 18:53:11,404 Epoch[9] Batch [17850] Speed: 11.14 samples/sec Train-Accuracy=0.862857
2016-09-27 18:53:47,423 Epoch[9] Batch [17900] Speed: 11.11 samples/sec Train-Accuracy=0.812857
2016-09-27 18:54:23,430 Epoch[9] Batch [17950] Speed: 11.11 samples/sec Train-Accuracy=0.855714
2016-09-27 18:54:59,528 Epoch[9] Batch [18000] Speed: 11.08 samples/sec Train-Accuracy=0.851429
2016-09-27 18:55:37,429 Epoch[9] Batch [18050] Speed: 10.55 samples/sec Train-Accuracy=0.815714
2016-09-27 18:56:13,802 Epoch[9] Batch [18100] Speed: 11.00 samples/sec Train-Accuracy=0.844286
2016-09-27 18:56:50,073 Epoch[9] Batch [18150] Speed: 11.03 samples/sec Train-Accuracy=0.862857
2016-09-27 18:57:26,240 Epoch[9] Batch [18200] Speed: 11.06 samples/sec Train-Accuracy=0.848571
2016-09-27 18:58:03,151 Epoch[9] Batch [18250] Speed: 10.84 samples/sec Train-Accuracy=0.860000
2016-09-27 18:58:40,370 Epoch[9] Batch [18300] Speed: 10.75 samples/sec Train-Accuracy=0.850000
2016-09-27 18:59:17,842 Epoch[9] Batch [18350] Speed: 10.67 samples/sec Train-Accuracy=0.855714
2016-09-27 18:59:55,524 Epoch[9] Batch [18400] Speed: 10.62 samples/sec Train-Accuracy=0.817143
2016-09-27 19:00:32,918 Epoch[9] Batch [18450] Speed: 10.70 samples/sec Train-Accuracy=0.852857
2016-09-27 19:01:09,645 Epoch[9] Batch [18500] Speed: 10.89 samples/sec Train-Accuracy=0.847143
2016-09-27 19:01:46,838 Epoch[9] Batch [18550] Speed: 10.75 samples/sec Train-Accuracy=0.848571
2016-09-27 19:02:24,137 Epoch[9] Batch [18600] Speed: 10.72 samples/sec Train-Accuracy=0.851429
2016-09-27 19:03:00,832 Epoch[9] Batch [18650] Speed: 10.90 samples/sec Train-Accuracy=0.857143
2016-09-27 19:03:37,212 Epoch[9] Batch [18700] Speed: 11.00 samples/sec Train-Accuracy=0.835714
2016-09-27 19:04:13,620 Epoch[9] Batch [18750] Speed: 10.99 samples/sec Train-Accuracy=0.874286
2016-09-27 19:04:49,935 Epoch[9] Batch [18800] Speed: 11.01 samples/sec Train-Accuracy=0.842857
2016-09-27 19:05:28,415 Epoch[9] Batch [18850] Speed: 10.40 samples/sec Train-Accuracy=0.855714
2016-09-27 19:06:04,542 Epoch[9] Batch [18900] Speed: 11.07 samples/sec Train-Accuracy=0.832857
2016-09-27 19:06:40,667 Epoch[9] Batch [18950] Speed: 11.07 samples/sec Train-Accuracy=0.842857
2016-09-27 19:07:16,727 Epoch[9] Batch [19000] Speed: 11.09 samples/sec Train-Accuracy=0.792857
2016-09-27 19:07:52,798 Epoch[9] Batch [19050] Speed: 11.09 samples/sec Train-Accuracy=0.855714
2016-09-27 19:08:28,887 Epoch[9] Batch [19100] Speed: 11.08 samples/sec Train-Accuracy=0.874286
2016-09-27 19:09:04,980 Epoch[9] Batch [19150] Speed: 11.08 samples/sec Train-Accuracy=0.877143
2016-09-27 19:09:41,101 Epoch[9] Batch [19200] Speed: 11.07 samples/sec Train-Accuracy=0.842857
2016-09-27 19:10:18,144 Epoch[9] Batch [19250] Speed: 10.80 samples/sec Train-Accuracy=0.864286
2016-09-27 19:10:55,676 Epoch[9] Batch [19300] Speed: 10.66 samples/sec Train-Accuracy=0.831429
2016-09-27 19:11:33,261 Epoch[9] Batch [19350] Speed: 10.64 samples/sec Train-Accuracy=0.862857
2016-09-27 19:12:10,901 Epoch[9] Batch [19400] Speed: 10.63 samples/sec Train-Accuracy=0.880000
2016-09-27 19:12:48,675 Epoch[9] Batch [19450] Speed: 10.59 samples/sec Train-Accuracy=0.845714
2016-09-27 19:13:26,494 Epoch[9] Batch [19500] Speed: 10.58 samples/sec Train-Accuracy=0.837143
2016-09-27 19:14:04,196 Epoch[9] Batch [19550] Speed: 10.61 samples/sec Train-Accuracy=0.868571
2016-09-27 19:14:41,023 Epoch[9] Batch [19600] Speed: 10.86 samples/sec Train-Accuracy=0.871429
2016-09-27 19:15:17,228 Epoch[9] Batch [19650] Speed: 11.05 samples/sec Train-Accuracy=0.870000
2016-09-27 19:15:53,432 Epoch[9] Batch [19700] Speed: 11.05 samples/sec Train-Accuracy=0.845714
2016-09-27 19:16:29,785 Epoch[9] Batch [19750] Speed: 11.00 samples/sec Train-Accuracy=0.830000
2016-09-27 19:17:05,888 Epoch[9] Batch [19800] Speed: 11.08 samples/sec Train-Accuracy=0.864286
2016-09-27 19:17:41,946 Epoch[9] Batch [19850] Speed: 11.09 samples/sec Train-Accuracy=0.854286
2016-09-27 19:18:17,959 Epoch[9] Batch [19900] Speed: 11.11 samples/sec Train-Accuracy=0.864286
2016-09-27 19:18:54,017 Epoch[9] Batch [19950] Speed: 11.09 samples/sec Train-Accuracy=0.842857
2016-09-27 19:19:30,081 Epoch[9] Batch [20000] Speed: 11.09 samples/sec Train-Accuracy=0.857143
2016-09-27 19:20:06,070 Epoch[9] Batch [20050] Speed: 11.11 samples/sec Train-Accuracy=0.842857
2016-09-27 19:20:42,127 Epoch[9] Batch [20100] Speed: 11.09 samples/sec Train-Accuracy=0.841429
2016-09-27 19:21:18,082 Epoch[9] Batch [20150] Speed: 11.13 samples/sec Train-Accuracy=0.850000
2016-09-27 19:21:54,046 Epoch[9] Batch [20200] Speed: 11.12 samples/sec Train-Accuracy=0.851429
2016-09-27 19:22:30,002 Epoch[9] Batch [20250] Speed: 11.12 samples/sec Train-Accuracy=0.845714
2016-09-27 19:23:05,951 Epoch[9] Batch [20300] Speed: 11.13 samples/sec Train-Accuracy=0.892857
2016-09-27 19:23:41,994 Epoch[9] Batch [20350] Speed: 11.10 samples/sec Train-Accuracy=0.864286
2016-09-27 19:24:18,158 Epoch[9] Batch [20400] Speed: 11.06 samples/sec Train-Accuracy=0.820000
2016-09-27 19:25:00,756 Epoch[9] Batch [20450] Speed: 9.39 samples/sec Train-Accuracy=0.830000
2016-09-27 19:25:38,740 Epoch[9] Batch [20500] Speed: 10.53 samples/sec Train-Accuracy=0.868571
2016-09-27 19:26:15,035 Epoch[9] Batch [20550] Speed: 11.02 samples/sec Train-Accuracy=0.888571
2016-09-27 19:26:51,193 Epoch[9] Batch [20600] Speed: 11.06 samples/sec Train-Accuracy=0.845714
2016-09-27 19:27:27,321 Epoch[9] Batch [20650] Speed: 11.07 samples/sec Train-Accuracy=0.847143
2016-09-27 19:28:03,759 Epoch[9] Batch [20700] Speed: 10.98 samples/sec Train-Accuracy=0.830000
2016-09-27 19:28:42,169 Epoch[9] Batch [20750] Speed: 10.41 samples/sec Train-Accuracy=0.871429
2016-09-27 19:29:19,564 Epoch[9] Batch [20800] Speed: 10.70 samples/sec Train-Accuracy=0.851429
2016-09-27 19:29:56,719 Epoch[9] Batch [20850] Speed: 10.77 samples/sec Train-Accuracy=0.838571
2016-09-27 19:30:35,052 Epoch[9] Batch [20900] Speed: 10.43 samples/sec Train-Accuracy=0.882857
2016-09-27 19:31:11,649 Epoch[9] Batch [20950] Speed: 10.93 samples/sec Train-Accuracy=0.844286
2016-09-27 19:31:48,217 Epoch[9] Batch [21000] Speed: 10.94 samples/sec Train-Accuracy=0.837143
2016-09-27 19:32:24,839 Epoch[9] Batch [21050] Speed: 10.92 samples/sec Train-Accuracy=0.865714
2016-09-27 19:33:01,388 Epoch[9] Batch [21100] Speed: 10.94 samples/sec Train-Accuracy=0.840000
2016-09-27 19:33:39,378 Epoch[9] Batch [21150] Speed: 10.53 samples/sec Train-Accuracy=0.811429
2016-09-27 19:34:19,884 Epoch[9] Batch [21200] Speed: 9.87 samples/sec Train-Accuracy=0.851429
2016-09-27 19:34:57,802 Epoch[9] Batch [21250] Speed: 10.55 samples/sec Train-Accuracy=0.848571
2016-09-27 19:35:38,043 Epoch[9] Batch [21300] Speed: 9.94 samples/sec Train-Accuracy=0.840000
2016-09-27 19:36:16,341 Epoch[9] Batch [21350] Speed: 10.44 samples/sec Train-Accuracy=0.830000
2016-09-27 19:36:53,573 Epoch[9] Batch [21400] Speed: 10.74 samples/sec Train-Accuracy=0.837143
2016-09-27 19:37:31,282 Epoch[9] Batch [21450] Speed: 10.61 samples/sec Train-Accuracy=0.861429
2016-09-27 19:38:09,022 Epoch[9] Batch [21500] Speed: 10.60 samples/sec Train-Accuracy=0.845714
2016-09-27 19:38:46,094 Epoch[9] Batch [21550] Speed: 10.79 samples/sec Train-Accuracy=0.835714
2016-09-27 19:39:22,210 Epoch[9] Batch [21600] Speed: 11.08 samples/sec Train-Accuracy=0.851429
2016-09-27 19:39:58,319 Epoch[9] Batch [21650] Speed: 11.08 samples/sec Train-Accuracy=0.830000
2016-09-27 19:40:34,370 Epoch[9] Batch [21700] Speed: 11.10 samples/sec Train-Accuracy=0.851429
2016-09-27 19:41:10,479 Epoch[9] Batch [21750] Speed: 11.08 samples/sec Train-Accuracy=0.844286
2016-09-27 19:41:47,789 Epoch[9] Batch [21800] Speed: 10.72 samples/sec Train-Accuracy=0.847143
2016-09-27 19:42:26,093 Epoch[9] Batch [21850] Speed: 10.44 samples/sec Train-Accuracy=0.864286
2016-09-27 19:43:03,540 Epoch[9] Batch [21900] Speed: 10.68 samples/sec Train-Accuracy=0.838571
2016-09-27 19:43:40,881 Epoch[9] Batch [21950] Speed: 10.71 samples/sec Train-Accuracy=0.812857
2016-09-27 19:44:18,297 Epoch[9] Batch [22000] Speed: 10.69 samples/sec Train-Accuracy=0.831429
2016-09-27 19:44:55,618 Epoch[9] Batch [22050] Speed: 10.72 samples/sec Train-Accuracy=0.850000
2016-09-27 19:45:33,356 Epoch[9] Batch [22100] Speed: 10.60 samples/sec Train-Accuracy=0.862857
2016-09-27 19:46:10,957 Epoch[9] Batch [22150] Speed: 10.64 samples/sec Train-Accuracy=0.831429
2016-09-27 19:46:48,559 Epoch[9] Batch [22200] Speed: 10.64 samples/sec Train-Accuracy=0.857143
2016-09-27 19:47:25,678 Epoch[9] Batch [22250] Speed: 10.78 samples/sec Train-Accuracy=0.858571
2016-09-27 19:48:03,131 Epoch[9] Batch [22300] Speed: 10.68 samples/sec Train-Accuracy=0.844286
2016-09-27 19:48:43,606 Epoch[9] Batch [22350] Speed: 9.88 samples/sec Train-Accuracy=0.835714
2016-09-27 19:49:19,669 Epoch[9] Batch [22400] Speed: 11.09 samples/sec Train-Accuracy=0.835714
2016-09-27 19:49:55,690 Epoch[9] Batch [22450] Speed: 11.10 samples/sec Train-Accuracy=0.850000
2016-09-27 19:50:31,690 Epoch[9] Batch [22500] Speed: 11.11 samples/sec Train-Accuracy=0.851429
2016-09-27 19:51:07,791 Epoch[9] Batch [22550] Speed: 11.08 samples/sec Train-Accuracy=0.855714
2016-09-27 19:51:46,078 Epoch[9] Batch [22600] Speed: 10.45 samples/sec Train-Accuracy=0.828571
2016-09-27 19:52:24,909 Epoch[9] Batch [22650] Speed: 10.30 samples/sec Train-Accuracy=0.861429
2016-09-27 19:53:03,205 Epoch[9] Batch [22700] Speed: 10.45 samples/sec Train-Accuracy=0.845714
2016-09-27 19:53:41,670 Epoch[9] Batch [22750] Speed: 10.40 samples/sec Train-Accuracy=0.848571
2016-09-27 19:54:19,328 Epoch[9] Batch [22800] Speed: 10.62 samples/sec Train-Accuracy=0.817143
2016-09-27 19:54:56,934 Epoch[9] Batch [22850] Speed: 10.64 samples/sec Train-Accuracy=0.852857
2016-09-27 19:55:33,428 Epoch[9] Batch [22900] Speed: 10.96 samples/sec Train-Accuracy=0.848571
2016-09-27 19:56:09,939 Epoch[9] Batch [22950] Speed: 10.96 samples/sec Train-Accuracy=0.848571
2016-09-27 19:56:46,390 Epoch[9] Batch [23000] Speed: 10.97 samples/sec Train-Accuracy=0.835714
2016-09-27 19:57:22,973 Epoch[9] Batch [23050] Speed: 10.93 samples/sec Train-Accuracy=0.850000
2016-09-27 19:57:59,772 Epoch[9] Batch [23100] Speed: 10.87 samples/sec Train-Accuracy=0.847143
2016-09-27 19:58:36,210 Epoch[9] Batch [23150] Speed: 10.98 samples/sec Train-Accuracy=0.857143
2016-09-27 19:59:12,558 Epoch[9] Batch [23200] Speed: 11.00 samples/sec Train-Accuracy=0.861429
2016-09-27 19:59:48,968 Epoch[9] Batch [23250] Speed: 10.99 samples/sec Train-Accuracy=0.881429
2016-09-27 20:00:25,402 Epoch[9] Batch [23300] Speed: 10.98 samples/sec Train-Accuracy=0.830000
2016-09-27 20:01:01,705 Epoch[9] Batch [23350] Speed: 11.02 samples/sec Train-Accuracy=0.835714
2016-09-27 20:01:38,068 Epoch[9] Batch [23400] Speed: 11.00 samples/sec Train-Accuracy=0.830000
2016-09-27 20:02:14,434 Epoch[9] Batch [23450] Speed: 11.00 samples/sec Train-Accuracy=0.814286
2016-09-27 20:02:50,732 Epoch[9] Batch [23500] Speed: 11.02 samples/sec Train-Accuracy=0.840000
2016-09-27 20:03:27,050 Epoch[9] Batch [23550] Speed: 11.01 samples/sec Train-Accuracy=0.875714
2016-09-27 20:04:03,410 Epoch[9] Batch [23600] Speed: 11.00 samples/sec Train-Accuracy=0.837143
2016-09-27 20:04:39,799 Epoch[9] Batch [23650] Speed: 10.99 samples/sec Train-Accuracy=0.865714
2016-09-27 20:05:16,139 Epoch[9] Batch [23700] Speed: 11.01 samples/sec Train-Accuracy=0.858571
2016-09-27 20:05:52,485 Epoch[9] Batch [23750] Speed: 11.01 samples/sec Train-Accuracy=0.824286
2016-09-27 20:06:28,900 Epoch[9] Batch [23800] Speed: 10.98 samples/sec Train-Accuracy=0.864286
2016-09-27 20:07:05,269 Epoch[9] Batch [23850] Speed: 11.00 samples/sec Train-Accuracy=0.855714
2016-09-27 20:07:41,714 Epoch[9] Batch [23900] Speed: 10.98 samples/sec Train-Accuracy=0.850000
2016-09-27 20:08:18,392 Epoch[9] Batch [23950] Speed: 10.91 samples/sec Train-Accuracy=0.855714
2016-09-27 20:08:54,815 Epoch[9] Batch [24000] Speed: 10.98 samples/sec Train-Accuracy=0.874286
2016-09-27 20:09:31,976 Epoch[9] Batch [24050] Speed: 10.76 samples/sec Train-Accuracy=0.837143
2016-09-27 20:10:09,581 Epoch[9] Batch [24100] Speed: 10.64 samples/sec Train-Accuracy=0.868571
2016-09-27 20:10:46,989 Epoch[9] Batch [24150] Speed: 10.69 samples/sec Train-Accuracy=0.821429
2016-09-27 20:11:23,279 Epoch[9] Batch [24200] Speed: 11.02 samples/sec Train-Accuracy=0.822857
2016-09-27 20:11:59,672 Epoch[9] Batch [24250] Speed: 10.99 samples/sec Train-Accuracy=0.848571
2016-09-27 20:12:36,113 Epoch[9] Batch [24300] Speed: 10.98 samples/sec Train-Accuracy=0.850000
2016-09-27 20:13:14,600 Epoch[9] Batch [24350] Speed: 10.39 samples/sec Train-Accuracy=0.831429
2016-09-27 20:13:50,995 Epoch[9] Batch [24400] Speed: 10.99 samples/sec Train-Accuracy=0.888571
2016-09-27 20:14:27,492 Epoch[9] Batch [24450] Speed: 10.96 samples/sec Train-Accuracy=0.844286
2016-09-27 20:15:04,050 Epoch[9] Batch [24500] Speed: 10.94 samples/sec Train-Accuracy=0.851429
2016-09-27 20:15:40,576 Epoch[9] Batch [24550] Speed: 10.95 samples/sec Train-Accuracy=0.834286
2016-09-27 20:16:16,975 Epoch[9] Batch [24600] Speed: 10.99 samples/sec Train-Accuracy=0.861429
2016-09-27 20:16:53,475 Epoch[9] Batch [24650] Speed: 10.96 samples/sec Train-Accuracy=0.861429
2016-09-27 20:17:29,997 Epoch[9] Batch [24700] Speed: 10.95 samples/sec Train-Accuracy=0.850000
2016-09-27 20:18:06,408 Epoch[9] Batch [24750] Speed: 10.99 samples/sec Train-Accuracy=0.871429
2016-09-27 20:18:43,050 Epoch[9] Batch [24800] Speed: 10.92 samples/sec Train-Accuracy=0.800000
2016-09-27 20:19:19,928 Epoch[9] Batch [24850] Speed: 10.85 samples/sec Train-Accuracy=0.874286
2016-09-27 20:19:56,897 Epoch[9] Batch [24900] Speed: 10.82 samples/sec Train-Accuracy=0.844286
2016-09-27 20:20:33,331 Epoch[9] Batch [24950] Speed: 10.98 samples/sec Train-Accuracy=0.851429
2016-09-27 20:21:12,086 Epoch[9] Batch [25000] Speed: 10.32 samples/sec Train-Accuracy=0.868571
2016-09-27 20:21:50,966 Epoch[9] Batch [25050] Speed: 10.29 samples/sec Train-Accuracy=0.857143
2016-09-27 20:22:29,995 Epoch[9] Batch [25100] Speed: 10.25 samples/sec Train-Accuracy=0.831429
2016-09-27 20:23:08,908 Epoch[9] Batch [25150] Speed: 10.28 samples/sec Train-Accuracy=0.840000
2016-09-27 20:23:47,271 Epoch[9] Batch [25200] Speed: 10.43 samples/sec Train-Accuracy=0.844286
2016-09-27 20:24:25,076 Epoch[9] Batch [25250] Speed: 10.58 samples/sec Train-Accuracy=0.878571
2016-09-27 20:25:02,727 Epoch[9] Batch [25300] Speed: 10.62 samples/sec Train-Accuracy=0.818571
2016-09-27 20:25:40,413 Epoch[9] Batch [25350] Speed: 10.61 samples/sec Train-Accuracy=0.844286
2016-09-27 20:26:18,757 Epoch[9] Batch [25400] Speed: 10.43 samples/sec Train-Accuracy=0.814286
2016-09-27 20:26:55,985 Epoch[9] Batch [25450] Speed: 10.74 samples/sec Train-Accuracy=0.845714
2016-09-27 20:27:32,692 Epoch[9] Batch [25500] Speed: 10.90 samples/sec Train-Accuracy=0.860000
2016-09-27 20:28:09,477 Epoch[9] Batch [25550] Speed: 10.87 samples/sec Train-Accuracy=0.848571
2016-09-27 20:28:46,212 Epoch[9] Batch [25600] Speed: 10.89 samples/sec Train-Accuracy=0.852857
2016-09-27 20:29:22,888 Epoch[9] Batch [25650] Speed: 10.91 samples/sec Train-Accuracy=0.802857
2016-09-27 20:29:59,593 Epoch[9] Batch [25700] Speed: 10.90 samples/sec Train-Accuracy=0.844286
2016-09-27 20:30:38,266 Epoch[9] Batch [25750] Speed: 10.34 samples/sec Train-Accuracy=0.865714
2016-09-27 20:31:20,214 Epoch[9] Batch [25800] Speed: 9.54 samples/sec Train-Accuracy=0.858571
2016-09-27 20:31:58,984 Epoch[9] Batch [25850] Speed: 10.32 samples/sec Train-Accuracy=0.828571
2016-09-27 20:32:37,393 Epoch[9] Batch [25900] Speed: 10.41 samples/sec Train-Accuracy=0.835714
2016-09-27 20:33:16,406 Epoch[9] Batch [25950] Speed: 10.25 samples/sec Train-Accuracy=0.850000
2016-09-27 20:33:53,545 Epoch[9] Batch [26000] Speed: 10.77 samples/sec Train-Accuracy=0.854286
2016-09-27 20:34:29,772 Epoch[9] Batch [26050] Speed: 11.04 samples/sec Train-Accuracy=0.858571
2016-09-27 20:35:06,459 Epoch[9] Batch [26100] Speed: 10.90 samples/sec Train-Accuracy=0.854286
2016-09-27 20:35:43,030 Epoch[9] Batch [26150] Speed: 10.94 samples/sec Train-Accuracy=0.818571
2016-09-27 20:36:19,149 Epoch[9] Batch [26200] Speed: 11.07 samples/sec Train-Accuracy=0.837143
2016-09-27 20:36:55,255 Epoch[9] Batch [26250] Speed: 11.08 samples/sec Train-Accuracy=0.825714
2016-09-27 20:37:31,397 Epoch[9] Batch [26300] Speed: 11.07 samples/sec Train-Accuracy=0.855714
2016-09-27 20:38:07,552 Epoch[9] Batch [26350] Speed: 11.06 samples/sec Train-Accuracy=0.858571
2016-09-27 20:38:43,932 Epoch[9] Batch [26400] Speed: 11.00 samples/sec Train-Accuracy=0.861429
2016-09-27 20:39:20,182 Epoch[9] Batch [26450] Speed: 11.03 samples/sec Train-Accuracy=0.822857
2016-09-27 20:39:56,433 Epoch[9] Batch [26500] Speed: 11.03 samples/sec Train-Accuracy=0.847143
2016-09-27 20:40:32,742 Epoch[9] Batch [26550] Speed: 11.02 samples/sec Train-Accuracy=0.845714
2016-09-27 20:41:08,952 Epoch[9] Batch [26600] Speed: 11.05 samples/sec Train-Accuracy=0.855714
2016-09-27 20:41:45,176 Epoch[9] Batch [26650] Speed: 11.04 samples/sec Train-Accuracy=0.854286
2016-09-27 20:42:21,430 Epoch[9] Batch [26700] Speed: 11.03 samples/sec Train-Accuracy=0.848571
2016-09-27 20:42:57,571 Epoch[9] Batch [26750] Speed: 11.07 samples/sec Train-Accuracy=0.854286
2016-09-27 20:43:33,623 Epoch[9] Batch [26800] Speed: 11.10 samples/sec Train-Accuracy=0.845714
2016-09-27 20:44:09,741 Epoch[9] Batch [26850] Speed: 11.07 samples/sec Train-Accuracy=0.807143
2016-09-27 20:44:45,873 Epoch[9] Batch [26900] Speed: 11.07 samples/sec Train-Accuracy=0.840000
2016-09-27 20:45:23,776 Epoch[9] Batch [26950] Speed: 10.55 samples/sec Train-Accuracy=0.842857
2016-09-27 20:46:02,452 Epoch[9] Batch [27000] Speed: 10.34 samples/sec Train-Accuracy=0.842857
2016-09-27 20:46:41,027 Epoch[9] Batch [27050] Speed: 10.37 samples/sec Train-Accuracy=0.835714
2016-09-27 20:47:19,326 Epoch[9] Batch [27100] Speed: 10.44 samples/sec Train-Accuracy=0.845714
2016-09-27 20:47:57,474 Epoch[9] Batch [27150] Speed: 10.49 samples/sec Train-Accuracy=0.838571
2016-09-27 20:48:36,225 Epoch[9] Batch [27200] Speed: 10.32 samples/sec Train-Accuracy=0.847143
2016-09-27 20:49:14,172 Epoch[9] Batch [27250] Speed: 10.54 samples/sec Train-Accuracy=0.835714
2016-09-27 20:49:51,943 Epoch[9] Batch [27300] Speed: 10.59 samples/sec Train-Accuracy=0.847143
2016-09-27 20:50:29,492 Epoch[9] Batch [27350] Speed: 10.65 samples/sec Train-Accuracy=0.812857
2016-09-27 20:51:06,881 Epoch[9] Batch [27400] Speed: 10.70 samples/sec Train-Accuracy=0.855714
2016-09-27 20:51:43,736 Epoch[9] Batch [27450] Speed: 10.85 samples/sec Train-Accuracy=0.827143
2016-09-27 20:52:20,094 Epoch[9] Batch [27500] Speed: 11.00 samples/sec Train-Accuracy=0.858571
2016-09-27 20:52:56,522 Epoch[9] Batch [27550] Speed: 10.98 samples/sec Train-Accuracy=0.858571
2016-09-27 20:53:32,909 Epoch[9] Batch [27600] Speed: 10.99 samples/sec Train-Accuracy=0.847143
2016-09-27 20:54:09,320 Epoch[9] Batch [27650] Speed: 10.99 samples/sec Train-Accuracy=0.852857
2016-09-27 20:54:48,403 Epoch[9] Batch [27700] Speed: 10.23 samples/sec Train-Accuracy=0.867143
2016-09-27 20:55:25,791 Epoch[9] Batch [27750] Speed: 10.70 samples/sec Train-Accuracy=0.822857
2016-09-27 20:56:03,211 Epoch[9] Batch [27800] Speed: 10.69 samples/sec Train-Accuracy=0.864286
2016-09-27 20:56:40,786 Epoch[9] Batch [27850] Speed: 10.65 samples/sec Train-Accuracy=0.857143
2016-09-27 20:57:17,221 Epoch[9] Batch [27900] Speed: 10.98 samples/sec Train-Accuracy=0.875714
2016-09-27 20:57:53,601 Epoch[9] Batch [27950] Speed: 11.00 samples/sec Train-Accuracy=0.824286
2016-09-27 20:58:29,930 Epoch[9] Batch [28000] Speed: 11.01 samples/sec Train-Accuracy=0.825714
2016-09-27 20:59:06,202 Epoch[9] Batch [28050] Speed: 11.03 samples/sec Train-Accuracy=0.857143
2016-09-27 20:59:42,453 Epoch[9] Batch [28100] Speed: 11.03 samples/sec Train-Accuracy=0.834286
2016-09-27 21:00:18,778 Epoch[9] Batch [28150] Speed: 11.01 samples/sec Train-Accuracy=0.857143
2016-09-27 21:00:55,483 Epoch[9] Batch [28200] Speed: 10.90 samples/sec Train-Accuracy=0.854286
2016-09-27 21:01:32,240 Epoch[9] Batch [28250] Speed: 10.88 samples/sec Train-Accuracy=0.835714
2016-09-27 21:02:08,991 Epoch[9] Batch [28300] Speed: 10.88 samples/sec Train-Accuracy=0.862857
2016-09-27 21:02:45,702 Epoch[9] Batch [28350] Speed: 10.90 samples/sec Train-Accuracy=0.851429
2016-09-27 21:03:22,456 Epoch[9] Batch [28400] Speed: 10.88 samples/sec Train-Accuracy=0.832857
2016-09-27 21:03:59,158 Epoch[9] Batch [28450] Speed: 10.90 samples/sec Train-Accuracy=0.858571
2016-09-27 21:04:35,910 Epoch[9] Batch [28500] Speed: 10.88 samples/sec Train-Accuracy=0.821429
2016-09-27 21:05:13,142 Epoch[9] Batch [28550] Speed: 10.74 samples/sec Train-Accuracy=0.844286
2016-09-27 21:05:50,035 Epoch[9] Batch [28600] Speed: 10.84 samples/sec Train-Accuracy=0.844286
2016-09-27 21:06:27,399 Epoch[9] Batch [28650] Speed: 10.71 samples/sec Train-Accuracy=0.848571
2016-09-27 21:07:07,107 Epoch[9] Batch [28700] Speed: 10.07 samples/sec Train-Accuracy=0.840000
2016-09-27 21:07:44,739 Epoch[9] Batch [28750] Speed: 10.63 samples/sec Train-Accuracy=0.848571
2016-09-27 21:08:25,618 Epoch[9] Batch [28800] Speed: 9.79 samples/sec Train-Accuracy=0.835714
2016-09-27 21:09:05,898 Epoch[9] Batch [28850] Speed: 9.93 samples/sec Train-Accuracy=0.821429
2016-09-27 21:09:42,941 Epoch[9] Batch [28900] Speed: 10.80 samples/sec Train-Accuracy=0.840000
2016-09-27 21:10:19,618 Epoch[9] Batch [28950] Speed: 10.91 samples/sec Train-Accuracy=0.868571
2016-09-27 21:10:56,229 Epoch[9] Batch [29000] Speed: 10.93 samples/sec Train-Accuracy=0.860000
2016-09-27 21:11:32,849 Epoch[9] Batch [29050] Speed: 10.92 samples/sec Train-Accuracy=0.842857
2016-09-27 21:12:09,587 Epoch[9] Batch [29100] Speed: 10.89 samples/sec Train-Accuracy=0.845714
2016-09-27 21:12:46,299 Epoch[9] Batch [29150] Speed: 10.90 samples/sec Train-Accuracy=0.852857
2016-09-27 21:13:23,059 Epoch[9] Batch [29200] Speed: 10.88 samples/sec Train-Accuracy=0.827143
2016-09-27 21:13:59,755 Epoch[9] Batch [29250] Speed: 10.90 samples/sec Train-Accuracy=0.827143
2016-09-27 21:14:36,518 Epoch[9] Batch [29300] Speed: 10.88 samples/sec Train-Accuracy=0.824286
2016-09-27 21:15:13,647 Epoch[9] Batch [29350] Speed: 10.77 samples/sec Train-Accuracy=0.835714
2016-09-27 21:15:50,610 Epoch[9] Batch [29400] Speed: 10.82 samples/sec Train-Accuracy=0.878571
2016-09-27 21:16:27,244 Epoch[9] Batch [29450] Speed: 10.92 samples/sec Train-Accuracy=0.884286
2016-09-27 21:17:04,043 Epoch[9] Batch [29500] Speed: 10.87 samples/sec Train-Accuracy=0.825714
2016-09-27 21:17:40,964 Epoch[9] Batch [29550] Speed: 10.83 samples/sec Train-Accuracy=0.830000
2016-09-27 21:18:18,432 Epoch[9] Batch [29600] Speed: 10.68 samples/sec Train-Accuracy=0.838571
2016-09-27 21:18:58,061 Epoch[9] Batch [29650] Speed: 10.09 samples/sec Train-Accuracy=0.842857
2016-09-27 21:19:34,885 Epoch[9] Batch [29700] Speed: 10.86 samples/sec Train-Accuracy=0.862857
2016-09-27 21:20:15,396 Epoch[9] Batch [29750] Speed: 9.87 samples/sec Train-Accuracy=0.875714
2016-09-27 21:20:55,892 Epoch[9] Batch [29800] Speed: 9.88 samples/sec Train-Accuracy=0.857143
2016-09-27 21:21:34,014 Epoch[9] Batch [29850] Speed: 10.49 samples/sec Train-Accuracy=0.848571
2016-09-27 21:22:11,958 Epoch[9] Batch [29900] Speed: 10.54 samples/sec Train-Accuracy=0.840000
2016-09-27 21:22:49,691 Epoch[9] Batch [29950] Speed: 10.60 samples/sec Train-Accuracy=0.862857
2016-09-27 21:23:27,124 Epoch[9] Batch [30000] Speed: 10.69 samples/sec Train-Accuracy=0.860000
2016-09-27 21:24:03,665 Epoch[9] Batch [30050] Speed: 10.95 samples/sec Train-Accuracy=0.840000
2016-09-27 21:24:42,168 Epoch[9] Batch [30100] Speed: 10.39 samples/sec Train-Accuracy=0.841429
2016-09-27 21:25:21,233 Epoch[9] Batch [30150] Speed: 10.24 samples/sec Train-Accuracy=0.834286
2016-09-27 21:26:01,758 Epoch[9] Batch [30200] Speed: 9.87 samples/sec Train-Accuracy=0.838571
2016-09-27 21:26:41,617 Epoch[9] Batch [30250] Speed: 10.04 samples/sec Train-Accuracy=0.875714
2016-09-27 21:27:20,297 Epoch[9] Batch [30300] Speed: 10.34 samples/sec Train-Accuracy=0.835714
2016-09-27 21:27:57,622 Epoch[9] Batch [30350] Speed: 10.72 samples/sec Train-Accuracy=0.832857
2016-09-27 21:28:35,332 Epoch[9] Batch [30400] Speed: 10.61 samples/sec Train-Accuracy=0.858571
2016-09-27 21:29:13,268 Epoch[9] Batch [30450] Speed: 10.54 samples/sec Train-Accuracy=0.817143
2016-09-27 21:29:49,875 Epoch[9] Batch [30500] Speed: 10.93 samples/sec Train-Accuracy=0.852857
2016-09-27 21:30:26,109 Epoch[9] Batch [30550] Speed: 11.04 samples/sec Train-Accuracy=0.827143
2016-09-27 21:31:03,074 Epoch[9] Batch [30600] Speed: 10.82 samples/sec Train-Accuracy=0.865714
2016-09-27 21:31:40,768 Epoch[9] Batch [30650] Speed: 10.61 samples/sec Train-Accuracy=0.818571
2016-09-27 21:32:21,489 Epoch[9] Batch [30700] Speed: 9.82 samples/sec Train-Accuracy=0.821429
2016-09-27 21:32:59,586 Epoch[9] Batch [30750] Speed: 10.50 samples/sec Train-Accuracy=0.867143
2016-09-27 21:33:37,537 Epoch[9] Batch [30800] Speed: 10.54 samples/sec Train-Accuracy=0.825714
2016-09-27 21:34:15,214 Epoch[9] Batch [30850] Speed: 10.62 samples/sec Train-Accuracy=0.841429
2016-09-27 21:34:51,496 Epoch[9] Batch [30900] Speed: 11.02 samples/sec Train-Accuracy=0.865714
2016-09-27 21:35:31,658 Epoch[9] Batch [30950] Speed: 9.96 samples/sec Train-Accuracy=0.857143
2016-09-27 21:36:10,630 Epoch[9] Batch [31000] Speed: 10.26 samples/sec Train-Accuracy=0.857143
2016-09-27 21:36:46,780 Epoch[9] Batch [31050] Speed: 11.07 samples/sec Train-Accuracy=0.850000
2016-09-27 21:37:23,127 Epoch[9] Batch [31100] Speed: 11.01 samples/sec Train-Accuracy=0.852857
2016-09-27 21:38:02,970 Epoch[9] Batch [31150] Speed: 10.04 samples/sec Train-Accuracy=0.857143
2016-09-27 21:38:40,966 Epoch[9] Batch [31200] Speed: 10.53 samples/sec Train-Accuracy=0.837143
2016-09-27 21:39:18,491 Epoch[9] Batch [31250] Speed: 10.66 samples/sec Train-Accuracy=0.825714
2016-09-27 21:39:55,969 Epoch[9] Batch [31300] Speed: 10.67 samples/sec Train-Accuracy=0.818571
2016-09-27 21:40:33,398 Epoch[9] Batch [31350] Speed: 10.69 samples/sec Train-Accuracy=0.821429
2016-09-27 21:41:11,181 Epoch[9] Batch [31400] Speed: 10.59 samples/sec Train-Accuracy=0.868571
2016-09-27 21:41:49,189 Epoch[9] Batch [31450] Speed: 10.52 samples/sec Train-Accuracy=0.877143
2016-09-27 21:42:27,293 Epoch[9] Batch [31500] Speed: 10.50 samples/sec Train-Accuracy=0.814286
2016-09-27 21:43:05,363 Epoch[9] Batch [31550] Speed: 10.51 samples/sec Train-Accuracy=0.830000
2016-09-27 21:43:43,353 Epoch[9] Batch [31600] Speed: 10.53 samples/sec Train-Accuracy=0.868571
2016-09-27 21:44:21,470 Epoch[9] Batch [31650] Speed: 10.49 samples/sec Train-Accuracy=0.850000
2016-09-27 21:44:59,072 Epoch[9] Batch [31700] Speed: 10.64 samples/sec Train-Accuracy=0.838571
2016-09-27 21:45:36,632 Epoch[9] Batch [31750] Speed: 10.65 samples/sec Train-Accuracy=0.847143
2016-09-27 21:46:14,066 Epoch[9] Batch [31800] Speed: 10.69 samples/sec Train-Accuracy=0.845714
2016-09-27 21:46:51,585 Epoch[9] Batch [31850] Speed: 10.66 samples/sec Train-Accuracy=0.841429
2016-09-27 21:47:29,009 Epoch[9] Batch [31900] Speed: 10.69 samples/sec Train-Accuracy=0.830000
2016-09-27 21:48:06,077 Epoch[9] Batch [31950] Speed: 10.79 samples/sec Train-Accuracy=0.820000
2016-09-27 21:48:42,597 Epoch[9] Batch [32000] Speed: 10.95 samples/sec Train-Accuracy=0.842857
2016-09-27 21:49:18,871 Epoch[9] Batch [32050] Speed: 11.03 samples/sec Train-Accuracy=0.841429
2016-09-27 21:49:55,370 Epoch[9] Batch [32100] Speed: 10.96 samples/sec Train-Accuracy=0.842857
2016-09-27 21:50:31,869 Epoch[9] Batch [32150] Speed: 10.96 samples/sec Train-Accuracy=0.834286
2016-09-27 21:51:09,210 Epoch[9] Batch [32200] Speed: 10.71 samples/sec Train-Accuracy=0.831429
2016-09-27 21:51:46,504 Epoch[9] Batch [32250] Speed: 10.73 samples/sec Train-Accuracy=0.830000
2016-09-27 21:52:22,912 Epoch[9] Batch [32300] Speed: 10.99 samples/sec Train-Accuracy=0.851429
2016-09-27 21:52:59,275 Epoch[9] Batch [32350] Speed: 11.00 samples/sec Train-Accuracy=0.865714
2016-09-27 21:53:36,331 Epoch[9] Batch [32400] Speed: 10.79 samples/sec Train-Accuracy=0.834286
2016-09-27 21:54:13,729 Epoch[9] Batch [32450] Speed: 10.70 samples/sec Train-Accuracy=0.847143
2016-09-27 21:54:51,641 Epoch[9] Batch [32500] Speed: 10.55 samples/sec Train-Accuracy=0.848571
2016-09-27 21:55:29,545 Epoch[9] Batch [32550] Speed: 10.55 samples/sec Train-Accuracy=0.864286
2016-09-27 21:56:06,848 Epoch[9] Batch [32600] Speed: 10.72 samples/sec Train-Accuracy=0.868571
2016-09-27 21:56:44,449 Epoch[9] Batch [32650] Speed: 10.64 samples/sec Train-Accuracy=0.858571
2016-09-27 21:57:22,546 Epoch[9] Batch [32700] Speed: 10.50 samples/sec Train-Accuracy=0.828571
2016-09-27 21:57:59,385 Epoch[9] Batch [32750] Speed: 10.86 samples/sec Train-Accuracy=0.861429
2016-09-27 21:58:35,791 Epoch[9] Batch [32800] Speed: 10.99 samples/sec Train-Accuracy=0.805714
2016-09-27 21:59:12,286 Epoch[9] Batch [32850] Speed: 10.96 samples/sec Train-Accuracy=0.845714
2016-09-27 21:59:50,948 Epoch[9] Batch [32900] Speed: 10.35 samples/sec Train-Accuracy=0.882857
2016-09-27 22:00:28,413 Epoch[9] Batch [32950] Speed: 10.68 samples/sec Train-Accuracy=0.821429
2016-09-27 22:01:05,445 Epoch[9] Batch [33000] Speed: 10.80 samples/sec Train-Accuracy=0.864286
2016-09-27 22:01:41,947 Epoch[9] Batch [33050] Speed: 10.96 samples/sec Train-Accuracy=0.840000
2016-09-27 22:02:18,866 Epoch[9] Batch [33100] Speed: 10.83 samples/sec Train-Accuracy=0.835714
2016-09-27 22:02:56,401 Epoch[9] Batch [33150] Speed: 10.66 samples/sec Train-Accuracy=0.835714
2016-09-27 22:03:32,764 Epoch[9] Batch [33200] Speed: 11.00 samples/sec Train-Accuracy=0.890000
2016-09-27 22:04:09,003 Epoch[9] Batch [33250] Speed: 11.04 samples/sec Train-Accuracy=0.862857
2016-09-27 22:04:48,595 Epoch[9] Batch [33300] Speed: 10.10 samples/sec Train-Accuracy=0.840000
2016-09-27 22:05:26,479 Epoch[9] Batch [33350] Speed: 10.56 samples/sec Train-Accuracy=0.850000
2016-09-27 22:06:02,632 Epoch[9] Batch [33400] Speed: 11.06 samples/sec Train-Accuracy=0.828571
2016-09-27 22:06:38,720 Epoch[9] Batch [33450] Speed: 11.08 samples/sec Train-Accuracy=0.831429
2016-09-27 22:07:14,918 Epoch[9] Batch [33500] Speed: 11.05 samples/sec Train-Accuracy=0.847143
2016-09-27 22:07:51,380 Epoch[9] Batch [33550] Speed: 10.97 samples/sec Train-Accuracy=0.848571
2016-09-27 22:08:27,830 Epoch[9] Batch [33600] Speed: 10.97 samples/sec Train-Accuracy=0.848571
2016-09-27 22:09:04,338 Epoch[9] Batch [33650] Speed: 10.96 samples/sec Train-Accuracy=0.855714
2016-09-27 22:09:41,560 Epoch[9] Batch [33700] Speed: 10.75 samples/sec Train-Accuracy=0.807143
2016-09-27 22:10:18,160 Epoch[9] Batch [33750] Speed: 10.93 samples/sec Train-Accuracy=0.847143
2016-09-27 22:10:54,616 Epoch[9] Batch [33800] Speed: 10.97 samples/sec Train-Accuracy=0.831429
2016-09-27 22:11:31,073 Epoch[9] Batch [33850] Speed: 10.97 samples/sec Train-Accuracy=0.870000
2016-09-27 22:12:07,628 Epoch[9] Batch [33900] Speed: 10.94 samples/sec Train-Accuracy=0.851429
2016-09-27 22:12:48,049 Epoch[9] Batch [33950] Speed: 9.90 samples/sec Train-Accuracy=0.830000
2016-09-27 22:13:27,994 Epoch[9] Batch [34000] Speed: 10.01 samples/sec Train-Accuracy=0.838571
2016-09-27 22:14:05,031 Epoch[9] Batch [34050] Speed: 10.80 samples/sec Train-Accuracy=0.845714
2016-09-27 22:14:42,342 Epoch[9] Batch [34100] Speed: 10.72 samples/sec Train-Accuracy=0.890000
2016-09-27 22:15:19,684 Epoch[9] Batch [34150] Speed: 10.71 samples/sec Train-Accuracy=0.844286
2016-09-27 22:15:57,093 Epoch[9] Batch [34200] Speed: 10.69 samples/sec Train-Accuracy=0.847143
2016-09-27 22:16:35,251 Epoch[9] Batch [34250] Speed: 10.48 samples/sec Train-Accuracy=0.848571
2016-09-27 22:17:12,911 Epoch[9] Batch [34300] Speed: 10.62 samples/sec Train-Accuracy=0.840000
2016-09-27 22:17:52,082 Epoch[9] Batch [34350] Speed: 10.21 samples/sec Train-Accuracy=0.867143
2016-09-27 22:18:31,241 Epoch[9] Batch [34400] Speed: 10.22 samples/sec Train-Accuracy=0.845714
2016-09-27 22:19:09,314 Epoch[9] Batch [34450] Speed: 10.51 samples/sec Train-Accuracy=0.877143
2016-09-27 22:19:46,859 Epoch[9] Batch [34500] Speed: 10.65 samples/sec Train-Accuracy=0.857143
2016-09-27 22:20:24,845 Epoch[9] Batch [34550] Speed: 10.53 samples/sec Train-Accuracy=0.834286
2016-09-27 22:21:03,041 Epoch[9] Batch [34600] Speed: 10.47 samples/sec Train-Accuracy=0.842857
2016-09-27 22:21:41,197 Epoch[9] Batch [34650] Speed: 10.48 samples/sec Train-Accuracy=0.841429
2016-09-27 22:22:19,327 Epoch[9] Batch [34700] Speed: 10.49 samples/sec Train-Accuracy=0.850000
2016-09-27 22:22:56,624 Epoch[9] Batch [34750] Speed: 10.73 samples/sec Train-Accuracy=0.845714
2016-09-27 22:23:33,779 Epoch[9] Batch [34800] Speed: 10.77 samples/sec Train-Accuracy=0.835714
2016-09-27 22:24:15,834 Epoch[9] Batch [34850] Speed: 9.51 samples/sec Train-Accuracy=0.825714
2016-09-27 22:24:54,222 Epoch[9] Batch [34900] Speed: 10.42 samples/sec Train-Accuracy=0.854286
2016-09-27 22:25:32,107 Epoch[9] Batch [34950] Speed: 10.56 samples/sec Train-Accuracy=0.847143
2016-09-27 22:26:09,484 Epoch[9] Batch [35000] Speed: 10.70 samples/sec Train-Accuracy=0.837143
2016-09-27 22:26:45,695 Epoch[9] Batch [35050] Speed: 11.05 samples/sec Train-Accuracy=0.845714
2016-09-27 22:27:24,865 Epoch[9] Batch [35100] Speed: 10.21 samples/sec Train-Accuracy=0.854286
2016-09-27 22:28:02,652 Epoch[9] Batch [35150] Speed: 10.59 samples/sec Train-Accuracy=0.874286
2016-09-27 22:28:40,575 Epoch[9] Batch [35200] Speed: 10.55 samples/sec Train-Accuracy=0.861429
2016-09-27 22:29:17,716 Epoch[9] Batch [35250] Speed: 10.77 samples/sec Train-Accuracy=0.842857
2016-09-27 22:29:54,256 Epoch[9] Batch [35300] Speed: 10.95 samples/sec Train-Accuracy=0.865714
2016-09-27 22:30:30,636 Epoch[9] Batch [35350] Speed: 11.00 samples/sec Train-Accuracy=0.852857
2016-09-27 22:31:07,042 Epoch[9] Batch [35400] Speed: 10.99 samples/sec Train-Accuracy=0.832857
2016-09-27 22:31:43,608 Epoch[9] Batch [35450] Speed: 10.94 samples/sec Train-Accuracy=0.844286
2016-09-27 22:32:20,023 Epoch[9] Batch [35500] Speed: 10.98 samples/sec Train-Accuracy=0.858571
2016-09-27 22:32:56,415 Epoch[9] Batch [35550] Speed: 10.99 samples/sec Train-Accuracy=0.852857
2016-09-27 22:33:32,920 Epoch[9] Batch [35600] Speed: 10.96 samples/sec Train-Accuracy=0.877143
2016-09-27 22:34:09,366 Epoch[9] Batch [35650] Speed: 10.98 samples/sec Train-Accuracy=0.847143
2016-09-27 22:34:45,887 Epoch[9] Batch [35700] Speed: 10.95 samples/sec Train-Accuracy=0.830000
2016-09-27 22:35:22,330 Epoch[9] Batch [35750] Speed: 10.98 samples/sec Train-Accuracy=0.854286
2016-09-27 22:35:58,817 Epoch[9] Batch [35800] Speed: 10.96 samples/sec Train-Accuracy=0.831429
2016-09-27 22:36:35,346 Epoch[9] Batch [35850] Speed: 10.95 samples/sec Train-Accuracy=0.871429
2016-09-27 22:37:11,852 Epoch[9] Batch [35900] Speed: 10.96 samples/sec Train-Accuracy=0.862857
2016-09-27 22:37:48,383 Epoch[9] Batch [35950] Speed: 10.95 samples/sec Train-Accuracy=0.848571
2016-09-27 22:38:24,843 Epoch[9] Batch [36000] Speed: 10.97 samples/sec Train-Accuracy=0.828571
2016-09-27 22:39:01,339 Epoch[9] Batch [36050] Speed: 10.96 samples/sec Train-Accuracy=0.830000
2016-09-27 22:39:37,936 Epoch[9] Batch [36100] Speed: 10.93 samples/sec Train-Accuracy=0.850000
2016-09-27 22:40:14,611 Epoch[9] Batch [36150] Speed: 10.91 samples/sec Train-Accuracy=0.838571
2016-09-27 22:40:51,304 Epoch[9] Batch [36200] Speed: 10.90 samples/sec Train-Accuracy=0.835714
2016-09-27 22:41:30,547 Epoch[9] Batch [36250] Speed: 10.19 samples/sec Train-Accuracy=0.845714
2016-09-27 22:42:07,294 Epoch[9] Batch [36300] Speed: 10.89 samples/sec Train-Accuracy=0.832857
2016-09-27 22:42:43,923 Epoch[9] Batch [36350] Speed: 10.92 samples/sec Train-Accuracy=0.834286
2016-09-27 22:43:20,577 Epoch[9] Batch [36400] Speed: 10.91 samples/sec Train-Accuracy=0.850000
2016-09-27 22:43:59,908 Epoch[9] Batch [36450] Speed: 10.17 samples/sec Train-Accuracy=0.821429
2016-09-27 22:44:38,148 Epoch[9] Batch [36500] Speed: 10.46 samples/sec Train-Accuracy=0.865714
2016-09-27 22:45:16,165 Epoch[9] Batch [36550] Speed: 10.52 samples/sec Train-Accuracy=0.875714
2016-09-27 22:45:54,283 Epoch[9] Batch [36600] Speed: 10.49 samples/sec Train-Accuracy=0.831429
2016-09-27 22:46:32,444 Epoch[9] Batch [36650] Speed: 10.48 samples/sec Train-Accuracy=0.904286
2016-09-27 22:47:09,944 Epoch[9] Batch [36700] Speed: 10.67 samples/sec Train-Accuracy=0.852857
2016-09-27 22:47:47,876 Epoch[9] Batch [36750] Speed: 10.55 samples/sec Train-Accuracy=0.881429
2016-09-27 22:48:25,243 Epoch[9] Batch [36800] Speed: 10.70 samples/sec Train-Accuracy=0.877143
2016-09-27 22:49:02,933 Epoch[9] Batch [36850] Speed: 10.61 samples/sec Train-Accuracy=0.848571
2016-09-27 22:49:40,217 Epoch[9] Batch [36900] Speed: 10.73 samples/sec Train-Accuracy=0.860000
2016-09-27 22:50:17,778 Epoch[9] Batch [36950] Speed: 10.65 samples/sec Train-Accuracy=0.825714
2016-09-27 22:50:55,098 Epoch[9] Batch [37000] Speed: 10.72 samples/sec Train-Accuracy=0.851429
2016-09-27 22:51:32,588 Epoch[9] Batch [37050] Speed: 10.67 samples/sec Train-Accuracy=0.841429
2016-09-27 22:52:10,112 Epoch[9] Batch [37100] Speed: 10.66 samples/sec Train-Accuracy=0.845714
2016-09-27 22:52:47,576 Epoch[9] Batch [37150] Speed: 10.68 samples/sec Train-Accuracy=0.848571
2016-09-27 22:53:25,343 Epoch[9] Batch [37200] Speed: 10.59 samples/sec Train-Accuracy=0.868571
2016-09-27 22:54:01,817 Epoch[9] Batch [37250] Speed: 10.97 samples/sec Train-Accuracy=0.857143
2016-09-27 22:54:38,372 Epoch[9] Batch [37300] Speed: 10.94 samples/sec Train-Accuracy=0.851429
2016-09-27 22:55:14,831 Epoch[9] Batch [37350] Speed: 10.97 samples/sec Train-Accuracy=0.868571
2016-09-27 22:55:51,490 Epoch[9] Batch [37400] Speed: 10.91 samples/sec Train-Accuracy=0.865714
2016-09-27 22:56:28,094 Epoch[9] Batch [37450] Speed: 10.93 samples/sec Train-Accuracy=0.874286
2016-09-27 22:57:04,585 Epoch[9] Batch [37500] Speed: 10.96 samples/sec Train-Accuracy=0.835714
2016-09-27 22:57:41,190 Epoch[9] Batch [37550] Speed: 10.93 samples/sec Train-Accuracy=0.845714
2016-09-27 22:58:17,774 Epoch[9] Batch [37600] Speed: 10.93 samples/sec Train-Accuracy=0.867143
2016-09-27 22:58:54,210 Epoch[9] Batch [37650] Speed: 10.98 samples/sec Train-Accuracy=0.838571
2016-09-27 22:59:30,683 Epoch[9] Batch [37700] Speed: 10.97 samples/sec Train-Accuracy=0.834286
2016-09-27 23:00:07,177 Epoch[9] Batch [37750] Speed: 10.96 samples/sec Train-Accuracy=0.855714
2016-09-27 23:00:47,209 Epoch[9] Batch [37800] Speed: 9.99 samples/sec Train-Accuracy=0.857143
2016-09-27 23:01:25,850 Epoch[9] Batch [37850] Speed: 10.35 samples/sec Train-Accuracy=0.860000
2016-09-27 23:02:03,639 Epoch[9] Batch [37900] Speed: 10.58 samples/sec Train-Accuracy=0.848571
2016-09-27 23:02:41,631 Epoch[9] Batch [37950] Speed: 10.53 samples/sec Train-Accuracy=0.847143
2016-09-27 23:03:19,371 Epoch[9] Batch [38000] Speed: 10.60 samples/sec Train-Accuracy=0.851429
2016-09-27 23:03:56,180 Epoch[9] Batch [38050] Speed: 10.87 samples/sec Train-Accuracy=0.838571
2016-09-27 23:04:32,614 Epoch[9] Batch [38100] Speed: 10.98 samples/sec Train-Accuracy=0.844286
2016-09-27 23:05:09,021 Epoch[9] Batch [38150] Speed: 10.99 samples/sec Train-Accuracy=0.862857
2016-09-27 23:05:45,341 Epoch[9] Batch [38200] Speed: 11.01 samples/sec Train-Accuracy=0.858571
2016-09-27 23:06:21,662 Epoch[9] Batch [38250] Speed: 11.01 samples/sec Train-Accuracy=0.835714
2016-09-27 23:06:57,949 Epoch[9] Batch [38300] Speed: 11.02 samples/sec Train-Accuracy=0.817143
2016-09-27 23:07:35,194 Epoch[9] Batch [38350] Speed: 10.74 samples/sec Train-Accuracy=0.845714
2016-09-27 23:08:17,140 Epoch[9] Batch [38400] Speed: 9.54 samples/sec Train-Accuracy=0.844286
2016-09-27 23:08:53,788 Epoch[9] Batch [38450] Speed: 10.91 samples/sec Train-Accuracy=0.855714
2016-09-27 23:09:30,371 Epoch[9] Batch [38500] Speed: 10.93 samples/sec Train-Accuracy=0.832857
2016-09-27 23:10:06,961 Epoch[9] Batch [38550] Speed: 10.93 samples/sec Train-Accuracy=0.880000
2016-09-27 23:10:43,505 Epoch[9] Batch [38600] Speed: 10.95 samples/sec Train-Accuracy=0.847143
2016-09-27 23:11:20,047 Epoch[9] Batch [38650] Speed: 10.95 samples/sec Train-Accuracy=0.847143
2016-09-27 23:11:56,477 Epoch[9] Batch [38700] Speed: 10.98 samples/sec Train-Accuracy=0.868571
2016-09-27 23:12:32,996 Epoch[9] Batch [38750] Speed: 10.95 samples/sec Train-Accuracy=0.845714
2016-09-27 23:13:09,327 Epoch[9] Batch [38800] Speed: 11.01 samples/sec Train-Accuracy=0.818571
2016-09-27 23:13:49,223 Epoch[9] Batch [38850] Speed: 10.03 samples/sec Train-Accuracy=0.837143
2016-09-27 23:14:26,386 Epoch[9] Batch [38900] Speed: 10.76 samples/sec Train-Accuracy=0.842857
2016-09-27 23:15:03,093 Epoch[9] Batch [38950] Speed: 10.90 samples/sec Train-Accuracy=0.854286
2016-09-27 23:15:39,849 Epoch[9] Batch [39000] Speed: 10.88 samples/sec Train-Accuracy=0.854286
2016-09-27 23:16:16,673 Epoch[9] Batch [39050] Speed: 10.86 samples/sec Train-Accuracy=0.832857
2016-09-27 23:16:53,707 Epoch[9] Batch [39100] Speed: 10.80 samples/sec Train-Accuracy=0.865714
2016-09-27 23:17:30,872 Epoch[9] Batch [39150] Speed: 10.76 samples/sec Train-Accuracy=0.868571
2016-09-27 23:18:07,973 Epoch[9] Batch [39200] Speed: 10.78 samples/sec Train-Accuracy=0.824286
2016-09-27 23:18:45,657 Epoch[9] Batch [39250] Speed: 10.61 samples/sec Train-Accuracy=0.850000
2016-09-27 23:19:26,300 Epoch[9] Batch [39300] Speed: 9.84 samples/sec Train-Accuracy=0.862857
2016-09-27 23:20:02,795 Epoch[9] Batch [39350] Speed: 10.96 samples/sec Train-Accuracy=0.838571
2016-09-27 23:20:42,349 Epoch[9] Batch [39400] Speed: 10.11 samples/sec Train-Accuracy=0.852857
2016-09-27 23:21:25,074 Epoch[9] Batch [39450] Speed: 9.36 samples/sec Train-Accuracy=0.822857
2016-09-27 23:22:05,110 Epoch[9] Batch [39500] Speed: 9.99 samples/sec Train-Accuracy=0.857143
2016-09-27 23:22:42,915 Epoch[9] Batch [39550] Speed: 10.58 samples/sec Train-Accuracy=0.868571
2016-09-27 23:23:20,756 Epoch[9] Batch [39600] Speed: 10.57 samples/sec Train-Accuracy=0.857143
2016-09-27 23:23:58,579 Epoch[9] Batch [39650] Speed: 10.58 samples/sec Train-Accuracy=0.844286
2016-09-27 23:24:37,136 Epoch[9] Batch [39700] Speed: 10.37 samples/sec Train-Accuracy=0.847143
2016-09-27 23:25:14,357 Epoch[9] Batch [39750] Speed: 10.75 samples/sec Train-Accuracy=0.845714
2016-09-27 23:25:51,416 Epoch[9] Batch [39800] Speed: 10.79 samples/sec Train-Accuracy=0.854286
2016-09-27 23:26:32,878 Epoch[9] Batch [39850] Speed: 9.65 samples/sec Train-Accuracy=0.847143
2016-09-27 23:27:12,375 Epoch[9] Batch [39900] Speed: 10.13 samples/sec Train-Accuracy=0.847143
2016-09-27 23:27:50,792 Epoch[9] Batch [39950] Speed: 10.41 samples/sec Train-Accuracy=0.850000
2016-09-27 23:28:30,070 Epoch[9] Batch [40000] Speed: 10.18 samples/sec Train-Accuracy=0.862857
2016-09-27 23:29:11,068 Epoch[9] Batch [40050] Speed: 9.76 samples/sec Train-Accuracy=0.864286
2016-09-27 23:29:48,461 Epoch[9] Batch [40100] Speed: 10.70 samples/sec Train-Accuracy=0.875714
2016-09-27 23:30:24,782 Epoch[9] Batch [40150] Speed: 11.01 samples/sec Train-Accuracy=0.841429
2016-09-27 23:31:00,966 Epoch[9] Batch [40200] Speed: 11.05 samples/sec Train-Accuracy=0.891429
2016-09-27 23:31:37,215 Epoch[9] Batch [40250] Speed: 11.03 samples/sec Train-Accuracy=0.860000
2016-09-27 23:32:13,504 Epoch[9] Batch [40300] Speed: 11.02 samples/sec Train-Accuracy=0.874286
2016-09-27 23:32:49,831 Epoch[9] Batch [40350] Speed: 11.01 samples/sec Train-Accuracy=0.857143
2016-09-27 23:33:26,143 Epoch[9] Batch [40400] Speed: 11.02 samples/sec Train-Accuracy=0.834286
2016-09-27 23:34:02,390 Epoch[9] Batch [40450] Speed: 11.04 samples/sec Train-Accuracy=0.868571
2016-09-27 23:34:39,667 Epoch[9] Batch [40500] Speed: 10.73 samples/sec Train-Accuracy=0.868571
2016-09-27 23:35:17,593 Epoch[9] Batch [40550] Speed: 10.55 samples/sec Train-Accuracy=0.852857
2016-09-27 23:35:55,143 Epoch[9] Batch [40600] Speed: 10.65 samples/sec Train-Accuracy=0.854286
2016-09-27 23:36:31,416 Epoch[9] Batch [40650] Speed: 11.03 samples/sec Train-Accuracy=0.820000
2016-09-27 23:37:07,981 Epoch[9] Batch [40700] Speed: 10.94 samples/sec Train-Accuracy=0.847143
2016-09-27 23:37:44,337 Epoch[9] Batch [40750] Speed: 11.00 samples/sec Train-Accuracy=0.854286
2016-09-27 23:38:20,625 Epoch[9] Batch [40800] Speed: 11.02 samples/sec Train-Accuracy=0.860000
2016-09-27 23:38:57,179 Epoch[9] Batch [40850] Speed: 10.94 samples/sec Train-Accuracy=0.855714
2016-09-27 23:39:33,506 Epoch[9] Batch [40900] Speed: 11.01 samples/sec Train-Accuracy=0.858571
2016-09-27 23:40:09,795 Epoch[9] Batch [40950] Speed: 11.02 samples/sec Train-Accuracy=0.830000
2016-09-27 23:40:46,171 Epoch[9] Batch [41000] Speed: 11.00 samples/sec Train-Accuracy=0.811429
2016-09-27 23:41:22,389 Epoch[9] Batch [41050] Speed: 11.04 samples/sec Train-Accuracy=0.851429
2016-09-27 23:41:58,567 Epoch[9] Batch [41100] Speed: 11.06 samples/sec Train-Accuracy=0.851429
2016-09-27 23:42:34,810 Epoch[9] Batch [41150] Speed: 11.04 samples/sec Train-Accuracy=0.852857
2016-09-27 23:43:10,982 Epoch[9] Batch [41200] Speed: 11.06 samples/sec Train-Accuracy=0.837143
2016-09-27 23:43:47,105 Epoch[9] Batch [41250] Speed: 11.07 samples/sec Train-Accuracy=0.861429
2016-09-27 23:44:23,438 Epoch[9] Batch [41300] Speed: 11.01 samples/sec Train-Accuracy=0.864286
2016-09-27 23:44:59,858 Epoch[9] Batch [41350] Speed: 10.98 samples/sec Train-Accuracy=0.830000
2016-09-27 23:45:36,379 Epoch[9] Batch [41400] Speed: 10.95 samples/sec Train-Accuracy=0.850000
2016-09-27 23:46:12,972 Epoch[9] Batch [41450] Speed: 10.93 samples/sec Train-Accuracy=0.867143
2016-09-27 23:46:49,487 Epoch[9] Batch [41500] Speed: 10.95 samples/sec Train-Accuracy=0.837143
2016-09-27 23:47:27,132 Epoch[9] Batch [41550] Speed: 10.63 samples/sec Train-Accuracy=0.855714
2016-09-27 23:48:04,464 Epoch[9] Batch [41600] Speed: 10.71 samples/sec Train-Accuracy=0.848571
2016-09-27 23:48:40,910 Epoch[9] Batch [41650] Speed: 10.98 samples/sec Train-Accuracy=0.850000
2016-09-27 23:49:17,610 Epoch[9] Batch [41700] Speed: 10.90 samples/sec Train-Accuracy=0.842857
2016-09-27 23:49:54,120 Epoch[9] Batch [41750] Speed: 10.96 samples/sec Train-Accuracy=0.850000
2016-09-27 23:50:30,587 Epoch[9] Batch [41800] Speed: 10.97 samples/sec Train-Accuracy=0.870000
2016-09-27 23:51:07,075 Epoch[9] Batch [41850] Speed: 10.96 samples/sec Train-Accuracy=0.867143
2016-09-27 23:51:47,736 Epoch[9] Batch [41900] Speed: 9.84 samples/sec Train-Accuracy=0.844286
2016-09-27 23:52:28,842 Epoch[9] Batch [41950] Speed: 9.73 samples/sec Train-Accuracy=0.820000
2016-09-27 23:53:07,260 Epoch[9] Batch [42000] Speed: 10.41 samples/sec Train-Accuracy=0.844286
2016-09-27 23:53:43,972 Epoch[9] Batch [42050] Speed: 10.90 samples/sec Train-Accuracy=0.851429
2016-09-27 23:54:20,902 Epoch[9] Batch [42100] Speed: 10.83 samples/sec Train-Accuracy=0.894286
2016-09-27 23:54:57,475 Epoch[9] Batch [42150] Speed: 10.94 samples/sec Train-Accuracy=0.855714
2016-09-27 23:55:33,970 Epoch[9] Batch [42200] Speed: 10.96 samples/sec Train-Accuracy=0.845714
2016-09-27 23:56:10,373 Epoch[9] Batch [42250] Speed: 10.99 samples/sec Train-Accuracy=0.832857
2016-09-27 23:56:46,927 Epoch[9] Batch [42300] Speed: 10.94 samples/sec Train-Accuracy=0.868571
2016-09-27 23:57:23,464 Epoch[9] Batch [42350] Speed: 10.95 samples/sec Train-Accuracy=0.834286
2016-09-27 23:57:59,960 Epoch[9] Batch [42400] Speed: 10.96 samples/sec Train-Accuracy=0.842857
2016-09-27 23:58:36,327 Epoch[9] Batch [42450] Speed: 11.00 samples/sec Train-Accuracy=0.845714
2016-09-27 23:59:12,830 Epoch[9] Batch [42500] Speed: 10.96 samples/sec Train-Accuracy=0.832857
2016-09-27 23:59:49,305 Epoch[9] Batch [42550] Speed: 10.97 samples/sec Train-Accuracy=0.857143
2016-09-28 00:00:25,730 Epoch[9] Batch [42600] Speed: 10.98 samples/sec Train-Accuracy=0.827143
2016-09-28 00:01:02,226 Epoch[9] Batch [42650] Speed: 10.96 samples/sec Train-Accuracy=0.864286
2016-09-28 00:01:38,846 Epoch[9] Batch [42700] Speed: 10.92 samples/sec Train-Accuracy=0.857143
2016-09-28 00:02:15,500 Epoch[9] Batch [42750] Speed: 10.91 samples/sec Train-Accuracy=0.834286
2016-09-28 00:02:52,250 Epoch[9] Batch [42800] Speed: 10.88 samples/sec Train-Accuracy=0.880000
2016-09-28 00:03:28,877 Epoch[9] Batch [42850] Speed: 10.92 samples/sec Train-Accuracy=0.858571
2016-09-28 00:04:05,522 Epoch[9] Batch [42900] Speed: 10.92 samples/sec Train-Accuracy=0.855714
2016-09-28 00:04:42,322 Epoch[9] Batch [42950] Speed: 10.87 samples/sec Train-Accuracy=0.852857
2016-09-28 00:05:19,117 Epoch[9] Batch [43000] Speed: 10.87 samples/sec Train-Accuracy=0.835714
2016-09-28 00:05:56,002 Epoch[9] Batch [43050] Speed: 10.84 samples/sec Train-Accuracy=0.874286
2016-09-28 00:06:32,839 Epoch[9] Batch [43100] Speed: 10.86 samples/sec Train-Accuracy=0.871429
2016-09-28 00:07:09,569 Epoch[9] Batch [43150] Speed: 10.89 samples/sec Train-Accuracy=0.842857
2016-09-28 00:07:46,382 Epoch[9] Batch [43200] Speed: 10.87 samples/sec Train-Accuracy=0.861429
2016-09-28 00:08:23,199 Epoch[9] Batch [43250] Speed: 10.86 samples/sec Train-Accuracy=0.815714
2016-09-28 00:08:59,990 Epoch[9] Batch [43300] Speed: 10.87 samples/sec Train-Accuracy=0.872857
2016-09-28 00:09:36,817 Epoch[9] Batch [43350] Speed: 10.86 samples/sec Train-Accuracy=0.845714
2016-09-28 00:10:13,507 Epoch[9] Batch [43400] Speed: 10.90 samples/sec Train-Accuracy=0.847143
2016-09-28 00:10:50,392 Epoch[9] Batch [43450] Speed: 10.84 samples/sec Train-Accuracy=0.867143
2016-09-28 00:11:27,350 Epoch[9] Batch [43500] Speed: 10.82 samples/sec Train-Accuracy=0.871429
2016-09-28 00:12:04,386 Epoch[9] Batch [43550] Speed: 10.80 samples/sec Train-Accuracy=0.841429
2016-09-28 00:12:41,363 Epoch[9] Batch [43600] Speed: 10.82 samples/sec Train-Accuracy=0.850000
2016-09-28 00:13:18,415 Epoch[9] Batch [43650] Speed: 10.80 samples/sec Train-Accuracy=0.852857
2016-09-28 00:13:55,481 Epoch[9] Batch [43700] Speed: 10.79 samples/sec Train-Accuracy=0.864286
2016-09-28 00:14:32,531 Epoch[9] Batch [43750] Speed: 10.80 samples/sec Train-Accuracy=0.844286
2016-09-28 00:15:09,586 Epoch[9] Batch [43800] Speed: 10.79 samples/sec Train-Accuracy=0.862857
2016-09-28 00:15:46,653 Epoch[9] Batch [43850] Speed: 10.79 samples/sec Train-Accuracy=0.825714
2016-09-28 00:16:23,819 Epoch[9] Batch [43900] Speed: 10.76 samples/sec Train-Accuracy=0.870000
2016-09-28 00:17:01,060 Epoch[9] Batch [43950] Speed: 10.74 samples/sec Train-Accuracy=0.830000
2016-09-28 00:17:38,392 Epoch[9] Batch [44000] Speed: 10.71 samples/sec Train-Accuracy=0.857143
2016-09-28 00:18:15,760 Epoch[9] Batch [44050] Speed: 10.70 samples/sec Train-Accuracy=0.838571
2016-09-28 00:18:53,203 Epoch[9] Batch [44100] Speed: 10.68 samples/sec Train-Accuracy=0.858571
2016-09-28 00:19:32,237 Epoch[9] Batch [44150] Speed: 10.25 samples/sec Train-Accuracy=0.845714
2016-09-28 00:20:10,172 Epoch[9] Batch [44200] Speed: 10.54 samples/sec Train-Accuracy=0.842857
2016-09-28 00:20:47,541 Epoch[9] Batch [44250] Speed: 10.70 samples/sec Train-Accuracy=0.838571
2016-09-28 00:21:25,243 Epoch[9] Batch [44300] Speed: 10.61 samples/sec Train-Accuracy=0.814286
2016-09-28 00:22:02,941 Epoch[9] Batch [44350] Speed: 10.61 samples/sec Train-Accuracy=0.868571
2016-09-28 00:22:40,849 Epoch[9] Batch [44400] Speed: 10.55 samples/sec Train-Accuracy=0.838571
2016-09-28 00:23:18,803 Epoch[9] Batch [44450] Speed: 10.54 samples/sec Train-Accuracy=0.837143
2016-09-28 00:23:56,876 Epoch[9] Batch [44500] Speed: 10.51 samples/sec Train-Accuracy=0.852857
2016-09-28 00:24:34,781 Epoch[9] Batch [44550] Speed: 10.55 samples/sec Train-Accuracy=0.810000
2016-09-28 00:25:13,906 Epoch[9] Batch [44600] Speed: 10.22 samples/sec Train-Accuracy=0.841429
2016-09-28 00:25:51,460 Epoch[9] Batch [44650] Speed: 10.65 samples/sec Train-Accuracy=0.877143
2016-09-28 00:26:28,606 Epoch[9] Batch [44700] Speed: 10.77 samples/sec Train-Accuracy=0.880000
2016-09-28 00:27:05,873 Epoch[9] Batch [44750] Speed: 10.73 samples/sec Train-Accuracy=0.842857
2016-09-28 00:27:43,145 Epoch[9] Batch [44800] Speed: 10.73 samples/sec Train-Accuracy=0.861429
2016-09-28 00:28:20,405 Epoch[9] Batch [44850] Speed: 10.74 samples/sec Train-Accuracy=0.840000
2016-09-28 00:28:57,732 Epoch[9] Batch [44900] Speed: 10.72 samples/sec Train-Accuracy=0.858571
2016-09-28 00:29:35,048 Epoch[9] Batch [44950] Speed: 10.72 samples/sec Train-Accuracy=0.874286
2016-09-28 00:30:12,563 Epoch[9] Batch [45000] Speed: 10.66 samples/sec Train-Accuracy=0.817143
2016-09-28 00:30:49,876 Epoch[9] Batch [45050] Speed: 10.72 samples/sec Train-Accuracy=0.847143
2016-09-28 00:31:26,983 Epoch[9] Batch [45100] Speed: 10.78 samples/sec Train-Accuracy=0.857143
2016-09-28 00:32:04,083 Epoch[9] Batch [45150] Speed: 10.78 samples/sec Train-Accuracy=0.870000
2016-09-28 00:32:44,163 Epoch[9] Batch [45200] Speed: 9.98 samples/sec Train-Accuracy=0.851429
2016-09-28 00:33:26,568 Epoch[9] Batch [45250] Speed: 9.43 samples/sec Train-Accuracy=0.842857
2016-09-28 00:34:07,043 Epoch[9] Batch [45300] Speed: 9.88 samples/sec Train-Accuracy=0.868571
2016-09-28 00:34:46,329 Epoch[9] Batch [45350] Speed: 10.18 samples/sec Train-Accuracy=0.881429
2016-09-28 00:35:23,561 Epoch[9] Batch [45400] Speed: 10.74 samples/sec Train-Accuracy=0.868571
2016-09-28 00:36:00,778 Epoch[9] Batch [45450] Speed: 10.75 samples/sec Train-Accuracy=0.845714
2016-09-28 00:36:37,718 Epoch[9] Batch [45500] Speed: 10.83 samples/sec Train-Accuracy=0.830000
2016-09-28 00:37:14,983 Epoch[9] Batch [45550] Speed: 10.73 samples/sec Train-Accuracy=0.861429
2016-09-28 00:37:51,998 Epoch[9] Batch [45600] Speed: 10.81 samples/sec Train-Accuracy=0.862857
2016-09-28 00:38:28,982 Epoch[9] Batch [45650] Speed: 10.82 samples/sec Train-Accuracy=0.882857
2016-09-28 00:39:05,968 Epoch[9] Batch [45700] Speed: 10.82 samples/sec Train-Accuracy=0.874286
2016-09-28 00:39:43,005 Epoch[9] Batch [45750] Speed: 10.80 samples/sec Train-Accuracy=0.851429
2016-09-28 00:40:22,241 Epoch[9] Batch [45800] Speed: 10.19 samples/sec Train-Accuracy=0.862857
2016-09-28 00:41:02,834 Epoch[9] Batch [45850] Speed: 9.85 samples/sec Train-Accuracy=0.865714
2016-09-28 00:41:40,079 Epoch[9] Batch [45900] Speed: 10.74 samples/sec Train-Accuracy=0.840000
2016-09-28 00:42:17,090 Epoch[9] Batch [45950] Speed: 10.81 samples/sec Train-Accuracy=0.871429
2016-09-28 00:42:54,456 Epoch[9] Batch [46000] Speed: 10.71 samples/sec Train-Accuracy=0.880000
2016-09-28 00:43:32,139 Epoch[9] Batch [46050] Speed: 10.61 samples/sec Train-Accuracy=0.828571
2016-09-28 00:44:09,481 Epoch[9] Batch [46100] Speed: 10.71 samples/sec Train-Accuracy=0.838571
2016-09-28 00:44:46,404 Epoch[9] Batch [46150] Speed: 10.83 samples/sec Train-Accuracy=0.844286
2016-09-28 00:45:23,399 Epoch[9] Batch [46200] Speed: 10.81 samples/sec Train-Accuracy=0.827143
2016-09-28 00:46:00,502 Epoch[9] Batch [46250] Speed: 10.78 samples/sec Train-Accuracy=0.864286
2016-09-28 00:46:38,684 Epoch[9] Batch [46300] Speed: 10.48 samples/sec Train-Accuracy=0.858571
2016-09-28 00:47:19,005 Epoch[9] Batch [46350] Speed: 9.92 samples/sec Train-Accuracy=0.850000
2016-09-28 00:47:59,247 Epoch[9] Batch [46400] Speed: 9.94 samples/sec Train-Accuracy=0.850000
2016-09-28 00:48:39,364 Epoch[9] Batch [46450] Speed: 9.97 samples/sec Train-Accuracy=0.851429
2016-09-28 00:49:20,846 Epoch[9] Batch [46500] Speed: 9.64 samples/sec Train-Accuracy=0.844286
2016-09-28 00:49:59,223 Epoch[9] Batch [46550] Speed: 10.42 samples/sec Train-Accuracy=0.852857
2016-09-28 00:50:41,587 Epoch[9] Batch [46600] Speed: 9.44 samples/sec Train-Accuracy=0.852857
2016-09-28 00:51:23,136 Epoch[9] Batch [46650] Speed: 9.63 samples/sec Train-Accuracy=0.838571
2016-09-28 00:52:03,135 Epoch[9] Batch [46700] Speed: 10.00 samples/sec Train-Accuracy=0.864286
2016-09-28 00:52:42,883 Epoch[9] Batch [46750] Speed: 10.06 samples/sec Train-Accuracy=0.882857
2016-09-28 00:53:22,411 Epoch[9] Batch [46800] Speed: 10.12 samples/sec Train-Accuracy=0.818571
2016-09-28 00:53:59,688 Epoch[9] Batch [46850] Speed: 10.73 samples/sec Train-Accuracy=0.855714
2016-09-28 00:54:41,629 Epoch[9] Batch [46900] Speed: 9.54 samples/sec Train-Accuracy=0.854286
2016-09-28 00:55:23,029 Epoch[9] Batch [46950] Speed: 9.66 samples/sec Train-Accuracy=0.848571
2016-09-28 00:56:04,213 Epoch[9] Batch [47000] Speed: 9.71 samples/sec Train-Accuracy=0.882857
2016-09-28 00:56:45,342 Epoch[9] Batch [47050] Speed: 9.73 samples/sec Train-Accuracy=0.844286
2016-09-28 00:57:24,041 Epoch[9] Batch [47100] Speed: 10.34 samples/sec Train-Accuracy=0.850000
2016-09-28 00:58:02,135 Epoch[9] Batch [47150] Speed: 10.50 samples/sec Train-Accuracy=0.852857
2016-09-28 00:58:39,897 Epoch[9] Batch [47200] Speed: 10.59 samples/sec Train-Accuracy=0.852857
2016-09-28 00:59:18,085 Epoch[9] Batch [47250] Speed: 10.47 samples/sec Train-Accuracy=0.872857
2016-09-28 00:59:57,052 Epoch[9] Batch [47300] Speed: 10.27 samples/sec Train-Accuracy=0.848571
2016-09-28 01:00:36,899 Epoch[9] Batch [47350] Speed: 10.04 samples/sec Train-Accuracy=0.852857
2016-09-28 01:01:16,437 Epoch[9] Batch [47400] Speed: 10.12 samples/sec Train-Accuracy=0.842857
2016-09-28 01:01:55,966 Epoch[9] Batch [47450] Speed: 10.12 samples/sec Train-Accuracy=0.841429
2016-09-28 01:02:36,048 Epoch[9] Batch [47500] Speed: 9.98 samples/sec Train-Accuracy=0.855714
2016-09-28 01:03:17,314 Epoch[9] Batch [47550] Speed: 9.69 samples/sec Train-Accuracy=0.845714
2016-09-28 01:03:58,387 Epoch[9] Batch [47600] Speed: 9.74 samples/sec Train-Accuracy=0.864286
2016-09-28 01:04:38,513 Epoch[9] Batch [47650] Speed: 9.97 samples/sec Train-Accuracy=0.857143
2016-09-28 01:05:16,781 Epoch[9] Batch [47700] Speed: 10.45 samples/sec Train-Accuracy=0.841429
2016-09-28 01:05:54,557 Epoch[9] Batch [47750] Speed: 10.59 samples/sec Train-Accuracy=0.842857
2016-09-28 01:06:32,232 Epoch[9] Batch [47800] Speed: 10.62 samples/sec Train-Accuracy=0.867143
2016-09-28 01:07:08,743 Epoch[9] Batch [47850] Speed: 10.96 samples/sec Train-Accuracy=0.822857
2016-09-28 01:07:45,150 Epoch[9] Batch [47900] Speed: 10.99 samples/sec Train-Accuracy=0.871429
2016-09-28 01:08:21,578 Epoch[9] Batch [47950] Speed: 10.98 samples/sec Train-Accuracy=0.845714
2016-09-28 01:08:57,927 Epoch[9] Batch [48000] Speed: 11.00 samples/sec Train-Accuracy=0.860000
2016-09-28 01:09:34,395 Epoch[9] Batch [48050] Speed: 10.97 samples/sec Train-Accuracy=0.824286
2016-09-28 01:10:10,821 Epoch[9] Batch [48100] Speed: 10.98 samples/sec Train-Accuracy=0.834286
2016-09-28 01:10:47,183 Epoch[9] Batch [48150] Speed: 11.00 samples/sec Train-Accuracy=0.887143
2016-09-28 01:11:23,694 Epoch[9] Batch [48200] Speed: 10.96 samples/sec Train-Accuracy=0.840000
2016-09-28 01:12:01,135 Epoch[9] Batch [48250] Speed: 10.68 samples/sec Train-Accuracy=0.847143
2016-09-28 01:12:37,451 Epoch[9] Batch [48300] Speed: 11.01 samples/sec Train-Accuracy=0.874286
2016-09-28 01:13:13,785 Epoch[9] Batch [48350] Speed: 11.01 samples/sec Train-Accuracy=0.872857
2016-09-28 01:13:50,092 Epoch[9] Batch [48400] Speed: 11.02 samples/sec Train-Accuracy=0.844286
2016-09-28 01:14:26,408 Epoch[9] Batch [48450] Speed: 11.01 samples/sec Train-Accuracy=0.862857
2016-09-28 01:15:02,714 Epoch[9] Batch [48500] Speed: 11.02 samples/sec Train-Accuracy=0.844286
2016-09-28 01:15:38,991 Epoch[9] Batch [48550] Speed: 11.03 samples/sec Train-Accuracy=0.865714
2016-09-28 01:16:15,243 Epoch[9] Batch [48600] Speed: 11.03 samples/sec Train-Accuracy=0.847143
2016-09-28 01:16:51,467 Epoch[9] Batch [48650] Speed: 11.04 samples/sec Train-Accuracy=0.854286
2016-09-28 01:17:27,778 Epoch[9] Batch [48700] Speed: 11.02 samples/sec Train-Accuracy=0.832857
2016-09-28 01:18:04,141 Epoch[9] Batch [48750] Speed: 11.00 samples/sec Train-Accuracy=0.857143
2016-09-28 01:18:40,486 Epoch[9] Batch [48800] Speed: 11.01 samples/sec Train-Accuracy=0.842857
2016-09-28 01:19:16,747 Epoch[9] Batch [48850] Speed: 11.03 samples/sec Train-Accuracy=0.855714
2016-09-28 01:19:53,006 Epoch[9] Batch [48900] Speed: 11.03 samples/sec Train-Accuracy=0.884286
2016-09-28 01:20:29,146 Epoch[9] Batch [48950] Speed: 11.07 samples/sec Train-Accuracy=0.840000
2016-09-28 01:21:05,448 Epoch[9] Batch [49000] Speed: 11.02 samples/sec Train-Accuracy=0.900000
2016-09-28 01:21:41,715 Epoch[9] Batch [49050] Speed: 11.03 samples/sec Train-Accuracy=0.857143
2016-09-28 01:22:17,910 Epoch[9] Batch [49100] Speed: 11.05 samples/sec Train-Accuracy=0.838571
2016-09-28 01:22:54,199 Epoch[9] Batch [49150] Speed: 11.02 samples/sec Train-Accuracy=0.832857
2016-09-28 01:23:30,506 Epoch[9] Batch [49200] Speed: 11.02 samples/sec Train-Accuracy=0.855714
2016-09-28 01:24:06,804 Epoch[9] Batch [49250] Speed: 11.02 samples/sec Train-Accuracy=0.832857
2016-09-28 01:24:43,094 Epoch[9] Batch [49300] Speed: 11.02 samples/sec Train-Accuracy=0.835714
2016-09-28 01:25:19,340 Epoch[9] Batch [49350] Speed: 11.04 samples/sec Train-Accuracy=0.850000
2016-09-28 01:25:55,596 Epoch[9] Batch [49400] Speed: 11.03 samples/sec Train-Accuracy=0.860000
2016-09-28 01:26:31,887 Epoch[9] Batch [49450] Speed: 11.02 samples/sec Train-Accuracy=0.844286
2016-09-28 01:27:08,276 Epoch[9] Batch [49500] Speed: 10.99 samples/sec Train-Accuracy=0.885714
2016-09-28 01:27:44,686 Epoch[9] Batch [49550] Speed: 10.99 samples/sec Train-Accuracy=0.844286
2016-09-28 01:28:20,988 Epoch[9] Batch [49600] Speed: 11.02 samples/sec Train-Accuracy=0.848571
2016-09-28 01:28:57,463 Epoch[9] Batch [49650] Speed: 10.97 samples/sec Train-Accuracy=0.807143
2016-09-28 01:29:35,508 Epoch[9] Batch [49700] Speed: 10.51 samples/sec Train-Accuracy=0.844286
2016-09-28 01:30:13,124 Epoch[9] Batch [49750] Speed: 10.63 samples/sec Train-Accuracy=0.862857
2016-09-28 01:30:50,587 Epoch[9] Batch [49800] Speed: 10.68 samples/sec Train-Accuracy=0.862857
2016-09-28 01:31:27,377 Epoch[9] Batch [49850] Speed: 10.87 samples/sec Train-Accuracy=0.854286
2016-09-28 01:32:03,806 Epoch[9] Batch [49900] Speed: 10.98 samples/sec Train-Accuracy=0.867143
2016-09-28 01:32:40,233 Epoch[9] Batch [49950] Speed: 10.98 samples/sec Train-Accuracy=0.858571
2016-09-28 01:33:16,623 Epoch[9] Batch [50000] Speed: 10.99 samples/sec Train-Accuracy=0.875714
2016-09-28 01:33:53,043 Epoch[9] Batch [50050] Speed: 10.98 samples/sec Train-Accuracy=0.847143
2016-09-28 01:34:29,466 Epoch[9] Batch [50100] Speed: 10.98 samples/sec Train-Accuracy=0.850000
2016-09-28 01:35:05,969 Epoch[9] Batch [50150] Speed: 10.96 samples/sec Train-Accuracy=0.871429
2016-09-28 01:35:42,431 Epoch[9] Batch [50200] Speed: 10.97 samples/sec Train-Accuracy=0.868571
2016-09-28 01:36:18,946 Epoch[9] Batch [50250] Speed: 10.95 samples/sec Train-Accuracy=0.864286
2016-09-28 01:36:55,581 Epoch[9] Batch [50300] Speed: 10.92 samples/sec Train-Accuracy=0.862857
2016-09-28 01:37:32,216 Epoch[9] Batch [50350] Speed: 10.92 samples/sec Train-Accuracy=0.842857
2016-09-28 01:38:11,191 Epoch[9] Batch [50400] Speed: 10.26 samples/sec Train-Accuracy=0.861429
2016-09-28 01:38:48,934 Epoch[9] Batch [50450] Speed: 10.60 samples/sec Train-Accuracy=0.838571
2016-09-28 01:39:26,555 Epoch[9] Batch [50500] Speed: 10.63 samples/sec Train-Accuracy=0.871429
2016-09-28 01:40:04,354 Epoch[9] Batch [50550] Speed: 10.58 samples/sec Train-Accuracy=0.852857
2016-09-28 01:40:41,853 Epoch[9] Batch [50600] Speed: 10.67 samples/sec Train-Accuracy=0.821429
2016-09-28 01:41:19,266 Epoch[9] Batch [50650] Speed: 10.69 samples/sec Train-Accuracy=0.860000
2016-09-28 01:41:56,215 Epoch[9] Batch [50700] Speed: 10.83 samples/sec Train-Accuracy=0.862857
2016-09-28 01:42:32,365 Epoch[9] Batch [50750] Speed: 11.07 samples/sec Train-Accuracy=0.845714
2016-09-28 01:43:08,468 Epoch[9] Batch [50800] Speed: 11.08 samples/sec Train-Accuracy=0.847143
2016-09-28 01:43:44,599 Epoch[9] Batch [50850] Speed: 11.07 samples/sec Train-Accuracy=0.862857
2016-09-28 01:44:20,626 Epoch[9] Batch [50900] Speed: 11.10 samples/sec Train-Accuracy=0.840000
2016-09-28 01:44:56,623 Epoch[9] Batch [50950] Speed: 11.11 samples/sec Train-Accuracy=0.862857
2016-09-28 01:45:32,679 Epoch[9] Batch [51000] Speed: 11.09 samples/sec Train-Accuracy=0.872857
2016-09-28 01:46:08,706 Epoch[9] Batch [51050] Speed: 11.10 samples/sec Train-Accuracy=0.868571
2016-09-28 01:46:44,700 Epoch[9] Batch [51100] Speed: 11.11 samples/sec Train-Accuracy=0.825714
2016-09-28 01:47:20,708 Epoch[9] Batch [51150] Speed: 11.11 samples/sec Train-Accuracy=0.832857
2016-09-28 01:47:56,724 Epoch[9] Batch [51200] Speed: 11.11 samples/sec Train-Accuracy=0.827143
2016-09-28 01:48:32,771 Epoch[9] Batch [51250] Speed: 11.10 samples/sec Train-Accuracy=0.840000
2016-09-28 01:49:09,608 Epoch[9] Batch [51300] Speed: 10.86 samples/sec Train-Accuracy=0.858571
2016-09-28 01:49:47,329 Epoch[9] Batch [51350] Speed: 10.60 samples/sec Train-Accuracy=0.881429
2016-09-28 01:50:24,998 Epoch[9] Batch [51400] Speed: 10.62 samples/sec Train-Accuracy=0.840000
2016-09-28 01:51:02,027 Epoch[9] Batch [51450] Speed: 10.80 samples/sec Train-Accuracy=0.850000
2016-09-28 01:51:38,923 Epoch[9] Batch [51500] Speed: 10.84 samples/sec Train-Accuracy=0.855714
2016-09-28 01:52:16,020 Epoch[9] Batch [51550] Speed: 10.78 samples/sec Train-Accuracy=0.835714
2016-09-28 01:52:54,571 Epoch[9] Batch [51600] Speed: 10.38 samples/sec Train-Accuracy=0.852857
2016-09-28 01:53:32,297 Epoch[9] Batch [51650] Speed: 10.60 samples/sec Train-Accuracy=0.871429
2016-09-28 01:54:09,327 Epoch[9] Batch [51700] Speed: 10.80 samples/sec Train-Accuracy=0.838571
2016-09-28 01:54:46,153 Epoch[9] Batch [51750] Speed: 10.86 samples/sec Train-Accuracy=0.854286
2016-09-28 01:55:23,078 Epoch[9] Batch [51800] Speed: 10.83 samples/sec Train-Accuracy=0.862857
2016-09-28 01:55:59,901 Epoch[9] Batch [51850] Speed: 10.86 samples/sec Train-Accuracy=0.870000
2016-09-28 01:56:36,885 Epoch[9] Batch [51900] Speed: 10.82 samples/sec Train-Accuracy=0.838571
2016-09-28 01:57:13,829 Epoch[9] Batch [51950] Speed: 10.83 samples/sec Train-Accuracy=0.855714
2016-09-28 01:57:53,317 Epoch[9] Batch [52000] Speed: 10.13 samples/sec Train-Accuracy=0.848571
2016-09-28 01:58:31,149 Epoch[9] Batch [52050] Speed: 10.57 samples/sec Train-Accuracy=0.885714
2016-09-28 01:59:08,806 Epoch[9] Batch [52100] Speed: 10.62 samples/sec Train-Accuracy=0.858571
2016-09-28 01:59:46,400 Epoch[9] Batch [52150] Speed: 10.64 samples/sec Train-Accuracy=0.852857
2016-09-28 02:00:23,878 Epoch[9] Batch [52200] Speed: 10.67 samples/sec Train-Accuracy=0.834286
2016-09-28 02:01:01,996 Epoch[9] Batch [52250] Speed: 10.49 samples/sec Train-Accuracy=0.878571
2016-09-28 02:01:39,819 Epoch[9] Batch [52300] Speed: 10.58 samples/sec Train-Accuracy=0.855714
2016-09-28 02:02:16,289 Epoch[9] Batch [52350] Speed: 10.97 samples/sec Train-Accuracy=0.840000
2016-09-28 02:02:52,654 Epoch[9] Batch [52400] Speed: 11.00 samples/sec Train-Accuracy=0.855714
2016-09-28 02:03:29,060 Epoch[9] Batch [52450] Speed: 10.99 samples/sec Train-Accuracy=0.827143
2016-09-28 02:04:08,686 Epoch[9] Batch [52500] Speed: 10.09 samples/sec Train-Accuracy=0.854286
2016-09-28 02:04:50,879 Epoch[9] Batch [52550] Speed: 9.48 samples/sec Train-Accuracy=0.834286
2016-09-28 02:05:28,509 Epoch[9] Batch [52600] Speed: 10.63 samples/sec Train-Accuracy=0.862857
2016-09-28 02:06:09,420 Epoch[9] Batch [52650] Speed: 9.78 samples/sec Train-Accuracy=0.840000
2016-09-28 02:06:45,863 Epoch[9] Batch [52700] Speed: 10.98 samples/sec Train-Accuracy=0.834286
2016-09-28 02:07:22,426 Epoch[9] Batch [52750] Speed: 10.94 samples/sec Train-Accuracy=0.824286
2016-09-28 02:07:59,368 Epoch[9] Batch [52800] Speed: 10.83 samples/sec Train-Accuracy=0.832857
2016-09-28 02:08:36,245 Epoch[9] Batch [52850] Speed: 10.85 samples/sec Train-Accuracy=0.841429
2016-09-28 02:09:12,863 Epoch[9] Batch [52900] Speed: 10.92 samples/sec Train-Accuracy=0.785714
2016-09-28 02:09:49,489 Epoch[9] Batch [52950] Speed: 10.92 samples/sec Train-Accuracy=0.845714
2016-09-28 02:10:26,617 Epoch[9] Batch [53000] Speed: 10.77 samples/sec Train-Accuracy=0.848571
2016-09-28 02:11:04,084 Epoch[9] Batch [53050] Speed: 10.68 samples/sec Train-Accuracy=0.858571
2016-09-28 02:11:40,759 Epoch[9] Batch [53100] Speed: 10.91 samples/sec Train-Accuracy=0.850000
2016-09-28 02:12:17,448 Epoch[9] Batch [53150] Speed: 10.90 samples/sec Train-Accuracy=0.847143
2016-09-28 02:12:55,321 Epoch[9] Batch [53200] Speed: 10.56 samples/sec Train-Accuracy=0.822857
2016-09-28 02:13:31,848 Epoch[9] Batch [53250] Speed: 10.95 samples/sec Train-Accuracy=0.840000
2016-09-28 02:14:08,307 Epoch[9] Batch [53300] Speed: 10.97 samples/sec Train-Accuracy=0.888571
2016-09-28 02:14:44,678 Epoch[9] Batch [53350] Speed: 11.00 samples/sec Train-Accuracy=0.815714
2016-09-28 02:15:21,065 Epoch[9] Batch [53400] Speed: 10.99 samples/sec Train-Accuracy=0.860000
2016-09-28 02:15:57,428 Epoch[9] Batch [53450] Speed: 11.00 samples/sec Train-Accuracy=0.878571
2016-09-28 02:16:33,794 Epoch[9] Batch [53500] Speed: 11.00 samples/sec Train-Accuracy=0.860000
2016-09-28 02:17:10,151 Epoch[9] Batch [53550] Speed: 11.00 samples/sec Train-Accuracy=0.842857
2016-09-28 02:17:46,478 Epoch[9] Batch [53600] Speed: 11.01 samples/sec Train-Accuracy=0.848571
2016-09-28 02:18:22,899 Epoch[9] Batch [53650] Speed: 10.98 samples/sec Train-Accuracy=0.880000
2016-09-28 02:18:59,719 Epoch[9] Batch [53700] Speed: 10.86 samples/sec Train-Accuracy=0.841429
2016-09-28 02:19:36,411 Epoch[9] Batch [53750] Speed: 10.90 samples/sec Train-Accuracy=0.858571
2016-09-28 02:20:13,186 Epoch[9] Batch [53800] Speed: 10.88 samples/sec Train-Accuracy=0.837143
2016-09-28 02:20:50,144 Epoch[9] Batch [53850] Speed: 10.82 samples/sec Train-Accuracy=0.857143
2016-09-28 02:21:30,108 Epoch[9] Batch [53900] Speed: 10.01 samples/sec Train-Accuracy=0.844286
2016-09-28 02:22:10,405 Epoch[9] Batch [53950] Speed: 9.93 samples/sec Train-Accuracy=0.860000
2016-09-28 02:22:50,219 Epoch[9] Batch [54000] Speed: 10.05 samples/sec Train-Accuracy=0.847143
2016-09-28 02:23:29,062 Epoch[9] Batch [54050] Speed: 10.30 samples/sec Train-Accuracy=0.845714
2016-09-28 02:24:07,981 Epoch[9] Batch [54100] Speed: 10.28 samples/sec Train-Accuracy=0.855714
2016-09-28 02:24:48,435 Epoch[9] Batch [54150] Speed: 9.89 samples/sec Train-Accuracy=0.860000
2016-09-28 02:25:30,531 Epoch[9] Batch [54200] Speed: 9.50 samples/sec Train-Accuracy=0.875714
2016-09-28 02:26:09,965 Epoch[9] Batch [54250] Speed: 10.14 samples/sec Train-Accuracy=0.822857
2016-09-28 02:26:48,808 Epoch[9] Batch [54300] Speed: 10.30 samples/sec Train-Accuracy=0.875714
2016-09-28 02:27:26,943 Epoch[9] Batch [54350] Speed: 10.49 samples/sec Train-Accuracy=0.875714
2016-09-28 02:28:04,966 Epoch[9] Batch [54400] Speed: 10.52 samples/sec Train-Accuracy=0.820000
2016-09-28 02:28:42,992 Epoch[9] Batch [54450] Speed: 10.52 samples/sec Train-Accuracy=0.858571
2016-09-28 02:29:21,758 Epoch[9] Batch [54500] Speed: 10.32 samples/sec Train-Accuracy=0.837143
2016-09-28 02:30:02,676 Epoch[9] Batch [54550] Speed: 9.78 samples/sec Train-Accuracy=0.872857
2016-09-28 02:30:44,262 Epoch[9] Batch [54600] Speed: 9.62 samples/sec Train-Accuracy=0.825714
2016-09-28 02:31:22,532 Epoch[9] Batch [54650] Speed: 10.45 samples/sec Train-Accuracy=0.827143
2016-09-28 02:32:01,472 Epoch[9] Batch [54700] Speed: 10.27 samples/sec Train-Accuracy=0.841429
2016-09-28 02:32:41,409 Epoch[9] Batch [54750] Speed: 10.02 samples/sec Train-Accuracy=0.875714
2016-09-28 02:33:21,079 Epoch[9] Batch [54800] Speed: 10.08 samples/sec Train-Accuracy=0.841429
2016-09-28 02:33:59,979 Epoch[9] Batch [54850] Speed: 10.28 samples/sec Train-Accuracy=0.865714
2016-09-28 02:34:38,822 Epoch[9] Batch [54900] Speed: 10.30 samples/sec Train-Accuracy=0.807143
2016-09-28 02:35:18,115 Epoch[9] Batch [54950] Speed: 10.18 samples/sec Train-Accuracy=0.832857
2016-09-28 02:35:56,906 Epoch[9] Batch [55000] Speed: 10.31 samples/sec Train-Accuracy=0.861429
2016-09-28 02:36:34,180 Epoch[9] Batch [55050] Speed: 10.73 samples/sec Train-Accuracy=0.860000
2016-09-28 02:37:13,565 Epoch[9] Batch [55100] Speed: 10.16 samples/sec Train-Accuracy=0.874286
2016-09-28 02:37:52,806 Epoch[9] Batch [55150] Speed: 10.19 samples/sec Train-Accuracy=0.841429
2016-09-28 02:38:32,235 Epoch[9] Batch [55200] Speed: 10.14 samples/sec Train-Accuracy=0.858571
2016-09-28 02:39:13,019 Epoch[9] Batch [55250] Speed: 9.81 samples/sec Train-Accuracy=0.862857
2016-09-28 02:39:53,529 Epoch[9] Batch [55300] Speed: 9.87 samples/sec Train-Accuracy=0.877143
2016-09-28 02:40:32,570 Epoch[9] Batch [55350] Speed: 10.25 samples/sec Train-Accuracy=0.885714
2016-09-28 02:41:10,369 Epoch[9] Batch [55400] Speed: 10.58 samples/sec Train-Accuracy=0.861429
2016-09-28 02:41:47,948 Epoch[9] Batch [55450] Speed: 10.64 samples/sec Train-Accuracy=0.840000
2016-09-28 02:42:26,959 Epoch[9] Batch [55500] Speed: 10.25 samples/sec Train-Accuracy=0.847143
2016-09-28 02:43:06,186 Epoch[9] Batch [55550] Speed: 10.20 samples/sec Train-Accuracy=0.850000
2016-09-28 02:43:46,780 Epoch[9] Batch [55600] Speed: 9.85 samples/sec Train-Accuracy=0.852857
2016-09-28 02:44:26,910 Epoch[9] Batch [55650] Speed: 9.97 samples/sec Train-Accuracy=0.861429
2016-09-28 02:45:08,123 Epoch[9] Batch [55700] Speed: 9.71 samples/sec Train-Accuracy=0.838571
2016-09-28 02:45:49,064 Epoch[9] Batch [55750] Speed: 9.77 samples/sec Train-Accuracy=0.858571
2016-09-28 02:46:28,650 Epoch[9] Batch [55800] Speed: 10.10 samples/sec Train-Accuracy=0.867143
2016-09-28 02:47:09,406 Epoch[9] Batch [55850] Speed: 9.81 samples/sec Train-Accuracy=0.827143
2016-09-28 02:47:49,805 Epoch[9] Batch [55900] Speed: 9.90 samples/sec Train-Accuracy=0.870000
2016-09-28 02:48:30,733 Epoch[9] Batch [55950] Speed: 9.77 samples/sec Train-Accuracy=0.867143
2016-09-28 02:49:10,572 Epoch[9] Batch [56000] Speed: 10.04 samples/sec Train-Accuracy=0.842857
2016-09-28 02:49:50,833 Epoch[9] Batch [56050] Speed: 9.94 samples/sec Train-Accuracy=0.860000
2016-09-28 02:50:31,801 Epoch[9] Batch [56100] Speed: 9.76 samples/sec Train-Accuracy=0.852857
2016-09-28 02:51:10,178 Epoch[9] Batch [56150] Speed: 10.42 samples/sec Train-Accuracy=0.861429
2016-09-28 02:51:47,626 Epoch[9] Batch [56200] Speed: 10.68 samples/sec Train-Accuracy=0.844286
2016-09-28 02:52:25,143 Epoch[9] Batch [56250] Speed: 10.66 samples/sec Train-Accuracy=0.827143
2016-09-28 02:53:02,583 Epoch[9] Batch [56300] Speed: 10.68 samples/sec Train-Accuracy=0.831429
2016-09-28 02:53:40,180 Epoch[9] Batch [56350] Speed: 10.64 samples/sec Train-Accuracy=0.857143
2016-09-28 02:54:20,671 Epoch[9] Batch [56400] Speed: 9.88 samples/sec Train-Accuracy=0.848571
2016-09-28 02:54:58,151 Epoch[9] Batch [56450] Speed: 10.67 samples/sec Train-Accuracy=0.875714
2016-09-28 02:55:35,645 Epoch[9] Batch [56500] Speed: 10.67 samples/sec Train-Accuracy=0.855714
2016-09-28 02:56:13,379 Epoch[9] Batch [56550] Speed: 10.60 samples/sec Train-Accuracy=0.855714
2016-09-28 02:56:51,029 Epoch[9] Batch [56600] Speed: 10.62 samples/sec Train-Accuracy=0.858571
2016-09-28 02:57:27,687 Epoch[9] Batch [56650] Speed: 10.91 samples/sec Train-Accuracy=0.857143
2016-09-28 02:58:08,642 Epoch[9] Batch [56700] Speed: 9.77 samples/sec Train-Accuracy=0.855714
2016-09-28 02:58:49,679 Epoch[9] Batch [56750] Speed: 9.75 samples/sec Train-Accuracy=0.871429
2016-09-28 02:59:29,308 Epoch[9] Batch [56800] Speed: 10.09 samples/sec Train-Accuracy=0.858571
2016-09-28 03:00:08,991 Epoch[9] Batch [56850] Speed: 10.08 samples/sec Train-Accuracy=0.842857
2016-09-28 03:00:48,775 Epoch[9] Batch [56900] Speed: 10.05 samples/sec Train-Accuracy=0.874286
2016-09-28 03:01:26,572 Epoch[9] Batch [56950] Speed: 10.58 samples/sec Train-Accuracy=0.857143
2016-09-28 03:02:04,182 Epoch[9] Batch [57000] Speed: 10.64 samples/sec Train-Accuracy=0.860000
2016-09-28 03:02:41,541 Epoch[9] Batch [57050] Speed: 10.71 samples/sec Train-Accuracy=0.881429
2016-09-28 03:03:19,093 Epoch[9] Batch [57100] Speed: 10.65 samples/sec Train-Accuracy=0.862857
2016-09-28 03:03:57,053 Epoch[9] Batch [57150] Speed: 10.54 samples/sec Train-Accuracy=0.857143
2016-09-28 03:04:35,832 Epoch[9] Batch [57200] Speed: 10.32 samples/sec Train-Accuracy=0.854286
2016-09-28 03:05:16,517 Epoch[9] Batch [57250] Speed: 9.83 samples/sec Train-Accuracy=0.861429
2016-09-28 03:05:57,541 Epoch[9] Batch [57300] Speed: 9.75 samples/sec Train-Accuracy=0.798571
2016-09-28 03:06:36,520 Epoch[9] Batch [57350] Speed: 10.26 samples/sec Train-Accuracy=0.882857
2016-09-28 03:07:14,254 Epoch[9] Batch [57400] Speed: 10.60 samples/sec Train-Accuracy=0.834286
2016-09-28 03:07:51,716 Epoch[9] Batch [57450] Speed: 10.68 samples/sec Train-Accuracy=0.838571
2016-09-28 03:08:29,978 Epoch[9] Batch [57500] Speed: 10.45 samples/sec Train-Accuracy=0.841429
2016-09-28 03:09:08,637 Epoch[9] Batch [57550] Speed: 10.35 samples/sec Train-Accuracy=0.850000
2016-09-28 03:09:47,288 Epoch[9] Batch [57600] Speed: 10.35 samples/sec Train-Accuracy=0.845714
2016-09-28 03:10:26,090 Epoch[9] Batch [57650] Speed: 10.31 samples/sec Train-Accuracy=0.874286
2016-09-28 03:11:04,349 Epoch[9] Batch [57700] Speed: 10.45 samples/sec Train-Accuracy=0.847143
2016-09-28 03:11:42,474 Epoch[9] Batch [57750] Speed: 10.49 samples/sec Train-Accuracy=0.824286
2016-09-28 03:12:20,730 Epoch[9] Batch [57800] Speed: 10.46 samples/sec Train-Accuracy=0.858571
2016-09-28 03:12:59,069 Epoch[9] Batch [57850] Speed: 10.43 samples/sec Train-Accuracy=0.860000
2016-09-28 03:13:37,478 Epoch[9] Batch [57900] Speed: 10.41 samples/sec Train-Accuracy=0.814286
2016-09-28 03:14:15,823 Epoch[9] Batch [57950] Speed: 10.43 samples/sec Train-Accuracy=0.805714
2016-09-28 03:14:53,833 Epoch[9] Batch [58000] Speed: 10.52 samples/sec Train-Accuracy=0.854286
2016-09-28 03:15:32,477 Epoch[9] Batch [58050] Speed: 10.35 samples/sec Train-Accuracy=0.844286
2016-09-28 03:16:11,122 Epoch[9] Batch [58100] Speed: 10.35 samples/sec Train-Accuracy=0.838571
2016-09-28 03:16:49,513 Epoch[9] Batch [58150] Speed: 10.42 samples/sec Train-Accuracy=0.842857
2016-09-28 03:17:29,600 Epoch[9] Batch [58200] Speed: 9.98 samples/sec Train-Accuracy=0.857143
2016-09-28 03:18:06,893 Epoch[9] Batch [58250] Speed: 10.73 samples/sec Train-Accuracy=0.840000
2016-09-28 03:18:44,374 Epoch[9] Batch [58300] Speed: 10.67 samples/sec Train-Accuracy=0.847143
2016-09-28 03:19:24,006 Epoch[9] Batch [58350] Speed: 10.09 samples/sec Train-Accuracy=0.844286
2016-09-28 03:20:04,199 Epoch[9] Batch [58400] Speed: 9.95 samples/sec Train-Accuracy=0.830000
2016-09-28 03:20:42,488 Epoch[9] Batch [58450] Speed: 10.45 samples/sec Train-Accuracy=0.800000
2016-09-28 03:21:20,558 Epoch[9] Batch [58500] Speed: 10.51 samples/sec Train-Accuracy=0.848571
2016-09-28 03:21:58,872 Epoch[9] Batch [58550] Speed: 10.44 samples/sec Train-Accuracy=0.862857
2016-09-28 03:22:37,042 Epoch[9] Batch [58600] Speed: 10.48 samples/sec Train-Accuracy=0.862857
2016-09-28 03:23:15,063 Epoch[9] Batch [58650] Speed: 10.52 samples/sec Train-Accuracy=0.860000
2016-09-28 03:23:53,165 Epoch[9] Batch [58700] Speed: 10.50 samples/sec Train-Accuracy=0.861429
2016-09-28 03:24:32,670 Epoch[9] Batch [58750] Speed: 10.13 samples/sec Train-Accuracy=0.862857
2016-09-28 03:25:11,396 Epoch[9] Batch [58800] Speed: 10.33 samples/sec Train-Accuracy=0.878571
2016-09-28 03:25:49,236 Epoch[9] Batch [58850] Speed: 10.57 samples/sec Train-Accuracy=0.844286
2016-09-28 03:26:27,407 Epoch[9] Batch [58900] Speed: 10.48 samples/sec Train-Accuracy=0.868571
2016-09-28 03:27:05,993 Epoch[9] Batch [58950] Speed: 10.37 samples/sec Train-Accuracy=0.855714
2016-09-28 03:27:44,498 Epoch[9] Batch [59000] Speed: 10.39 samples/sec Train-Accuracy=0.840000
2016-09-28 03:28:22,792 Epoch[9] Batch [59050] Speed: 10.45 samples/sec Train-Accuracy=0.867143
2016-09-28 03:29:01,573 Epoch[9] Batch [59100] Speed: 10.31 samples/sec Train-Accuracy=0.828571
2016-09-28 03:29:40,287 Epoch[9] Batch [59150] Speed: 10.33 samples/sec Train-Accuracy=0.847143
2016-09-28 03:30:18,451 Epoch[9] Batch [59200] Speed: 10.48 samples/sec Train-Accuracy=0.832857
2016-09-28 03:30:56,444 Epoch[9] Batch [59250] Speed: 10.53 samples/sec Train-Accuracy=0.845714
2016-09-28 03:31:34,715 Epoch[9] Batch [59300] Speed: 10.45 samples/sec Train-Accuracy=0.872857
2016-09-28 03:32:12,407 Epoch[9] Batch [59350] Speed: 10.61 samples/sec Train-Accuracy=0.867143
2016-09-28 03:32:52,007 Epoch[9] Batch [59400] Speed: 10.10 samples/sec Train-Accuracy=0.847143
2016-09-28 03:33:32,129 Epoch[9] Batch [59450] Speed: 9.97 samples/sec Train-Accuracy=0.870000
2016-09-28 03:34:11,172 Epoch[9] Batch [59500] Speed: 10.25 samples/sec Train-Accuracy=0.851429
2016-09-28 03:34:50,679 Epoch[9] Batch [59550] Speed: 10.12 samples/sec Train-Accuracy=0.851429
2016-09-28 03:35:29,931 Epoch[9] Batch [59600] Speed: 10.19 samples/sec Train-Accuracy=0.837143
2016-09-28 03:36:10,251 Epoch[9] Batch [59650] Speed: 9.92 samples/sec Train-Accuracy=0.857143
2016-09-28 03:36:48,069 Epoch[9] Batch [59700] Speed: 10.58 samples/sec Train-Accuracy=0.850000
2016-09-28 03:37:26,548 Epoch[9] Batch [59750] Speed: 10.40 samples/sec Train-Accuracy=0.860000
2016-09-28 03:38:07,560 Epoch[9] Batch [59800] Speed: 9.75 samples/sec Train-Accuracy=0.854286
2016-09-28 03:38:48,853 Epoch[9] Batch [59850] Speed: 9.69 samples/sec Train-Accuracy=0.881429
2016-09-28 03:39:31,003 Epoch[9] Batch [59900] Speed: 9.49 samples/sec Train-Accuracy=0.845714
2016-09-28 03:40:11,249 Epoch[9] Batch [59950] Speed: 9.94 samples/sec Train-Accuracy=0.857143
2016-09-28 03:40:51,414 Epoch[9] Batch [60000] Speed: 9.96 samples/sec Train-Accuracy=0.855714
2016-09-28 03:41:29,164 Epoch[9] Batch [60050] Speed: 10.60 samples/sec Train-Accuracy=0.860000
2016-09-28 03:42:05,977 Epoch[9] Batch [60100] Speed: 10.87 samples/sec Train-Accuracy=0.867143
2016-09-28 03:42:42,535 Epoch[9] Batch [60150] Speed: 10.94 samples/sec Train-Accuracy=0.855714
2016-09-28 03:43:19,198 Epoch[9] Batch [60200] Speed: 10.91 samples/sec Train-Accuracy=0.864286
2016-09-28 03:43:55,783 Epoch[9] Batch [60250] Speed: 10.93 samples/sec Train-Accuracy=0.834286
2016-09-28 03:44:32,627 Epoch[9] Batch [60300] Speed: 10.86 samples/sec Train-Accuracy=0.861429
2016-09-28 03:45:11,901 Epoch[9] Batch [60350] Speed: 10.19 samples/sec Train-Accuracy=0.812857
2016-09-28 03:45:53,774 Epoch[9] Batch [60400] Speed: 9.55 samples/sec Train-Accuracy=0.828571
2016-09-28 03:46:30,702 Epoch[9] Batch [60450] Speed: 10.83 samples/sec Train-Accuracy=0.840000
2016-09-28 03:47:07,262 Epoch[9] Batch [60500] Speed: 10.94 samples/sec Train-Accuracy=0.854286
2016-09-28 03:47:43,606 Epoch[9] Batch [60550] Speed: 11.01 samples/sec Train-Accuracy=0.831429
2016-09-28 03:48:19,933 Epoch[9] Batch [60600] Speed: 11.01 samples/sec Train-Accuracy=0.854286
2016-09-28 03:48:56,561 Epoch[9] Batch [60650] Speed: 10.92 samples/sec Train-Accuracy=0.868571
2016-09-28 03:49:33,592 Epoch[9] Batch [60700] Speed: 10.80 samples/sec Train-Accuracy=0.857143
2016-09-28 03:50:10,139 Epoch[9] Batch [60750] Speed: 10.94 samples/sec Train-Accuracy=0.840000
2016-09-28 03:50:46,796 Epoch[9] Batch [60800] Speed: 10.91 samples/sec Train-Accuracy=0.878571
2016-09-28 03:51:23,586 Epoch[9] Batch [60850] Speed: 10.87 samples/sec Train-Accuracy=0.818571
2016-09-28 03:52:00,393 Epoch[9] Batch [60900] Speed: 10.87 samples/sec Train-Accuracy=0.857143
2016-09-28 03:52:37,641 Epoch[9] Batch [60950] Speed: 10.74 samples/sec Train-Accuracy=0.842857
2016-09-28 03:53:14,703 Epoch[9] Batch [61000] Speed: 10.79 samples/sec Train-Accuracy=0.852857
2016-09-28 03:53:51,684 Epoch[9] Batch [61050] Speed: 10.82 samples/sec Train-Accuracy=0.847143
2016-09-28 03:54:28,547 Epoch[9] Batch [61100] Speed: 10.85 samples/sec Train-Accuracy=0.858571
2016-09-28 03:55:05,536 Epoch[9] Batch [61150] Speed: 10.81 samples/sec Train-Accuracy=0.851429
2016-09-28 03:55:42,659 Epoch[9] Batch [61200] Speed: 10.78 samples/sec Train-Accuracy=0.885714
2016-09-28 03:56:19,843 Epoch[9] Batch [61250] Speed: 10.76 samples/sec Train-Accuracy=0.874286
2016-09-28 03:56:57,873 Epoch[9] Batch [61300] Speed: 10.52 samples/sec Train-Accuracy=0.858571
2016-09-28 03:57:35,067 Epoch[9] Batch [61350] Speed: 10.75 samples/sec Train-Accuracy=0.851429
2016-09-28 03:58:12,908 Epoch[9] Batch [61400] Speed: 10.57 samples/sec Train-Accuracy=0.848571
2016-09-28 03:58:50,373 Epoch[9] Batch [61450] Speed: 10.68 samples/sec Train-Accuracy=0.847143
2016-09-28 03:59:27,040 Epoch[9] Batch [61500] Speed: 10.91 samples/sec Train-Accuracy=0.861429
2016-09-28 04:00:03,762 Epoch[9] Batch [61550] Speed: 10.89 samples/sec Train-Accuracy=0.852857
2016-09-28 04:00:40,517 Epoch[9] Batch [61600] Speed: 10.88 samples/sec Train-Accuracy=0.891429
2016-09-28 04:01:17,015 Epoch[9] Batch [61650] Speed: 10.96 samples/sec Train-Accuracy=0.870000
2016-09-28 04:01:53,764 Epoch[9] Batch [61700] Speed: 10.88 samples/sec Train-Accuracy=0.825714
2016-09-28 04:02:31,648 Epoch[9] Batch [61750] Speed: 10.56 samples/sec Train-Accuracy=0.847143
2016-09-28 04:03:12,113 Epoch[9] Batch [61800] Speed: 9.89 samples/sec Train-Accuracy=0.838571
2016-09-28 04:03:51,952 Epoch[9] Batch [61850] Speed: 10.04 samples/sec Train-Accuracy=0.848571
2016-09-28 04:04:31,191 Epoch[9] Batch [61900] Speed: 10.19 samples/sec Train-Accuracy=0.864286
2016-09-28 04:05:08,970 Epoch[9] Batch [61950] Speed: 10.59 samples/sec Train-Accuracy=0.861429
2016-09-28 04:05:46,994 Epoch[9] Batch [62000] Speed: 10.52 samples/sec Train-Accuracy=0.861429
2016-09-28 04:06:25,046 Epoch[9] Batch [62050] Speed: 10.51 samples/sec Train-Accuracy=0.862857
2016-09-28 04:07:05,555 Epoch[9] Batch [62100] Speed: 9.87 samples/sec Train-Accuracy=0.821429
2016-09-28 04:07:45,602 Epoch[9] Batch [62150] Speed: 9.99 samples/sec Train-Accuracy=0.855714
2016-09-28 04:08:23,904 Epoch[9] Batch [62200] Speed: 10.44 samples/sec Train-Accuracy=0.844286
2016-09-28 04:09:01,835 Epoch[9] Batch [62250] Speed: 10.55 samples/sec Train-Accuracy=0.865714
2016-09-28 04:09:38,416 Epoch[9] Batch [62300] Speed: 10.93 samples/sec Train-Accuracy=0.844286
2016-09-28 04:10:15,495 Epoch[9] Batch [62350] Speed: 10.79 samples/sec Train-Accuracy=0.842857
2016-09-28 04:10:52,357 Epoch[9] Batch [62400] Speed: 10.85 samples/sec Train-Accuracy=0.828571
2016-09-28 04:11:29,327 Epoch[9] Batch [62450] Speed: 10.82 samples/sec Train-Accuracy=0.847143
2016-09-28 04:12:08,858 Epoch[9] Batch [62500] Speed: 10.12 samples/sec Train-Accuracy=0.868571
2016-09-28 04:12:08,859 Epoch[9] Resetting Data Iterator
2016-09-28 04:12:08,859 Epoch[9] Time cost=46936.456
2016-09-28 04:13:07,322 Epoch[9] Validation-Accuracy=0.850286
2016-09-28 04:13:07,468 Saved checkpoint to "cnn-ocr-0010.params"
('\xe9\x84\x82G80QFU', [17, 47, 39, 31, 55, 46, 59])