2016-04-17T14:07:26.276309 ### 1/231, train_loss = 4.05650071364, time = 0.49
2016-04-17T14:07:26.992418 ### 2/231, train_loss = 3.87492041955, time = 0.72
2016-04-17T14:07:27.728969 ### 3/231, train_loss = 3.2181441087, time = 0.74
2016-04-17T14:07:28.517323 ### 4/231, train_loss = 3.18248314491, time = 0.79
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2016-04-17T14:07:30.741024 ### 7/231, train_loss = 3.16477402907, time = 0.74
2016-04-17T14:07:31.337270 ###  Checkpoint saved 
2016-04-17T14:07:31.678723 ### 8/231, train_loss = 3.13181128869, time = 0.94
2016-04-17T14:07:32.423382 ### 9/231, train_loss = 3.14864572378, time = 0.74
2016-04-17T14:07:33.169071 ### 10/231, train_loss = 3.15441871056, time = 0.75
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2016-04-17T14:07:35.430332 ### 13/231, train_loss = 3.12095524715, time = 0.75
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2016-04-17T14:07:36.928698 ### 15/231, train_loss = 3.02244661771, time = 0.75
2016-04-17T14:07:37.386241 ###  Checkpoint saved 
2016-04-17T14:07:37.875101 ### 16/231, train_loss = 3.09299152081, time = 0.95
2016-04-17T14:07:38.629785 ### 17/231, train_loss = 3.06307584322, time = 0.75
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2016-04-17T14:07:43.140193 ### 23/231, train_loss = 2.93667320838, time = 0.75
2016-04-17T14:07:43.452404 ###  Checkpoint saved 
2016-04-17T14:07:44.135461 ### 24/231, train_loss = 2.89327204778, time = 1.00
2016-04-17T14:07:44.886986 ### 25/231, train_loss = 2.91369957557, time = 0.75
2016-04-17T14:07:45.660481 ### 26/231, train_loss = 2.82230130709, time = 0.77
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2016-04-17T14:07:48.672989 ### 30/231, train_loss = 2.74224524865, time = 0.76
2016-04-17T14:07:49.317598 ###  Checkpoint saved 
2016-04-17T14:07:49.623179 ### 31/231, train_loss = 2.74345562275, time = 0.95
2016-04-17T14:07:50.377250 ### 32/231, train_loss = 2.72177241399, time = 0.75
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2016-04-17T14:07:55.409600 ###  Checkpoint saved 
2016-04-17T14:07:55.859726 ### 39/231, train_loss = 2.54211449256, time = 0.94
2016-04-17T14:07:56.613458 ### 40/231, train_loss = 2.53333059458, time = 0.75
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2016-04-17T14:08:01.583718 ###  Checkpoint saved 
2016-04-17T14:08:02.181714 ### 47/231, train_loss = 2.30022442157, time = 0.95
2016-04-17T14:08:02.939207 ### 48/231, train_loss = 2.29255347619, time = 0.76
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2016-04-17T14:08:07.434663 ###  Checkpoint saved 
2016-04-17T14:08:07.698634 ### 54/231, train_loss = 2.07738929162, time = 0.95
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2016-04-17T14:08:13.577128 ###  Checkpoint saved 
2016-04-17T14:08:13.991084 ### 62/231, train_loss = 1.87981684758, time = 0.95
2016-04-17T14:08:14.751419 ### 63/231, train_loss = 1.81532850999, time = 0.76
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2016-04-17T14:08:19.719396 ###  Checkpoint saved 
2016-04-17T14:08:20.282092 ### 70/231, train_loss = 1.61803107628, time = 0.95
2016-04-17T14:08:21.061415 ### 71/231, train_loss = 1.51639639047, time = 0.78
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2016-04-17T14:08:25.587321 ###  Checkpoint saved 
2016-04-17T14:08:25.818085 ### 77/231, train_loss = 1.41826864389, time = 0.95
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2016-04-17T14:08:31.777582 ###  Checkpoint saved 
2016-04-17T14:08:32.157474 ### 85/231, train_loss = 1.02559215839, time = 0.96
2016-04-17T14:08:32.937521 ### 86/231, train_loss = 1.05416799692, time = 0.78
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2016-04-17T14:08:38.013937 ###  Checkpoint saved 
2016-04-17T14:08:38.541155 ### 93/231, train_loss = 0.811085568942, time = 0.96
2016-04-17T14:08:39.332723 ### 94/231, train_loss = 0.836501488319, time = 0.79
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2016-04-17T14:08:45.394018 ### 100/231, train_loss = 0.670611865704, time = 0.89
2016-04-17T14:08:45.842643 ###  Checkpoint saved 
2016-04-17T14:08:46.527821 ### 101/231, train_loss = 0.662512617845, time = 1.13
2016-04-17T14:08:47.287886 ### 102/231, train_loss = 0.683525378887, time = 0.76
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2016-04-17T14:08:52.274680 ### 107/231, train_loss = 0.50740737915, time = 0.93
2016-04-17T14:08:52.998655 ###  Checkpoint saved 
2016-04-17T14:08:53.397290 ### 108/231, train_loss = 0.508891648513, time = 1.12
2016-04-17T14:08:54.336362 ### 109/231, train_loss = 0.518165412316, time = 0.94
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2016-04-17T14:09:00.208404 ### 115/231, train_loss = 0.358004702055, time = 0.76
2016-04-17T14:09:00.681610 ###  Checkpoint saved 
2016-04-17T14:09:01.183828 ### 116/231, train_loss = 0.362404837975, time = 0.98
2016-04-17T14:09:01.992507 ### 117/231, train_loss = 0.309462033785, time = 0.81
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2016-04-17T14:09:06.897462 ###  Checkpoint saved 
2016-04-17T14:09:07.546404 ### 124/231, train_loss = 0.217398144649, time = 0.97
2016-04-17T14:09:08.308953 ### 125/231, train_loss = 0.2516931###########97, time = 0.76
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2016-04-17T14:09:12.793612 ###  Checkpoint saved 
2016-04-17T14:09:13.109844 ### 131/231, train_loss = 0.172643720187, time = 0.98
2016-04-17T14:09:13.930693 ### 132/231, train_loss = 0.166401701707, time = 0.82
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2016-04-17T14:09:19.037871 ###  Checkpoint saved 
2016-04-17T14:09:19.541286 ### 139/231, train_loss = 0.118302536011, time = 1.02
2016-04-17T14:09:20.302224 ### 140/231, train_loss = 0.115849524278, time = 0.76
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2016-04-17T14:09:25.281229 ###  Checkpoint saved 
2016-04-17T14:09:25.880288 ### 147/231, train_loss = 0.0849353056688, time = 0.95
2016-04-17T14:09:26.823909 ### 148/231, train_loss = 0.104348116655, time = 0.94
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2016-04-17T14:09:31.515027 ###  Checkpoint saved 
2016-04-17T14:09:31.784938 ### 154/231, train_loss = 0.0674084956829, time = 0.97
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2016-04-17T14:09:37.643062 ###  Checkpoint saved 
2016-04-17T14:09:38.055749 ### 162/231, train_loss = 0.0663176903358, time = 0.95
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2016-04-17T14:09:43.935708 ###  Checkpoint saved 
2016-04-17T14:09:44.493565 ### 170/231, train_loss = 0.0418192680065, time = 1.01
2016-04-17T14:09:45.251721 ### 171/231, train_loss = 0.0395669900454, time = 0.76
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2016-04-17T14:09:49.839431 ###  Checkpoint saved 
2016-04-17T14:09:50.070347 ### 177/231, train_loss = 0.0403821725112, time = 0.95
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2016-04-17T14:09:56.123439 ###  Checkpoint saved 
2016-04-17T14:09:56.497132 ### 185/231, train_loss = 0.0253776513613, time = 0.95
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2016-04-17T14:10:02.019518 ### 192/231, train_loss = 0.0258402530964, time = 0.76
2016-04-17T14:10:02.451182 ###  Checkpoint saved 
2016-04-17T14:10:02.974330 ### 193/231, train_loss = 0.0372694969177, time = 0.95
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2016-04-17T14:10:08.941184 ###  Checkpoint saved 
2016-04-17T14:10:09.604191 ### 201/231, train_loss = 0.0500940029438, time = 0.95
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2016-04-17T14:10:14.883000 ###  Checkpoint saved 
2016-04-17T14:10:15.224593 ### 208/231, train_loss = 0.0353284835815, time = 0.96
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2016-04-17T14:10:21.055996 ###  Checkpoint saved 
2016-04-17T14:10:21.545950 ### 216/231, train_loss = 0.034076833725, time = 0.96
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2016-04-17T14:10:27.230169 ###  Checkpoint saved 
2016-04-17T14:10:27.867472 ### 224/231, train_loss = 0.0156311695392, time = 0.96
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2016-04-17T14:10:33.170480 ###  Checkpoint saved 
2016-04-17T14:10:33.474864 ### 231/231, train_loss = 0.0205700837649, time = 0.95
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2016-04-17T14:10:39.345124 ###  Checkpoint saved 
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2016-04-17T14:10:45.560972 ###  Checkpoint saved 
2016-04-17T14:10:46.159405 ### 247/231, train_loss = 0.0276345069592, time = 0.95
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2016-04-17T14:10:51.425054 ###  Checkpoint saved 
2016-04-17T14:10:51.694181 ### 254/231, train_loss = 0.0306488587306, time = 0.95
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2016-04-17T14:10:57.542887 ###  Checkpoint saved 
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2016-04-17T14:11:03.719869 ###  Checkpoint saved 
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2016-04-17T14:11:09.548279 ###  Checkpoint saved 
2016-04-17T14:11:09.781327 ### 277/231, train_loss = 0.0150485616464, time = 0.95
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2016-04-17T14:11:15.687116 ###  Checkpoint saved 
2016-04-17T14:11:16.068489 ### 285/231, train_loss = 0.0259455020611, time = 0.95
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2016-04-17T14:11:21.785175 ###  Checkpoint saved 
2016-04-17T14:11:22.311415 ### 293/231, train_loss = 0.03739329118, time = 0.95
2016-04-17T14:11:23.067659 ### 294/231, train_loss = 0.0235089283723, time = 0.76
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2016-04-17T14:11:27.887251 ###  Checkpoint saved 
2016-04-17T14:11:28.546703 ### 301/231, train_loss = 0.0270327292956, time = 0.94
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2016-04-17T14:11:33.689566 ###  Checkpoint saved 
2016-04-17T14:11:34.033626 ### 308/231, train_loss = 0.0275142541298, time = 0.95
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2016-04-17T14:11:39.791106 ###  Checkpoint saved 
2016-04-17T14:11:40.274720 ### 316/231, train_loss = 0.0244268417358, time = 0.94
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2016-04-17T14:11:45.936369 ###  Checkpoint saved 
2016-04-17T14:11:46.566522 ### 324/231, train_loss = 0.0198655440257, time = 0.95
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2016-04-17T14:11:51.746201 ###  Checkpoint saved 
2016-04-17T14:11:52.051543 ### 331/231, train_loss = 0.0187290393389, time = 0.95
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2016-04-17T14:11:57.833318 ###  Checkpoint saved 
2016-04-17T14:11:58.287392 ### 339/231, train_loss = 0.0269523198788, time = 0.95
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2016-04-17T14:12:03.926435 ###  Checkpoint saved 
2016-04-17T14:12:04.523570 ### 347/231, train_loss = 0.0259935819186, time = 0.95
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2016-04-17T14:12:09.734238 ###  Checkpoint saved 
2016-04-17T14:12:10.002896 ### 354/231, train_loss = 0.0295385562457, time = 0.95
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2016-04-17T14:12:15.908856 ###  Checkpoint saved 
2016-04-17T14:12:16.321234 ### 362/231, train_loss = 0.027735051742, time = 0.95
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2016-04-17T14:12:22.007215 ###  Checkpoint saved 
2016-04-17T14:12:22.561993 ### 370/231, train_loss = 0.0202337686832, time = 0.94
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2016-04-17T14:12:27.832468 ###  Checkpoint saved 
2016-04-17T14:12:28.115901 ### 377/231, train_loss = 0.0198157365506, time = 1.00
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2016-04-17T14:12:33.983059 ###  Checkpoint saved 
2016-04-17T14:12:34.355615 ### 385/231, train_loss = 0.0224239716163, time = 0.95
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2016-04-17T14:12:40.090526 ###  Checkpoint saved 
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2016-04-17T14:12:46.269869 ###  Checkpoint saved 
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2016-04-17T14:12:52.075539 ###  Checkpoint saved 
2016-04-17T14:12:52.411816 ### 408/231, train_loss = 0.0319111567277, time = 0.94
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2016-04-17T14:12:58.189833 ###  Checkpoint saved 
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2016-04-17T14:13:04.295542 ###  Checkpoint saved 
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2016-04-17T14:13:10.109856 ###  Checkpoint saved 
2016-04-17T14:13:10.428257 ### 431/231, train_loss = 0.0160852725689, time = 0.97
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2016-04-17T14:13:16.240257 ###  Checkpoint saved 
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2016-04-17T14:13:22.348358 ###  Checkpoint saved 
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2016-04-17T14:13:28.193120 ###  Checkpoint saved 
2016-04-17T14:13:28.463990 ### 454/231, train_loss = 0.025880417457, time = 0.98
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2016-04-17T14:13:34.313816 ###  Checkpoint saved 
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2016-04-17T14:13:40.427820 ###  Checkpoint saved 
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2016-04-17T14:13:46.302567 ###  Checkpoint saved 
2016-04-17T14:13:46.536293 ### 477/231, train_loss = 0.0127261170974, time = 0.95
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2016-04-17T14:13:52.408554 ###  Checkpoint saved 
2016-04-17T14:13:52.787130 ### 485/231, train_loss = 0.0227638281309, time = 0.95
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2016-04-17T14:13:58.551134 ###  Checkpoint saved 
2016-04-17T14:13:59.076890 ### 493/231, train_loss = 0.0246589238827, time = 0.96
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2016-04-17T14:14:04.663741 ###  Checkpoint saved 
2016-04-17T14:14:05.320230 ### 501/231, train_loss = 0.0250256226613, time = 0.94
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2016-04-17T14:14:10.481608 ###  Checkpoint saved 
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2016-04-17T14:14:16.591404 ###  Checkpoint saved 
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2016-04-17T14:14:20.08###########6 ### 520/231, train_loss = 0.0151615151992, time = 0.75
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2016-04-17T14:14:22.681585 ###  Checkpoint saved 
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2016-04-17T14:14:24.072070 ### 525/231, train_loss = 0.01###########79460702, time = 0.76
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2016-04-17T14:14:28.551004 ###  Checkpoint saved 
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2016-04-17T14:14:34.647813 ###  Checkpoint saved 
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2016-04-17T14:14:40.743869 ###  Checkpoint saved 
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2016-04-17T14:14:46.605703 ###  Checkpoint saved 
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2016-04-17T14:14:52.703049 ###  Checkpoint saved 
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2016-04-17T14:14:58.447620 ### 569/231, train_loss = 0.0196555559452, time = 0.79
2016-04-17T14:14:58.837996 ###  Checkpoint saved 
2016-04-17T14:14:59.397819 ### 570/231, train_loss = 0.01793720172, time = 0.95
2016-04-17T14:15:00.150676 ### 571/231, train_loss = 0.0295369405013, time = 0.75
2016-04-17T14:15:00.904404 ### 572/231, train_loss = 0.0239560769154, time = 0.75
2016-04-17T14:15:01.658985 ### 573/231, train_loss = 0.01423784311, time = 0.75
2016-04-17T14:15:02.425009 ### 574/231, train_loss = 0.0228028792601, time = 0.77
2016-04-17T14:15:03.178828 ### 575/231, train_loss = 0.0300704240799, time = 0.75
2016-04-17T14:15:03.934109 ### 576/231, train_loss = 0.024793113195, time = 0.76
2016-04-17T14:15:04.650447 ###  Checkpoint saved 
2016-04-17T14:15:04.878784 ### 577/231, train_loss = 0.0156539715253, time = 0.94
2016-04-17T14:15:05.638165 ### 578/231, train_loss = 0.0229526226337, time = 0.76
2016-04-17T14:15:06.390768 ### 579/231, train_loss = 0.0301225130375, time = 0.75
2016-04-17T14:15:07.142646 ### 580/231, train_loss = 0.0224381281779, time = 0.75
2016-04-17T14:15:07.914542 ### 581/231, train_loss = 0.0254034665915, time = 0.77
2016-04-17T14:15:08.666435 ### 582/231, train_loss = 0.0270297545653, time = 0.75
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2016-04-17T14:15:10.174931 ### 584/231, train_loss = 0.0246448883644, time = 0.75
2016-04-17T14:15:10.745563 ###  Checkpoint saved 
2016-04-17T14:15:11.125002 ### 585/231, train_loss = 0.0345735659966, time = 0.95
2016-04-17T14:15:11.877436 ### 586/231, train_loss = 0.0275113637631, time = 0.75
2016-04-17T14:15:12.631874 ### 587/231, train_loss = 0.013549888134, time = 0.75
2016-04-17T14:15:13.385098 ### 588/231, train_loss = 0.0252872888859, time = 0.75
2016-04-17T14:15:14.211111 ### 589/231, train_loss = 0.0251958993765, time = 0.83
2016-04-17T14:15:14.964689 ### 590/231, train_loss = 0.036051940918, time = 0.75
2016-04-17T14:15:15.718872 ### 591/231, train_loss = 0.0223320630881, time = 0.75
2016-04-17T14:15:16.471705 ### 592/231, train_loss = 0.03044493015, time = 0.75
2016-04-17T14:15:16.895243 ###  Checkpoint saved 
2016-04-17T14:15:17.421293 ### 593/231, train_loss = 0.0220888871413, time = 0.95
2016-04-17T14:15:18.174257 ### 594/231, train_loss = 0.0206308291509, time = 0.75
2016-04-17T14:15:18.925683 ### 595/231, train_loss = 0.0223801521155, time = 0.75
2016-04-17T14:15:19.6###########78 ### 596/231, train_loss = 0.0238507545911, time = 0.77
2016-04-17T14:15:20.447210 ### 597/231, train_loss = 0.0194789207899, time = 0.75
2016-04-17T14:15:21.200958 ### 598/231, train_loss = 0.0155893050707, time = 0.75
2016-04-17T14:15:21.951288 ### 599/231, train_loss = 0.0241406495755, time = 0.75
2016-04-17T14:15:22.707492 ### 600/231, train_loss = 0.020###########9226561, time = 0.76
2016-04-17T14:15:22.985092 ###  Checkpoint saved 
2016-04-17T14:15:23.644984 ### 601/231, train_loss = 0.019693504847, time = 0.94
2016-04-17T14:15:24.398400 ### 602/231, train_loss = 0.0165165295968, time = 0.75
2016-04-17T14:15:25.150570 ### 603/231, train_loss = 0.0205126615671, time = 0.75
2016-04-17T14:15:25.914977 ### 604/231, train_loss = 0.0232822088095, time = 0.76
2016-04-17T14:15:26.668637 ### 605/231, train_loss = 0.018131014017, time = 0.75
2016-04-17T14:15:27.421383 ### 606/231, train_loss = 0.0330080069028, time = 0.75
2016-04-17T14:15:28.218491 ### 607/231, train_loss = 0.0162650108337, time = 0.80
2016-04-17T14:15:28.824459 ###  Checkpoint saved 
2016-04-17T14:15:29.168754 ### 608/231, train_loss = 0.0230525603661, time = 0.95
2016-04-17T14:15:29.920961 ### 609/231, train_loss = 0.0208581575981, time = 0.75
2016-04-17T14:15:30.674953 ### 610/231, train_loss = 0.0244083331181, time = 0.75
2016-04-17T14:15:31.448544 ### 611/231, train_loss = 0.024129491586, time = 0.77
2016-04-17T14:15:32.199687 ### 612/231, train_loss = 0.0211628308663, time = 0.75
2016-04-17T14:15:32.953315 ### 613/231, train_loss = 0.0209913400503, time = 0.75
2016-04-17T14:15:33.703860 ### 614/231, train_loss = 0.0278169668638, time = 0.75
2016-04-17T14:15:34.458993 ### 615/231, train_loss = 0.0181953411836, time = 0.76
2016-04-17T14:15:34.918381 ###  Checkpoint saved 
2016-04-17T14:15:35.406954 ### 616/231, train_loss = 0.0207649377676, time = 0.95
2016-04-17T14:15:36.160450 ### 617/231, train_loss = 0.0196156098292, time = 0.75
2016-04-17T14:15:36.912665 ### 618/231, train_loss = 0.0340506847088, time = 0.75
2016-04-17T14:15:37.678718 ### 619/231, train_loss = 0.0148999746029, time = 0.77
2016-04-17T14:15:38.432053 ### 620/231, train_loss = 0.0213383271144, time = 0.75
2016-04-17T14:15:39.184332 ### 621/231, train_loss = 0.0263405946585, time = 0.75
2016-04-17T14:15:39.936075 ### 622/231, train_loss = 0.0227634338232, time = 0.75
2016-04-17T14:15:40.690608 ### 623/231, train_loss = 0.0141625532737, time = 0.75
2016-04-17T14:15:41.005460 ###  Checkpoint saved 
2016-04-17T14:15:41.636798 ### 624/231, train_loss = 0.0257647917821, time = 0.95
2016-04-17T14:15:42.389188 ### 625/231, train_loss = 0.0272182904757, time = 0.75
2016-04-17T14:15:43.160899 ### 626/231, train_loss = 0.0231015407122, time = 0.77
2016-04-17T14:15:43.930265 ### 627/231, train_loss = 0.0161790077503, time = 0.77
2016-04-17T14:15:44.685934 ### 628/231, train_loss = 0.0256616519048, time = 0.76
2016-04-17T14:15:45.436858 ### 629/231, train_loss = 0.03260343625, time = 0.75
2016-04-17T14:15:46.192263 ### 630/231, train_loss = 0.0144872161058, time = 0.76
2016-04-17T14:15:46.835403 ###  Checkpoint saved 
2016-04-17T14:15:47.141060 ### 631/231, train_loss = 0.0337681880364, time = 0.95
2016-04-17T14:15:47.895308 ### 632/231, train_loss = 0.0291840058107, time = 0.75
2016-04-17T14:15:48.647370 ### 633/231, train_loss = 0.0223817880337, time = 0.75
2016-04-17T14:15:49.412572 ### 634/231, train_loss = 0.0142841394131, time = 0.77
2016-04-17T14:15:50.165203 ### 635/231, train_loss = 0.0244122505188, time = 0.75
2016-04-17T14:15:50.918753 ### 636/231, train_loss = 0.0295501819024, time = 0.75
2016-04-17T14:15:51.672162 ### 637/231, train_loss = 0.0157378618534, time = 0.75
2016-04-17T14:15:52.425605 ### 638/231, train_loss = 0.0224871910535, time = 0.75
2016-04-17T14:15:52.920441 ###  Checkpoint saved 
2016-04-17T14:15:53.374230 ### 639/231, train_loss = 0.0222025229381, time = 0.95
2016-04-17T14:15:54.125750 ### 640/231, train_loss = 0.0190334760226, time = 0.75
2016-04-17T14:15:54.899022 ### 641/231, train_loss = 0.0234792232513, time = 0.77
2016-04-17T14:15:55.650254 ### 642/231, train_loss = 0.0247810913966, time = 0.75
2016-04-17T14:15:56.407249 ### 643/231, train_loss = 0.0372603783241, time = 0.76
2016-04-17T14:15:57.159864 ### 644/231, train_loss = 0.0332960715661, time = 0.75
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2016-04-17T14:15:58.730099 ### 646/231, train_loss = 0.0259359359741, time = 0.81
2016-04-17T14:15:59.082401 ###  Checkpoint saved 
2016-04-17T14:15:59.682384 ### 647/231, train_loss = 0.0288183872516, time = 0.95
2016-04-17T14:16:00.436560 ### 648/231, train_loss = 0.0188396233779, time = 0.75
2016-04-17T14:16:01.202568 ### 649/231, train_loss = 0.022718842213, time = 0.77
2016-04-17T14:16:01.956115 ### 650/231, train_loss = 0.0363066123082, time = 0.75
2016-04-17T14:16:02.709702 ### 651/231, train_loss = 0.0162584396509, time = 0.75
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2016-04-17T14:16:04.215812 ### 653/231, train_loss = 0.0220324938114, time = 0.75
2016-04-17T14:16:04.894966 ###  Checkpoint saved 
2016-04-17T14:16:05.165156 ### 654/231, train_loss = 0.0236042187764, time = 0.95
2016-04-17T14:16:05.916900 ### 655/231, train_loss = 0.0186448390667, time = 0.75
2016-04-17T14:16:06.690442 ### 656/231, train_loss = 0.0231627042477, time = 0.77
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2016-04-17T14:16:09.702403 ### 660/231, train_loss = 0.0231787864978, time = 0.76
2016-04-17T14:16:10.455280 ### 661/231, train_loss = 0.0248382788438, time = 0.75
2016-04-17T14:16:10.988612 ###  Checkpoint saved 
2016-04-17T14:16:11.406166 ### 662/231, train_loss = 0.0167709368926, time = 0.95
2016-04-17T14:16:12.159608 ### 663/231, train_loss = 0.0201244684366, time = 0.75
2016-04-17T14:16:12.925541 ### 664/231, train_loss = 0.0248558979768, time = 0.77
2016-04-17T14:16:13.725596 ### 665/231, train_loss = 0.0275571052845, time = 0.80
2016-04-17T14:16:14.479962 ### 666/231, train_loss = 0.0111522096854, time = 0.75
2016-04-17T14:16:15.231077 ### 667/231, train_loss = 0.0296081506289, time = 0.75
2016-04-17T14:16:15.985297 ### 668/231, train_loss = 0.0322895673605, time = 0.75
2016-04-17T14:16:16.739340 ### 669/231, train_loss = 0.0153305741457, time = 0.75
2016-04-17T14:16:17.126276 ###  Checkpoint saved 
2016-04-17T14:16:17.685527 ### 670/231, train_loss = 0.0234039545059, time = 0.95
2016-04-17T14:16:18.458520 ### 671/231, train_loss = 0.024120919521, time = 0.77
2016-04-17T14:16:19.208824 ### 672/231, train_loss = 0.0297997052853, time = 0.75
2016-04-17T14:16:19.962615 ### 673/231, train_loss = 0.0127848661863, time = 0.75
2016-04-17T14:16:20.715018 ### 674/231, train_loss = 0.0292023805472, time = 0.75
2016-04-17T14:16:21.470373 ### 675/231, train_loss = 0.0234318696536, time = 0.76
2016-04-17T14:16:22.222441 ### 676/231, train_loss = 0.0263258475524, time = 0.75
2016-04-17T14:16:22.938849 ###  Checkpoint saved 
2016-04-17T14:16:23.167538 ### 677/231, train_loss = 0.0221809845704, time = 0.95
2016-04-17T14:16:23.919401 ### 678/231, train_loss = 0.0306565578167, time = 0.75
2016-04-17T14:16:24.682858 ### 679/231, train_loss = 0.0238186634504, time = 0.76
2016-04-17T14:16:25.434196 ### 680/231, train_loss = 0.0193560343522, time = 0.75
2016-04-17T14:16:26.186322 ### 681/231, train_loss = 0.0317645476415, time = 0.75
2016-04-17T14:16:26.936007 ### 682/231, train_loss = 0.032838175847, time = 0.75
2016-04-17T14:16:27.687433 ### 683/231, train_loss = 0.0234447699327, time = 0.75
2016-04-17T14:16:28.485815 ### 684/231, train_loss = 0.0201457793896, time = 0.80
2016-04-17T14:16:29.054566 ###  Checkpoint saved 
2016-04-17T14:16:29.432379 ### 685/231, train_loss = 0.0282146563897, time = 0.95
2016-04-17T14:16:30.203269 ### 686/231, train_loss = 0.024359695728, time = 0.77
2016-04-17T14:16:30.952234 ### 687/231, train_loss = 0.0187471829928, time = 0.75
2016-04-17T14:16:31.704611 ### 688/231, train_loss = 0.0262091398239, time = 0.75
2016-04-17T14:16:32.454381 ### 689/231, train_loss = 0.0204377027658, time = 0.75
2016-04-17T14:16:33.207138 ### 690/231, train_loss = 0.0238222764089, time = 0.75
2016-04-17T14:16:33.957390 ### 691/231, train_loss = 0.018313391392, time = 0.75
2016-04-17T14:16:34.709208 ### 692/231, train_loss = 0.0208400084422, time = 0.75
2016-04-17T14:16:35.130########### ###  Checkpoint saved 
2016-04-17T14:16:35.653838 ### 693/231, train_loss = 0.0304414950884, time = 0.94
2016-04-17T14:16:36.418729 ### 694/231, train_loss = 0.014827811718, time = 0.76
2016-04-17T14:16:37.168829 ### 695/231, train_loss = 0.0240156613863, time = 0.75
2016-04-17T14:16:37.917191 ### 696/231, train_loss = 0.0402702038105, time = 0.75
2016-04-17T14:16:38.665592 ### 697/231, train_loss = 0.0299790492425, time = 0.75
2016-04-17T14:16:39.416449 ### 698/231, train_loss = 0.0203991999993, time = 0.75
2016-04-17T14:16:40.165606 ### 699/231, train_loss = 0.0229244103798, time = 0.75
2016-04-17T14:16:40.914701 ### 700/231, train_loss = 0.0314512766325, time = 0.75
2016-04-17T14:16:41.192606 ###  Checkpoint saved 
2016-04-17T14:16:41.871302 ### 701/231, train_loss = 0.0214906857564, time = 0.96
2016-04-17T14:16:42.619488 ### 702/231, train_loss = 0.0233173847198, time = 0.75
2016-04-17T14:16:43.395091 ### 703/231, train_loss = 0.0187054707454, time = 0.78
2016-04-17T14:16:44.207143 ### 704/231, train_loss = 0.0215447517542, time = 0.81
2016-04-17T14:16:44.963418 ### 705/231, train_loss = 0.0140867205767, time = 0.76
2016-04-17T14:16:45.716029 ### 706/231, train_loss = 0.0253634929657, time = 0.75
2016-04-17T14:16:46.470791 ### 707/231, train_loss = 0.0247577355458, time = 0.75
2016-04-17T14:16:47.078741 ###  Checkpoint saved 
2016-04-17T14:16:47.422082 ### 708/231, train_loss = 0.0191340318093, time = 0.95
2016-04-17T14:16:48.188118 ### 709/231, train_loss = 0.0166567325592, time = 0.77
2016-04-17T14:16:48.943396 ### 710/231, train_loss = 0.0263202428818, time = 0.76
2016-04-17T14:16:49.698459 ### 711/231, train_loss = 0.0263460214321, time = 0.76
2016-04-17T14:16:50.451456 ### 712/231, train_loss = 0.0141994806436, time = 0.75
2016-04-17T14:16:51.205593 ### 713/231, train_loss = 0.033742416822, time = 0.75
2016-04-17T14:16:51.959595 ### 714/231, train_loss = 0.021508869758, time = 0.75
2016-04-17T14:16:52.713462 ### 715/231, train_loss = 0.0291749807505, time = 0.75
2016-04-17T14:16:53.177151 ###  Checkpoint saved 
2016-04-17T14:16:53.683555 ### 716/231, train_loss = 0.016430752094, time = 0.97
2016-04-17T14:16:54.435520 ### 717/231, train_loss = 0.0188615707251, time = 0.75
2016-04-17T14:16:55.190783 ### 718/231, train_loss = 0.0287420309507, time = 0.76
2016-04-17T14:16:55.942870 ### 719/231, train_loss = 0.0223394412261, time = 0.75
2016-04-17T14:16:56.699816 ### 720/231, train_loss = 0.0200718586261, time = 0.76
2016-04-17T14:16:57.454008 ### 721/231, train_loss = 0.02246328684, time = 0.75
2016-04-17T14:16:58.228143 ### 722/231, train_loss = 0.0247889573757, time = 0.77
2016-04-17T14:16:58.979510 ### 723/231, train_loss = 0.0152302311017, time = 0.75
2016-04-17T14:16:59.294431 ###  Checkpoint saved 
2016-04-17T14:16:59.937103 ### 724/231, train_loss = 0.0239324551362, time = 0.96
2016-04-17T14:17:00.691363 ### 725/231, train_loss = 0.0369898355924, time = 0.75
2016-04-17T14:17:01.442964 ### 726/231, train_loss = 0.0152551201674, time = 0.75
2016-04-17T14:17:02.197718 ### 727/231, train_loss = 0.0149213800064, time = 0.75
2016-04-17T14:17:02.949084 ### 728/231, train_loss = 0.0307889938354, time = 0.75
2016-04-17T14:17:03.699843 ### 729/231, train_loss = 0.0239298893855, time = 0.75
2016-04-17T14:17:04.449282 ### 730/231, train_loss = 0.0169095846323, time = 0.75
2016-04-17T14:17:05.093519 ###  Checkpoint saved 
2016-04-17T14:17:05.410421 ### 731/231, train_loss = 0.0187488629268, time = 0.96
2016-04-17T14:17:06.159900 ### 732/231, train_loss = 0.0331055494455, time = 0.75
2016-04-17T14:17:06.912852 ### 733/231, train_loss = 0.0141975072714, time = 0.75
2016-04-17T14:17:07.662205 ### 734/231, train_loss = 0.016730092122, time = 0.75
2016-04-17T14:17:08.416083 ### 735/231, train_loss = 0.0172003874412, time = 0.75
2016-04-17T14:17:09.166549 ### 736/231, train_loss = 0.0215102397479, time = 0.75
2016-04-17T14:17:09.918474 ### 737/231, train_loss = 0.0225628449367, time = 0.75
2016-04-17T14:17:10.670557 ### 738/231, train_loss = 0.0251635129635, time = 0.75
2016-04-17T14:17:11.179834 ###  Checkpoint saved 
2016-04-17T14:17:11.632829 ### 739/231, train_loss = 0.022718671652, time = 0.96
2016-04-17T14:17:12.382409 ### 740/231, train_loss = 0.0176111533092, time = 0.75
2016-04-17T14:17:13.133169 ### 741/231, train_loss = 0.0161759559925, time = 0.75
2016-04-17T14:17:13.958358 ### 742/231, train_loss = 0.0175507637171, time = 0.83
2016-04-17T14:17:14.710036 ### 743/231, train_loss = 0.0286209895061, time = 0.75
2016-04-17T14:17:15.459488 ### 744/231, train_loss = 0.0195336671976, time = 0.75
2016-04-17T14:17:16.210756 ### 745/231, train_loss = 0.0370264603541, time = 0.75
2016-04-17T14:17:16.979689 ### 746/231, train_loss = 0.0336091738481, time = 0.77
2016-04-17T14:17:17.329125 ###  Checkpoint saved 
2016-04-17T14:17:17.924464 ### 747/231, train_loss = 0.0354019531837, time = 0.94
2016-04-17T14:17:18.676354 ### 748/231, train_loss = 0.0133754601845, time = 0.75
2016-04-17T14:17:19.424922 ### 749/231, train_loss = 0.0150833056523, time = 0.75
2016-04-17T14:17:20.179529 ### 750/231, train_loss = 0.0301552479084, time = 0.75
2016-04-17T14:17:20.929345 ### 751/231, train_loss = 0.0220046905371, time = 0.75
2016-04-17T14:17:21.680986 ### 752/231, train_loss = 0.0222062129241, time = 0.75
2016-04-17T14:17:22.430601 ### 753/231, train_loss = 0.0157905285175, time = 0.75
2016-04-17T14:17:23.122650 ###  Checkpoint saved 
2016-04-17T14:17:23.392630 ### 754/231, train_loss = 0.0365459845616, time = 0.96
2016-04-17T14:17:24.142123 ### 755/231, train_loss = 0.0118583761729, time = 0.75
2016-04-17T14:17:24.893019 ### 756/231, train_loss = 0.0227388418638, time = 0.75
2016-04-17T14:17:25.643627 ### 757/231, train_loss = 0.0245549623783, time = 0.75
2016-04-17T14:17:26.395286 ### 758/231, train_loss = 0.0207537797781, time = 0.75
2016-04-17T14:17:27.145692 ### 759/231, train_loss = 0.0178863837169, time = 0.75
2016-04-17T14:17:27.895360 ### 760/231, train_loss = 0.0234562745461, time = 0.75
2016-04-17T14:17:28.691194 ### 761/231, train_loss = 0.0245260146948, time = 0.80
2016-04-17T14:17:29.222056 ###  Checkpoint saved 
2016-04-17T14:17:29.634436 ### 762/231, train_loss = 0.0136008877021, time = 0.94
2016-04-17T14:17:30.387388 ### 763/231, train_loss = 0.0248741314961, time = 0.75
2016-04-17T14:17:31.135430 ### 764/231, train_loss = 0.0185133677263, time = 0.75
2016-04-17T14:17:31.886327 ### 765/231, train_loss = 0.0267942667007, time = 0.75
2016-04-17T14:17:32.634870 ### 766/231, train_loss = 0.0267788208448, time = 0.75
2016-04-17T14:17:33.385522 ### 767/231, train_loss = 0.0378544990833, time = 0.75
2016-04-17T14:17:34.134914 ### 768/231, train_loss = 0.0253390330535, time = 0.75
2016-04-17T14:17:34.897807 ### 769/231, train_loss = 0.0132773005045, time = 0.76
2016-04-17T14:17:35.283127 ###  Checkpoint saved 
2016-04-17T14:17:35.841025 ### 770/231, train_loss = 0.0226457265707, time = 0.94
2016-04-17T14:17:36.591342 ### 771/231, train_loss = 0.0177902570138, time = 0.75
2016-04-17T14:17:37.339234 ### 772/231, train_loss = 0.0273387285379, time = 0.75
2016-04-17T14:17:38.089024 ### 773/231, train_loss = 0.0156683353277, time = 0.75
2016-04-17T14:17:38.838644 ### 774/231, train_loss = 0.0197462852185, time = 0.75
2016-04-17T14:17:39.586588 ### 775/231, train_loss = 0.0265975126853, time = 0.75
2016-04-17T14:17:40.355849 ### 776/231, train_loss = 0.0132829776177, time = 0.77
2016-04-17T14:17:41.066614 ###  Checkpoint saved 
2016-04-17T14:17:41.299190 ### 777/231, train_loss = 0.0195325227884, time = 0.94
2016-04-17T14:17:42.050417 ### 778/231, train_loss = 0.0252729911071, time = 0.75
2016-04-17T14:17:42.797237 ### 779/231, train_loss = 0.0184641764714, time = 0.75
2016-04-17T14:17:43.548541 ### 780/231, train_loss = 0.0158660925352, time = 0.75
2016-04-17T14:17:44.356387 ### 781/231, train_loss = 0.0233407002229, time = 0.81
2016-04-17T14:17:45.108806 ### 782/231, train_loss = 0.0334620952606, time = 0.75
2016-04-17T14:17:45.858444 ### 783/231, train_loss = 0.0173487003033, time = 0.75
2016-04-17T14:17:46.622211 ### 784/231, train_loss = 0.0182163953781, time = 0.76
2016-04-17T14:17:47.191758 ###  Checkpoint saved 
2016-04-17T14:17:47.567198 ### 785/231, train_loss = 0.0221106859354, time = 0.94
2016-04-17T14:17:48.319184 ### 786/231, train_loss = 0.0268258003088, time = 0.75
2016-04-17T14:17:49.069544 ### 787/231, train_loss = 0.0136118613757, time = 0.75
2016-04-17T14:17:49.821203 ### 788/231, train_loss = 0.0187784818503, time = 0.75
2016-04-17T14:17:50.574421 ### 789/231, train_loss = 0.0459077761723, time = 0.75
2016-04-17T14:17:51.324622 ### 790/231, train_loss = 0.0214937430162, time = 0.75
2016-04-17T14:17:52.095209 ### 791/231, train_loss = 0.0115171010678, time = 0.77
2016-04-17T14:17:52.844688 ### 792/231, train_loss = 0.0357399243575, time = 0.75
2016-04-17T14:17:53.269564 ###  Checkpoint saved 
2016-04-17T14:17:53.793911 ### 793/231, train_loss = 0.0249698602236, time = 0.95
2016-04-17T14:17:54.544350 ### 794/231, train_loss = 0.0118066631831, time = 0.75
2016-04-17T14:17:55.298681 ### 795/231, train_loss = 0.0215817689896, time = 0.75
2016-04-17T14:17:56.048971 ### 796/231, train_loss = 0.0282093598292, time = 0.75
2016-04-17T14:17:56.801351 ### 797/231, train_loss = 0.019956775812, time = 0.75
2016-04-17T14:17:57.552833 ### 798/231, train_loss = 0.0123366695184, time = 0.75
2016-04-17T14:17:58.369931 ### 799/231, train_loss = 0.021774163613, time = 0.82
2016-04-17T14:17:59.121347 ### 800/231, train_loss = 0.0330978430234, time = 0.75
2016-04-17T14:17:59.398191 ###  Checkpoint saved 
2016-04-17T14:18:00.061168 ### 801/231, train_loss = 0.0145410244281, time = 0.94
2016-04-17T14:18:00.810714 ### 802/231, train_loss = 0.0229518193465, time = 0.75
2016-04-17T14:18:01.563654 ### 803/231, train_loss = 0.0309161222898, time = 0.75
2016-04-17T14:18:02.315273 ### 804/231, train_loss = 0.0248735978053, time = 0.75
2016-04-17T14:18:03.066248 ### 805/231, train_loss = 0.0182698011398, time = 0.75
2016-04-17T14:18:03.838382 ### 806/231, train_loss = 0.0227257545178, time = 0.77
2016-04-17T14:18:04.588144 ### 807/231, train_loss = 0.0298402236058, time = 0.75
2016-04-17T14:18:05.195899 ###  Checkpoint saved 
2016-04-17T14:18:05.537058 ### 808/231, train_loss = 0.0169687674596, time = 0.95
2016-04-17T14:18:06.286708 ### 809/231, train_loss = 0.0227214079637, time = 0.75
2016-04-17T14:18:07.040873 ### 810/231, train_loss = 0.0216415405273, time = 0.75
2016-04-17T14:18:07.790893 ### 811/231, train_loss = 0.0265027413001, time = 0.75
2016-04-17T14:18:08.543742 ### 812/231, train_loss = 0.0177410419171, time = 0.75
2016-04-17T14:18:09.295192 ### 813/231, train_loss = 0.0173508955882, time = 0.75
2016-04-17T14:18:10.061046 ### 814/231, train_loss = 0.0382576282208, time = 0.77
2016-04-17T14:18:10.811700 ### 815/231, train_loss = 0.0263050061006, time = 0.75
2016-04-17T14:18:11.270076 ###  Checkpoint saved 
2016-04-17T14:18:11.754627 ### 816/231, train_loss = 0.0171245006415, time = 0.94
2016-04-17T14:18:12.504363 ### 817/231, train_loss = 0.0228424512423, time = 0.75
2016-04-17T14:18:13.256824 ### 818/231, train_loss = 0.039682157223, time = 0.75
2016-04-17T14:18:14.057871 ### 819/231, train_loss = 0.0247070129101, time = 0.80
2016-04-17T14:18:14.805436 ### 820/231, train_loss = 0.0190285939437, time = 0.75
2016-04-17T14:18:15.574522 ### 821/231, train_loss = 0.0233547008955, time = 0.77
2016-04-17T14:18:16.323130 ### 822/231, train_loss = 0.037840788181, time = 0.75
2016-04-17T14:18:17.075207 ### 823/231, train_loss = 0.0167011664464, time = 0.75
2016-04-17T14:18:17.387297 ###  Checkpoint saved 
2016-04-17T14:18:18.016099 ### 824/231, train_loss = 0.0319853819334, time = 0.94
2016-04-17T14:18:18.768589 ### 825/231, train_loss = 0.0238286715287, time = 0.75
2016-04-17T14:18:19.521365 ### 826/231, train_loss = 0.0187465796104, time = 0.75
2016-04-17T14:18:20.273533 ### 827/231, train_loss = 0.0268545994392, time = 0.75
2016-04-17T14:18:21.023437 ### 828/231, train_loss = 0.0249917030334, time = 0.75
2016-04-17T14:18:21.784592 ### 829/231, train_loss = 0.0332143893609, time = 0.76
2016-04-17T14:18:22.535020 ### 830/231, train_loss = 0.0112156317784, time = 0.75
2016-04-17T14:18:23.175692 ###  Checkpoint saved 
2016-04-17T14:18:23.476832 ### 831/231, train_loss = 0.044731598634, time = 0.94
2016-04-17T14:18:24.225263 ### 832/231, train_loss = 0.0345227388235, time = 0.75
2016-04-17T14:18:24.975455 ### 833/231, train_loss = 0.0153656583566, time = 0.75
2016-04-17T14:18:25.724663 ### 834/231, train_loss = 0.0222670408396, time = 0.75
2016-04-17T14:18:26.473745 ### 835/231, train_loss = 0.0279877992777, time = 0.75
2016-04-17T14:18:27.242587 ### 836/231, train_loss = 0.0313470913814, time = 0.77
2016-04-17T14:18:27.990981 ### 837/231, train_loss = 0.0133876607968, time = 0.75
2016-04-17T14:18:28.780549 ### 838/231, train_loss = 0.0198795997179, time = 0.79
2016-04-17T14:18:29.276119 ###  Checkpoint saved 
2016-04-17T14:18:29.725826 ### 839/231, train_loss = 0.0271314455913, time = 0.95
2016-04-17T14:18:30.481646 ### 840/231, train_loss = 0.0185###########479198, time = 0.76
2016-04-17T14:18:31.232749 ### 841/231, train_loss = 0.0192359557519, time = 0.75
2016-04-17T14:18:31.985692 ### 842/231, train_loss = 0.0247315663558, time = 0.75
2016-04-17T14:18:32.737034 ### 843/231, train_loss = 0.0204818890645, time = 0.75
2016-04-17T14:18:33.501269 ### 844/231, train_loss = 0.0195420778715, time = 0.76
2016-04-17T14:18:34.253253 ### 845/231, train_loss = 0.0220614543328, time = 0.75
2016-04-17T14:18:35.004971 ### 846/231, train_loss = 0.0188060246981, time = 0.75
2016-04-17T14:18:35.354951 ###  Checkpoint saved 
2016-04-17T14:18:35.947958 ### 847/231, train_loss = 0.0197620483545, time = 0.94
2016-04-17T14:18:36.702745 ### 848/231, train_loss = 0.0297785300475, time = 0.75
2016-04-17T14:18:37.455095 ### 849/231, train_loss = 0.0237191163577, time = 0.75
2016-04-17T14:18:38.205841 ### 850/231, train_loss = 0.0237766706027, time = 0.75
2016-04-17T14:18:38.976491 ### 851/231, train_loss = 0.0178357601166, time = 0.77
2016-04-17T14:18:39.725369 ### 852/231, train_loss = 0.022391974009, time = 0.75
2016-04-17T14:18:40.477505 ### 853/231, train_loss = 0.0194151273141, time = 0.75
2016-04-17T14:18:41.156639 ###  Checkpoint saved 
2016-04-17T14:18:41.426076 ### 854/231, train_loss = 0.0189293127794, time = 0.95
2016-04-17T14:18:42.181951 ### 855/231, train_loss = 0.0163446444731, time = 0.76
2016-04-17T14:18:42.934195 ### 856/231, train_loss = 0.0277959420131, time = 0.75
2016-04-17T14:18:43.705099 ### 857/231, train_loss = 0.0293419361115, time = 0.77
2016-04-17T14:18:44.477550 ### 858/231, train_loss = 0.0229440780786, time = 0.77
2016-04-17T14:18:45.243105 ### 859/231, train_loss = 0.0341767054338, time = 0.77
2016-04-17T14:18:45.9###########09 ### 860/231, train_loss = 0.0260568325336, time = 0.75
2016-04-17T14:18:46.750999 ### 861/231, train_loss = 0.0259231475683, time = 0.75
2016-04-17T14:18:47.284459 ###  Checkpoint saved 
2016-04-17T14:18:47.695563 ### 862/231, train_loss = 0.0227018686441, time = 0.94
2016-04-17T14:18:48.449014 ### 863/231, train_loss = 0.0207453287565, time = 0.75
2016-04-17T14:18:49.202762 ### 864/231, train_loss = 0.0303882984015, time = 0.75
2016-04-17T14:18:49.952727 ### 865/231, train_loss = 0.0244092244368, time = 0.75
2016-04-17T14:18:50.725325 ### 866/231, train_loss = 0.0212518031781, time = 0.77
2016-04-17T14:18:51.474110 ### 867/231, train_loss = 0.0192200147189, time = 0.75
2016-04-17T14:18:52.227310 ### 868/231, train_loss = 0.0274705831821, time = 0.75
2016-04-17T14:18:52.976667 ### 869/231, train_loss = 0.0168492757357, time = 0.75
2016-04-17T14:18:53.364971 ###  Checkpoint saved 
2016-04-17T14:18:53.927429 ### 870/231, train_loss = 0.0242871669623, time = 0.95
2016-04-17T14:18:54.679258 ### 871/231, train_loss = 0.023415514139, time = 0.75
2016-04-17T14:18:55.431947 ### 872/231, train_loss = 0.0288235902786, time = 0.75
2016-04-17T14:18:56.184483 ### 873/231, train_loss = 0.0277200368735, time = 0.75
2016-04-17T14:18:56.948854 ### 874/231, train_loss = 0.022032567171, time = 0.76
2016-04-17T14:18:57.701395 ### 875/231, train_loss = 0.0339512421535, time = 0.75
2016-04-17T14:18:58.514020 ### 876/231, train_loss = 0.0152266704119, time = 0.81
2016-04-17T14:18:59.228702 ###  Checkpoint saved 
2016-04-17T14:18:59.456588 ### 877/231, train_loss = 0.0194571421697, time = 0.94
2016-04-17T14:19:00.209136 ### 878/231, train_loss = 0.0289467774905, time = 0.75
2016-04-17T14:19:00.960182 ### 879/231, train_loss = 0.0233384572543, time = 0.75
2016-04-17T14:19:01.711090 ### 880/231, train_loss = 0.0121259588462, time = 0.75
2016-04-17T14:19:02.482464 ### 881/231, train_loss = 0.0295209352787, time = 0.77
2016-04-17T14:19:03.230836 ### 882/231, train_loss = 0.0419281482697, time = 0.75
2016-04-17T14:19:03.983684 ### 883/231, train_loss = 0.0186718280499, time = 0.75
2016-04-17T14:19:04.732923 ### 884/231, train_loss = 0.0177658172754, time = 0.75
2016-04-17T14:19:05.302767 ###  Checkpoint saved 
2016-04-17T14:19:05.677646 ### 885/231, train_loss = 0.0198941230774, time = 0.94
2016-04-17T14:19:06.429058 ### 886/231, train_loss = 0.0237346942608, time = 0.75
2016-04-17T14:19:07.180792 ### 887/231, train_loss = 0.0246322943614, time = 0.75
2016-04-17T14:19:07.932056 ### 888/231, train_loss = 0.0211150224392, time = 0.75
2016-04-17T14:19:08.696265 ### 889/231, train_loss = 0.0348941839658, time = 0.76
2016-04-17T14:19:09.448033 ### 890/231, train_loss = 0.0162466104214, time = 0.75
2016-04-17T14:19:10.200067 ### 891/231, train_loss = 0.0194795076664, time = 0.75
2016-04-17T14:19:10.950693 ### 892/231, train_loss = 0.0232535215525, time = 0.75
2016-04-17T14:19:11.373041 ###  Checkpoint saved 
2016-04-17T14:19:11.899138 ### 893/231, train_loss = 0.0217806155865, time = 0.95
2016-04-17T14:19:12.650195 ### 894/231, train_loss = 0.0196768760681, time = 0.75
2016-04-17T14:19:13.402491 ### 895/231, train_loss = 0.0252098762072, time = 0.75
2016-04-17T14:19:14.190579 ### 896/231, train_loss = 0.0284517948444, time = 0.79
2016-04-17T14:19:14.939642 ### 897/231, train_loss = 0.0163248979128, time = 0.75
2016-04-17T14:19:15.692813 ### 898/231, train_loss = 0.0195069588148, time = 0.75
2016-04-17T14:19:16.442611 ### 899/231, train_loss = 0.0204892341907, time = 0.75
2016-04-17T14:19:17.196212 ### 900/231, train_loss = 0.0234855651855, time = 0.75
2016-04-17T14:19:17.472426 ###  Checkpoint saved 
2016-04-17T14:19:18.128386 ### 901/231, train_loss = 0.019561461302, time = 0.93
2016-04-17T14:19:18.879364 ### 902/231, train_loss = 0.0219969529372, time = 0.75
2016-04-17T14:19:19.629566 ### 903/231, train_loss = 0.0356331128341, time = 0.75
2016-04-17T14:19:20.394495 ### 904/231, train_loss = 0.0224157168315, time = 0.76
2016-04-17T14:19:21.146918 ### 905/231, train_loss = 0.0151371781643, time = 0.75
2016-04-17T14:19:21.899144 ### 906/231, train_loss = 0.0278410086265, time = 0.75
2016-04-17T14:19:22.649671 ### 907/231, train_loss = 0.024917109196, time = 0.75
2016-04-17T14:19:23.256347 ###  Checkpoint saved 
2016-04-17T14:19:23.599949 ### 908/231, train_loss = 0.0133506949131, time = 0.95
2016-04-17T14:19:24.353331 ### 909/231, train_loss = 0.0206023839804, time = 0.75
2016-04-17T14:19:25.103610 ### 910/231, train_loss = 0.0364400533529, time = 0.75
2016-04-17T14:19:25.875714 ### 911/231, train_loss = 0.0208672688558, time = 0.77
2016-04-17T14:19:26.626486 ### 912/231, train_loss = 0.0185384383568, time = 0.75
2016-04-17T14:19:27.380195 ### 913/231, train_loss = 0.0165260168222, time = 0.75
2016-04-17T14:19:28.130781 ### 914/231, train_loss = 0.0282645959121, time = 0.75
2016-04-17T14:19:28.929792 ### 915/231, train_loss = 0.0172262026713, time = 0.80
2016-04-17T14:19:29.388208 ###  Checkpoint saved 
2016-04-17T14:19:29.873631 ### 916/231, train_loss = 0.026427###########2337, time = 0.94
2016-04-17T14:19:30.627362 ### 917/231, train_loss = 0.016064788745, time = 0.75
2016-04-17T14:19:31.378327 ### 918/231, train_loss = 0.0269291786047, time = 0.75
2016-04-17T14:19:32.142535 ### 919/231, train_loss = 0.0136106995436, time = 0.76
2016-04-17T14:19:32.894408 ### 920/231, train_loss = 0.024597129455, time = 0.75
2016-04-17T14:19:33.646293 ### 921/231, train_loss = 0.0212010805423, time = 0.75
2016-04-17T14:19:34.397220 ### 922/231, train_loss = 0.0318286272196, time = 0.75
2016-04-17T14:19:35.150200 ### 923/231, train_loss = 0.025885616816, time = 0.75
2016-04-17T14:19:35.463472 ###  Checkpoint saved 
2016-04-17T14:19:36.095420 ### 924/231, train_loss = 0.0176202939107, time = 0.95
2016-04-17T14:19:36.845277 ### 925/231, train_loss = 0.041863492819, time = 0.75
2016-04-17T14:19:37.616747 ### 926/231, train_loss = 0.0167019477257, time = 0.77
2016-04-17T14:19:38.366476 ### 927/231, train_loss = 0.0253074315878, time = 0.75
2016-04-17T14:19:39.120420 ### 928/231, train_loss = 0.0288466967069, time = 0.75
2016-04-17T14:19:39.870167 ### 929/231, train_loss = 0.0219752036608, time = 0.75
2016-04-17T14:19:40.624330 ### 930/231, train_loss = 0.0247444299551, time = 0.75
2016-04-17T14:19:41.266884 ###  Checkpoint saved 
2016-04-17T14:19:41.571041 ### 931/231, train_loss = 0.0239577916952, time = 0.95
2016-04-17T14:19:42.323225 ### 932/231, train_loss = 0.0263618285839, time = 0.75
2016-04-17T14:19:43.074992 ### 933/231, train_loss = 0.015175983539, time = 0.75
2016-04-17T14:19:43.845142 ### 934/231, train_loss = 0.0249333088215, time = 0.77
2016-04-17T14:19:44.5###########10 ### 935/231, train_loss = 0.028590466426, time = 0.75
2016-04-17T14:19:45.349946 ### 936/231, train_loss = 0.0352775793809, time = 0.75
2016-04-17T14:19:46.102170 ### 937/231, train_loss = 0.0131852470911, time = 0.75
2016-04-17T14:19:46.853896 ### 938/231, train_loss = 0.0244614967933, time = 0.75
2016-04-17T14:19:47.348668 ###  Checkpoint saved 
2016-04-17T14:19:47.795182 ### 939/231, train_loss = 0.0266727961027, time = 0.94
2016-04-17T14:19:48.544336 ### 940/231, train_loss = 0.0186299580794, time = 0.75
2016-04-17T14:19:49.314020 ### 941/231, train_loss = 0.021226818745, time = 0.77
2016-04-17T14:19:50.063438 ### 942/231, train_loss = 0.0245413376735, time = 0.75
2016-04-17T14:19:50.814974 ### 943/231, train_loss = 0.0244481618588, time = 0.75
2016-04-17T14:19:51.563450 ### 944/231, train_loss = 0.0129806848673, time = 0.75
2016-04-17T14:19:52.316186 ### 945/231, train_loss = 0.0190706253052, time = 0.75
2016-04-17T14:19:53.064610 ### 946/231, train_loss = 0.0330481932713, time = 0.75
2016-04-17T14:19:53.412203 ###  Checkpoint saved 
2016-04-17T14:19:54.012313 ### 947/231, train_loss = 0.0177344780702, time = 0.95
2016-04-17T14:19:54.761824 ### 948/231, train_loss = 0.0209532884451, time = 0.75
2016-04-17T14:19:55.523819 ### 949/231, train_loss = 0.0205035906572, time = 0.76
2016-04-17T14:19:56.275445 ### 950/231, train_loss = 0.0387860151438, time = 0.75
2016-04-17T14:19:57.027011 ### 951/231, train_loss = 0.0294231396455, time = 0.75
2016-04-17T14:19:57.777604 ### 952/231, train_loss = 0.0191181861437, time = 0.75
2016-04-17T14:19:58.579004 ### 953/231, train_loss = 0.0269517440062, time = 0.80
2016-04-17T14:19:59.257640 ###  Checkpoint saved 
2016-04-17T14:19:59.526035 ### 954/231, train_loss = 0.022776889801, time = 0.95
2016-04-17T14:20:00.277181 ### 955/231, train_loss = 0.0258668147601, time = 0.75
2016-04-17T14:20:01.047502 ### 956/231, train_loss = 0.0259322313162, time = 0.77
2016-04-17T14:20:01.795899 ### 957/231, train_loss = 0.0225792132891, time = 0.75
2016-04-17T14:20:02.548177 ### 958/231, train_loss = 0.0308694215921, time = 0.75
2016-04-17T14:20:03.296196 ### 959/231, train_loss = 0.0296763585164, time = 0.75
2016-04-17T14:20:04.048677 ### 960/231, train_loss = 0.019102193759, time = 0.75
2016-04-17T14:20:04.796789 ### 961/231, train_loss = 0.022155882762, time = 0.75
2016-04-17T14:20:05.326974 ###  Checkpoint saved 
2016-04-17T14:20:05.738264 ### 962/231, train_loss = 0.0178617422397, time = 0.94
2016-04-17T14:20:06.487744 ### 963/231, train_loss = 0.0194966334563, time = 0.75
2016-04-17T14:20:07.251274 ### 964/231, train_loss = 0.0314947568453, time = 0.76
2016-04-17T14:20:08.001526 ### 965/231, train_loss = 0.0180798090421, time = 0.75
2016-04-17T14:20:08.751314 ### 966/231, train_loss = 0.023365508593, time = 0.75
2016-04-17T14:20:09.500159 ### 967/231, train_loss = 0.0257986252124, time = 0.75
2016-04-17T14:20:10.252658 ### 968/231, train_loss = 0.0331165240361, time = 0.75
2016-04-17T14:20:11.004789 ### 969/231, train_loss = 0.0180987229714, time = 0.75
2016-04-17T14:20:11.389996 ###  Checkpoint saved 
2016-04-17T14:20:11.949528 ### 970/231, train_loss = 0.0196860496814, time = 0.94
2016-04-17T14:20:12.721045 ### 971/231, train_loss = 0.0243257485903, time = 0.77
2016-04-17T14:20:13.470610 ### 972/231, train_loss = 0.0183659315109, time = 0.75
2016-04-17T14:20:14.258330 ### ###########/231, train_loss = 0.0209851650091, time = 0.79
2016-04-17T14:20:15.007722 ### 974/231, train_loss = 0.0178622135749, time = 0.75
2016-04-17T14:20:15.761773 ### 975/231, train_loss = 0.0243461260429, time = 0.75
2016-04-17T14:20:16.513509 ### 976/231, train_loss = 0.0176137520717, time = 0.75
2016-04-17T14:20:17.228761 ###  Checkpoint saved 
2016-04-17T14:20:17.461321 ### 977/231, train_loss = 0.0236423309033, time = 0.95
2016-04-17T14:20:18.213480 ### 978/231, train_loss = 0.035220516645, time = 0.75
2016-04-17T14:20:18.977815 ### 979/231, train_loss = 0.0160477693264, time = 0.76
2016-04-17T14:20:19.730271 ### 980/231, train_loss = 0.0217022877473, time = 0.75
2016-04-17T14:20:20.482397 ### 981/231, train_loss = 0.0178100659297, time = 0.75
2016-04-17T14:20:21.232444 ### 982/231, train_loss = 0.0241354942322, time = 0.75
2016-04-17T14:20:21.984185 ### 983/231, train_loss = 0.0151205044526, time = 0.75
2016-04-17T14:20:22.736385 ### 984/231, train_loss = 0.0301387456747, time = 0.75
2016-04-17T14:20:23.305817 ###  Checkpoint saved 
2016-04-17T14:20:23.679068 ### 985/231, train_loss = 0.0181539535522, time = 0.94
2016-04-17T14:20:24.453077 ### 986/231, train_loss = 0.0226837084844, time = 0.77
2016-04-17T14:20:25.202290 ### 987/231, train_loss = 0.0188011096074, time = 0.75
2016-04-17T14:20:25.954991 ### 988/231, train_loss = 0.0244994145173, time = 0.75
2016-04-17T14:20:26.706859 ### 989/231, train_loss = 0.0258602234033, time = 0.75
2016-04-17T14:20:27.460578 ### 990/231, train_loss = 0.0235980510712, time = 0.75
2016-04-17T14:20:28.211081 ### 991/231, train_loss = 0.026652943171, time = 0.75
2016-04-17T14:20:29.020174 ### 992/231, train_loss = 0.0211058634978, time = 0.81
2016-04-17T14:20:29.442639 ###  Checkpoint saved 
2016-04-17T14:20:29.966491 ### 993/231, train_loss = 0.0220194156353, time = 0.95
2016-04-17T14:20:30.732503 ### 994/231, train_loss = 0.0177835959655, time = 0.77
2016-04-17T14:20:31.485747 ### 995/231, train_loss = 0.0231775540572, time = 0.75
2016-04-17T14:20:32.238343 ### 996/231, train_loss = 0.0324791578146, time = 0.75
2016-04-17T14:20:32.988194 ### 997/231, train_loss = 0.013951929716, time = 0.75
2016-04-17T14:20:33.741178 ### 998/231, train_loss = 0.0301240132405, time = 0.75
2016-04-17T14:20:34.492750 ### 999/231, train_loss = 0.0180304288864, time = 0.75
2016-04-17T14:20:35.243896 ### 1000/231, train_loss = 0.0314756063315, time = 0.75
2016-04-17T14:20:35.523574 ###  Checkpoint saved 
2016-04-17T14:20:36.199044 ### 1001/231, train_loss = 0.0129160184127, time = 0.96
2016-04-17T14:20:36.948187 ### 1002/231, train_loss = 0.0267198819381, time = 0.75
2016-04-17T14:20:37.702059 ### 1003/231, train_loss = 0.0372709090893, time = 0.75
2016-04-17T14:20:38.453754 ### 1004/231, train_loss = 0.0319061719454, time = 0.75
2016-04-17T14:20:39.208161 ### 1005/231, train_loss = 0.0145204791656, time = 0.75
2016-04-17T14:20:39.958679 ### 1006/231, train_loss = 0.0298481079248, time = 0.75
2016-04-17T14:20:40.712699 ### 1007/231, train_loss = 0.0283524806683, time = 0.75
2016-04-17T14:20:41.318668 ###  Checkpoint saved 
2016-04-17T14:20:41.653859 ### 1008/231, train_loss = 0.0143766861696, time = 0.94
2016-04-17T14:20:42.419474 ### 1009/231, train_loss = 0.02219347587, time = 0.77
2016-04-17T14:20:43.172256 ### 1010/231, train_loss = 0.0246262697073, time = 0.75
2016-04-17T14:20:43.976730 ### 1011/231, train_loss = 0.0235601021693, time = 0.80
2016-04-17T14:20:44.728013 ### 1012/231, train_loss = 0.0140595940443, time = 0.75
2016-04-17T14:20:45.502717 ### 1013/231, train_loss = 0.0250144555018, time = 0.77
2016-04-17T14:20:46.255307 ### 1014/231, train_loss = 0.0254450376217, time = 0.75
2016-04-17T14:20:47.006768 ### 1015/231, train_loss = 0.0148906771953, time = 0.75
2016-04-17T14:20:47.467517 ###  Checkpoint saved 
2016-04-17T14:20:47.972170 ### 1016/231, train_loss = 0.0265645999175, time = 0.97
2016-04-17T14:20:48.726452 ### 1017/231, train_loss = 0.0242082174008, time = 0.75
2016-04-17T14:20:49.482818 ### 1018/231, train_loss = 0.0253506275324, time = 0.76
2016-04-17T14:20:50.235890 ### 1019/231, train_loss = 0.0119584166087, time = 0.75
2016-04-17T14:20:50.992308 ### 1020/231, train_loss = 0.0233006807474, time = 0.76
2016-04-17T14:20:51.745213 ### 1021/231, train_loss = 0.0292667462276, time = 0.75
2016-04-17T14:20:52.500405 ### 1022/231, train_loss = 0.0205445693089, time = 0.76
2016-04-17T14:20:53.254134 ### 1023/231, train_loss = 0.0199699365176, time = 0.75
2016-04-17T14:20:53.569164 ###  Checkpoint saved 
2016-04-17T14:20:54.216563 ### 1024/231, train_loss = 0.0359834671021, time = 0.96
2016-04-17T14:20:54.970789 ### 1025/231, train_loss = 0.0251995636867, time = 0.75
2016-04-17T14:20:55.726311 ### 1026/231, train_loss = 0.0144174539126, time = 0.76
2016-04-17T14:20:56.478876 ### 1027/231, train_loss = 0.0269674136088, time = 0.75
2016-04-17T14:20:57.233018 ### 1028/231, train_loss = 0.0309503481938, time = 0.75
2016-04-17T14:20:57.986517 ### 1029/231, train_loss = 0.0272958205296, time = 0.75
2016-04-17T14:20:58.786892 ### 1030/231, train_loss = 0.0200554535939, time = 0.80
2016-04-17T14:20:59.434390 ###  Checkpoint saved 
2016-04-17T14:20:59.751514 ### 1031/231, train_loss = 0.0302714329499, time = 0.96
2016-04-17T14:21:00.506320 ### 1032/231, train_loss = 0.0397897903736, time = 0.75
2016-04-17T14:21:01.264318 ### 1033/231, train_loss = 0.0141216580684, time = 0.76
2016-04-17T14:21:02.018169 ### 1034/231, train_loss = 0.0278785430468, time = 0.75
2016-04-17T14:21:02.775172 ### 1035/231, train_loss = 0.0300971599726, time = 0.76
2016-04-17T14:21:03.529773 ### 1036/231, train_loss = 0.0247459888458, time = 0.75
2016-04-17T14:21:04.285020 ### 1037/231, train_loss = 0.0199762509419, time = 0.76
2016-04-17T14:21:05.039121 ### 1038/231, train_loss = 0.0217943173188, time = 0.75
2016-04-17T14:21:05.551223 ###  Checkpoint saved 
2016-04-17T14:21:06.002482 ### 1039/231, train_loss = 0.0459230899811, time = 0.96
2016-04-17T14:21:06.755602 ### 1040/231, train_loss = 0.0209228827403, time = 0.75
2016-04-17T14:21:07.511291 ### 1041/231, train_loss = 0.0287720661897, time = 0.76
2016-04-17T14:21:08.264255 ### 1042/231, train_loss = 0.0322173778827, time = 0.75
2016-04-17T14:21:09.020383 ### 1043/231, train_loss = 0.024671969047, time = 0.76
2016-04-17T14:21:09.775036 ### 1044/231, train_loss = 0.0173341677739, time = 0.75
2016-04-17T14:21:10.529507 ### 1045/231, train_loss = 0.0249580236582, time = 0.75
2016-04-17T14:21:11.302844 ### 1046/231, train_loss = 0.0276818092053, time = 0.77
2016-04-17T14:21:11.653109 ###  Checkpoint saved 
2016-04-17T14:21:12.250539 ### 1047/231, train_loss = 0.0194790803469, time = 0.95
2016-04-17T14:21:13.007229 ### 1048/231, train_loss = 0.0546425122481, time = 0.76
2016-04-17T14:21:13.800914 ### 1049/231, train_loss = 0.0184646276327, time = 0.79
2016-04-17T14:21:14.557130 ### 1050/231, train_loss = 0.0296021791605, time = 0.76
2016-04-17T14:21:15.311437 ### 1051/231, train_loss = 0.0232319813508, time = 0.75
2016-04-17T14:21:16.066697 ### 1052/231, train_loss = 0.0246262201896, time = 0.76
2016-04-17T14:21:16.820573 ### 1053/231, train_loss = 0.0277143184955, time = 0.75
2016-04-17T14:21:17.514956 ###  Checkpoint saved 
2016-04-17T14:21:17.783598 ### 1054/231, train_loss = 0.0156048939778, time = 0.96
2016-04-17T14:21:18.536557 ### 1055/231, train_loss = 0.0206708137806, time = 0.75
2016-04-17T14:21:19.292029 ### 1056/231, train_loss = 0.0298177792476, time = 0.76
2016-04-17T14:21:20.046458 ### 1057/231, train_loss = 0.0234327059526, time = 0.75
2016-04-17T14:21:20.801661 ### 1058/231, train_loss = 0.0175481429467, time = 0.76
2016-04-17T14:21:21.556133 ### 1059/231, train_loss = 0.0352102573101, time = 0.75
2016-04-17T14:21:22.310173 ### 1060/231, train_loss = 0.0341267915872, time = 0.75
2016-04-17T14:21:23.088020 ### 1061/231, train_loss = 0.0238201471475, time = 0.78
2016-04-17T14:21:23.621586 ###  Checkpoint saved 
2016-04-17T14:21:24.034518 ### 1062/231, train_loss = 0.0263742080102, time = 0.95
2016-04-17T14:21:24.791258 ### 1063/231, train_loss = 0.0246329307556, time = 0.76
2016-04-17T14:21:25.543711 ### 1064/231, train_loss = 0.0378659505111, time = 0.75
2016-04-17T14:21:26.301119 ### 1065/231, train_loss = 0.0198183133052, time = 0.76
2016-04-17T14:21:27.054966 ### 1066/231, train_loss = 0.027707184278, time = 0.75
2016-04-17T14:21:27.809345 ### 1067/231, train_loss = 0.0236526984435, time = 0.75
2016-04-17T14:21:28.622072 ### 1068/231, train_loss = 0.02744978758, time = 0.81
2016-04-17T14:21:29.390185 ### 1069/231, train_loss = 0.0153870582581, time = 0.77
2016-04-17T14:21:29.779781 ###  Checkpoint saved 
2016-04-17T14:21:30.337349 ### 1070/231, train_loss = 0.0219720785434, time = 0.95
2016-04-17T14:21:31.093996 ### 1071/231, train_loss = 0.0237917551628, time = 0.76
2016-04-17T14:21:31.848185 ### 1072/231, train_loss = 0.0182185246394, time = 0.75
2016-04-17T14:21:32.604991 ### 1073/231, train_loss = 0.0341925584353, time = 0.76
2016-04-17T14:21:33.360428 ### 1074/231, train_loss = 0.0223141303429, time = 0.76
2016-04-17T14:21:34.114772 ### 1075/231, train_loss = 0.0208414371197, time = 0.75
2016-04-17T14:21:34.889696 ### 1076/231, train_loss = 0.0168350458145, time = 0.77
2016-04-17T14:21:35.605929 ###  Checkpoint saved 
2016-04-17T14:21:35.836702 ### 1077/231, train_loss = 0.0242339079197, time = 0.95
2016-04-17T14:21:36.594330 ### 1078/231, train_loss = 0.0266352965282, time = 0.76
2016-04-17T14:21:37.346014 ### 1079/231, train_loss = 0.0169026246438, time = 0.75
2016-04-17T14:21:38.102326 ### 1080/231, train_loss = 0.0328765649062, time = 0.76
2016-04-17T14:21:38.857116 ### 1081/231, train_loss = 0.0188837051392, time = 0.75
2016-04-17T14:21:39.612937 ### 1082/231, train_loss = 0.0240731697816, time = 0.76
2016-04-17T14:21:40.367741 ### 1083/231, train_loss = 0.0168756264907, time = 0.75
2016-04-17T14:21:41.134309 ### 1084/231, train_loss = 0.0197018843431, time = 0.77
2016-04-17T14:21:41.706513 ###  Checkpoint saved 
2016-04-17T14:21:42.083850 ### 1085/231, train_loss = 0.0311946025262, time = 0.95
2016-04-17T14:21:42.838322 ### 1086/231, train_loss = 0.0220751303893, time = 0.75
2016-04-17T14:21:43.593208 ### 1087/231, train_loss = 0.028659589474, time = 0.75
2016-04-17T14:21:44.396890 ### 1088/231, train_loss = 0.0342329612145, time = 0.80
2016-04-17T14:21:45.151032 ### 1089/231, train_loss = 0.0288092411481, time = 0.75
2016-04-17T14:21:45.903916 ### 1090/231, train_loss = 0.0200224436246, time = 0.75
2016-04-17T14:21:46.678284 ### 1091/231, train_loss = 0.0261523228425, time = 0.77
2016-04-17T14:21:47.431187 ### 1092/231, train_loss = 0.0277652648779, time = 0.75
2016-04-17T14:21:47.856561 ###  Checkpoint saved 
2016-04-17T14:21:48.377965 ### 1093/231, train_loss = 0.0347055288462, time = 0.95
2016-04-17T14:21:49.131412 ### 1094/231, train_loss = 0.0167957966144, time = 0.75
2016-04-17T14:21:49.888066 ### 1095/231, train_loss = 0.0247193776644, time = 0.76
2016-04-17T14:21:50.644092 ### 1096/231, train_loss = 0.0240104840352, time = 0.76
2016-04-17T14:21:51.398905 ### 1097/231, train_loss = 0.0166285661551, time = 0.75
2016-04-17T14:21:52.152763 ### 1098/231, train_loss = 0.0348761815291, time = 0.75
2016-04-17T14:21:52.919829 ### 1099/231, train_loss = 0.018398305086, time = 0.77
2016-04-17T14:21:53.674473 ### 1100/231, train_loss = 0.0451956859002, time = 0.75
2016-04-17T14:21:53.953367 ###  Checkpoint saved 
2016-04-17T14:21:54.616464 ### 1101/231, train_loss = 0.0245977621812, time = 0.94
2016-04-17T14:21:55.370386 ### 1102/231, train_loss = 0.0238857764464, time = 0.75
2016-04-17T14:21:56.126940 ### 1103/231, train_loss = 0.0321482768426, time = 0.76
2016-04-17T14:21:56.880966 ### 1104/231, train_loss = 0.023285983159, time = 0.75
2016-04-17T14:21:57.634159 ### 1105/231, train_loss = 0.0208601309703, time = 0.75
2016-04-17T14:21:58.467332 ### 1106/231, train_loss = 0.0261820664773, time = 0.83
2016-04-17T14:21:59.219375 ### 1107/231, train_loss = 0.0250365514022, time = 0.75
2016-04-17T14:21:59.829599 ###  Checkpoint saved 
2016-04-17T14:22:00.169701 ### 1108/231, train_loss = 0.0133087222393, time = 0.95
2016-04-17T14:22:00.921454 ### 1109/231, train_loss = 0.0181482058305, time = 0.75
2016-04-17T14:22:01.678135 ### 1110/231, train_loss = 0.0360550807073, time = 0.76
2016-04-17T14:22:02.431000 ### 1111/231, train_loss = 0.0147760776373, time = 0.75
2016-04-17T14:22:03.184823 ### 1112/231, train_loss = 0.0162321292437, time = 0.75
2016-04-17T14:22:03.937312 ### 1113/231, train_loss = 0.0267844255154, time = 0.75
2016-04-17T14:22:04.703666 ### 1114/231, train_loss = 0.0306988422687, time = 0.77
2016-04-17T14:22:05.459401 ### 1115/231, train_loss = 0.0124237445685, time = 0.76
2016-04-17T14:22:05.919157 ###  Checkpoint saved 
2016-04-17T14:22:06.409512 ### 1116/231, train_loss = 0.0209270715714, time = 0.95
2016-04-17T14:22:07.162394 ### 1117/231, train_loss = 0.0246001096872, time = 0.75
2016-04-17T14:22:07.916684 ### 1118/231, train_loss = 0.024209519533, time = 0.75
2016-04-17T14:22:08.670566 ### 1119/231, train_loss = 0.0234111987627, time = 0.75
2016-04-17T14:22:09.423777 ### 1120/231, train_loss = 0.0274015133197, time = 0.75
2016-04-17T14:22:10.199034 ### 1121/231, train_loss = 0.0219070783028, time = 0.78
2016-04-17T14:22:10.950584 ### 1122/231, train_loss = 0.0292361772977, time = 0.75
2016-04-17T14:22:11.706525 ### 1123/231, train_loss = 0.0223851809135, time = 0.76
2016-04-17T14:22:12.020357 ###  Checkpoint saved 
2016-04-17T14:22:12.654175 ### 1124/231, train_loss = 0.0329989469968, time = 0.95
2016-04-17T14:22:13.410219 ### 1125/231, train_loss = 0.0226066295917, time = 0.76
2016-04-17T14:22:14.196806 ### 1126/231, train_loss = 0.0424369995411, time = 0.79
2016-04-17T14:22:14.951529 ### 1127/231, train_loss = 0.0241406789193, time = 0.75
2016-04-17T14:22:15.705215 ### 1128/231, train_loss = 0.0280600987948, time = 0.75
2016-04-17T14:22:16.472601 ### 1129/231, train_loss = 0.0180930137634, time = 0.77
2016-04-17T14:22:17.227854 ### 1130/231, train_loss = 0.0230492830276, time = 0.76
2016-04-17T14:22:17.870768 ###  Checkpoint saved 
2016-04-17T14:22:18.176993 ### 1131/231, train_loss = 0.0278830601619, time = 0.95
2016-04-17T14:22:18.930218 ### 1132/231, train_loss = 0.0350108843583, time = 0.75
2016-04-17T14:22:19.686001 ### 1133/231, train_loss = 0.0228946484052, time = 0.76
2016-04-17T14:22:20.442654 ### 1134/231, train_loss = 0.0192807582709, time = 0.76
2016-04-17T14:22:21.196332 ### 1135/231, train_loss = 0.0285327544579, time = 0.75
2016-04-17T14:22:21.969953 ### 1136/231, train_loss = 0.0214898329515, time = 0.77
2016-04-17T14:22:22.722324 ### 1137/231, train_loss = 0.0245084212377, time = 0.75
2016-04-17T14:22:23.482160 ### 1138/231, train_loss = 0.0333014818338, time = 0.76
2016-04-17T14:22:23.979863 ###  Checkpoint saved 
2016-04-17T14:22:24.431396 ### 1139/231, train_loss = 0.024739087545, time = 0.95
2016-04-17T14:22:25.189483 ### 1140/231, train_loss = 0.0206255454283, time = 0.76
2016-04-17T14:22:25.943492 ### 1141/231, train_loss = 0.0180796073033, time = 0.75
2016-04-17T14:22:26.699794 ### 1142/231, train_loss = 0.0339358073014, time = 0.76
2016-04-17T14:22:27.454519 ### 1143/231, train_loss = 0.0157346120247, time = 0.75
2016-04-17T14:22:28.221612 ### 1144/231, train_loss = 0.0209589224595, time = 0.77
2016-04-17T14:22:29.020003 ### 1145/231, train_loss = 0.0239621749291, time = 0.80
2016-04-17T14:22:29.776208 ### 1146/231, train_loss = 0.0217477743442, time = 0.76
2016-04-17T14:22:30.128213 ###  Checkpoint saved 
2016-04-17T14:22:30.727199 ### 1147/231, train_loss = 0.022666481825, time = 0.95
2016-04-17T14:22:31.482141 ### 1148/231, train_loss = 0.022624879617, time = 0.75
2016-04-17T14:22:32.236995 ### 1149/231, train_loss = 0.0308995760404, time = 0.75
2016-04-17T14:22:32.989929 ### 1150/231, train_loss = 0.0268831803248, time = 0.75
2016-04-17T14:22:33.763050 ### 1151/231, train_loss = 0.0170776917384, time = 0.77
2016-04-17T14:22:34.516256 ### 1152/231, train_loss = 0.0232991346946, time = 0.75
2016-04-17T14:22:35.273337 ### 1153/231, train_loss = 0.0356739961184, time = 0.76
2016-04-17T14:22:35.954300 ###  Checkpoint saved 
2016-04-17T14:22:36.217443 ### 1154/231, train_loss = 0.0146501064301, time = 0.94
2016-04-17T14:22:36.974395 ### 1155/231, train_loss = 0.0280315655928, time = 0.76
2016-04-17T14:22:37.730011 ### 1156/231, train_loss = 0.0280773988137, time = 0.76
2016-04-17T14:22:38.485056 ### 1157/231, train_loss = 0.0201908643429, time = 0.76
2016-04-17T14:22:39.239170 ### 1158/231, train_loss = 0.0212101642902, time = 0.75
2016-04-17T14:22:40.005755 ### 1159/231, train_loss = 0.0304010189497, time = 0.77
2016-04-17T14:22:40.761474 ### 1160/231, train_loss = 0.0438454004434, time = 0.76
2016-04-17T14:22:41.517705 ### 1161/231, train_loss = 0.0195721094425, time = 0.76
2016-04-17T14:22:42.052788 ###  Checkpoint saved 
2016-04-17T14:22:42.462680 ### 1162/231, train_loss = 0.0287355221235, time = 0.94
2016-04-17T14:22:43.218567 ### 1163/231, train_loss = 0.0277677004154, time = 0.76
2016-04-17T14:22:44.010508 ### 1164/231, train_loss = 0.0299238039897, time = 0.79
2016-04-17T14:22:44.768732 ### 1165/231, train_loss = 0.0289182754663, time = 0.76
2016-04-17T14:22:45.547438 ### 1166/231, train_loss = 0.0286426214071, time = 0.78
2016-04-17T14:22:46.305176 ### 1167/231, train_loss = 0.0279188926403, time = 0.76
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2016-04-17T14:22:47.839931 ### 1169/231, train_loss = 0.0282523448651, time = 0.76
2016-04-17T14:22:48.233134 ###  Checkpoint saved 
2016-04-17T14:22:48.791487 ### 1170/231, train_loss = 0.0228901679699, time = 0.95
2016-04-17T14:22:49.546134 ### 1171/231, train_loss = 0.026754795588, time = 0.75
2016-04-17T14:22:50.304370 ### 1172/231, train_loss = 0.0266308564406, time = 0.76
2016-04-17T14:22:51.059194 ### 1173/231, train_loss = 0.0256175132898, time = 0.75
2016-04-17T14:22:51.826081 ### 1174/231, train_loss = 0.0381932111887, time = 0.77
2016-04-17T14:22:52.582390 ### 1175/231, train_loss = 0.0172190299401, time = 0.76
2016-04-17T14:22:53.338342 ### 1176/231, train_loss = 0.0170051354628, time = 0.76
2016-04-17T14:22:54.056066 ###  Checkpoint saved 
2016-04-17T14:22:54.285780 ### 1177/231, train_loss = 0.0234541471188, time = 0.95
2016-04-17T14:22:55.041490 ### 1178/231, train_loss = 0.0385796180138, time = 0.76
2016-04-17T14:22:55.797188 ### 1179/231, train_loss = 0.0216837717937, time = 0.76
2016-04-17T14:22:56.552875 ### 1180/231, train_loss = 0.0235958374464, time = 0.76
2016-04-17T14:22:57.328287 ### 1181/231, train_loss = 0.0210942029953, time = 0.78
2016-04-17T14:22:58.082294 ### 1182/231, train_loss = 0.0271027583342, time = 0.75
2016-04-17T14:22:58.864991 ### 1183/231, train_loss = 0.0212526688209, time = 0.78
2016-04-17T14:22:59.619564 ### 1184/231, train_loss = 0.0274189123741, time = 0.75
2016-04-17T14:23:00.192675 ###  Checkpoint saved 
2016-04-17T14:23:00.568071 ### 1185/231, train_loss = 0.0278168476545, time = 0.95
2016-04-17T14:23:01.323144 ### 1186/231, train_loss = 0.0139562955269, time = 0.76
2016-04-17T14:23:02.079939 ### 1187/231, train_loss = 0.0225628669445, time = 0.76
2016-04-17T14:23:02.834458 ### 1188/231, train_loss = 0.019206230457, time = 0.75
2016-04-17T14:23:03.602139 ### 1189/231, train_loss = 0.0352825604952, time = 0.77
2016-04-17T14:23:04.358046 ### 1190/231, train_loss = 0.0165197867614, time = 0.76
2016-04-17T14:23:05.113518 ### 1191/231, train_loss = 0.0195920559076, time = 0.76
2016-04-17T14:23:05.868523 ### 1192/231, train_loss = 0.0310902998998, time = 0.76
2016-04-17T14:23:06.296458 ###  Checkpoint saved 
2016-04-17T14:23:06.815723 ### 1193/231, train_loss = 0.0142787227264, time = 0.95
2016-04-17T14:23:07.571178 ### 1194/231, train_loss = 0.0218721921627, time = 0.76
2016-04-17T14:23:08.325890 ### 1195/231, train_loss = 0.0171804189682, time = 0.75
2016-04-17T14:23:09.101047 ### 1196/231, train_loss = 0.0385396150442, time = 0.78
2016-04-17T14:23:09.855455 ### 1197/231, train_loss = 0.0135183260991, time = 0.75
2016-04-17T14:23:10.614142 ### 1198/231, train_loss = 0.0245774287444, time = 0.76
2016-04-17T14:23:11.368094 ### 1199/231, train_loss = 0.0272104520064, time = 0.75
2016-04-17T14:23:12.126207 ### 1200/231, train_loss = 0.0280866732964, time = 0.76
2016-04-17T14:23:12.405780 ###  Checkpoint saved 
2016-04-17T14:23:13.066358 ### 1201/231, train_loss = 0.0299401650062, time = 0.94
2016-04-17T14:23:13.865535 ### 1202/231, train_loss = 0.0318888627566, time = 0.80
2016-04-17T14:23:14.621864 ### 1203/231, train_loss = 0.0226049258159, time = 0.76
2016-04-17T14:23:15.390773 ### 1204/231, train_loss = 0.0169098377228, time = 0.77
2016-04-17T14:23:16.147787 ### 1205/231, train_loss = 0.0256753976528, time = 0.76
2016-04-17T14:23:16.903782 ### 1206/231, train_loss = 0.0201421462573, time = 0.76
2016-04-17T14:23:17.657905 ### 1207/231, train_loss = 0.0379051538614, time = 0.75
2016-04-17T14:23:18.265110 ###  Checkpoint saved 
2016-04-17T14:23:18.608738 ### 1208/231, train_loss = 0.0196786495355, time = 0.95
2016-04-17T14:23:19.365026 ### 1209/231, train_loss = 0.0216243358759, time = 0.76
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2016-04-17T14:23:21.647550 ### 1212/231, train_loss = 0.0365875060742, time = 0.75
2016-04-17T14:23:22.404904 ### 1213/231, train_loss = 0.0241999314382, time = 0.76
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2016-04-17T14:23:23.918354 ### 1215/231, train_loss = 0.0278789722002, time = 0.76
2016-04-17T14:23:24.380336 ###  Checkpoint saved 
2016-04-17T14:23:24.868867 ### 1216/231, train_loss = 0.0281496506471, time = 0.95
2016-04-17T14:23:25.625372 ### 1217/231, train_loss = 0.02815486101, time = 0.76
2016-04-17T14:23:26.382431 ### 1218/231, train_loss = 0.020862531662, time = 0.76
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2016-04-17T14:23:27.905715 ### 1220/231, train_loss = 0.0267028368436, time = 0.76
2016-04-17T14:23:28.713271 ### 1221/231, train_loss = 0.0221979673092, time = 0.81
2016-04-17T14:23:29.467885 ### 1222/231, train_loss = 0.0311739187974, time = 0.75
2016-04-17T14:23:30.226133 ### 1223/231, train_loss = 0.0206504895137, time = 0.76
2016-04-17T14:23:30.541000 ###  Checkpoint saved 
2016-04-17T14:23:31.176388 ### 1224/231, train_loss = 0.0275385178052, time = 0.95
2016-04-17T14:23:31.931313 ### 1225/231, train_loss = 0.0187347980646, time = 0.75
2016-04-17T14:23:32.707851 ### 1226/231, train_loss = 0.0313050453479, time = 0.78
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2016-04-17T14:23:34.219943 ### 1228/231, train_loss = 0.0239681610694, time = 0.76
2016-04-17T14:23:34.974928 ### 1229/231, train_loss = 0.0222333467924, time = 0.75
2016-04-17T14:23:35.732261 ### 1230/231, train_loss = 0.0321058346675, time = 0.76
2016-04-17T14:23:36.377448 ###  Checkpoint saved 
2016-04-17T14:23:36.678699 ### 1231/231, train_loss = 0.0223448496598, time = 0.95
2016-04-17T14:23:37.435565 ### 1232/231, train_loss = 0.0279090092732, time = 0.76
2016-04-17T14:23:38.191099 ### 1233/231, train_loss = 0.01841###########292, time = 0.76
2016-04-17T14:23:38.959610 ### 1234/231, train_loss = 0.038196684764, time = 0.77
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2016-04-17T14:23:40.472581 ### 1236/231, train_loss = 0.0143368079112, time = 0.76
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2016-04-17T14:23:41.983406 ### 1238/231, train_loss = 0.0243526990597, time = 0.76
2016-04-17T14:23:42.482609 ###  Checkpoint saved 
2016-04-17T14:23:42.934670 ### 1239/231, train_loss = 0.0208296830838, time = 0.95
2016-04-17T14:23:43.751354 ### 1240/231, train_loss = 0.0178541696989, time = 0.82
2016-04-17T14:23:44.528274 ### 1241/231, train_loss = 0.022736123892, time = 0.78
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2016-04-17T14:23:46.792230 ### 1244/231, train_loss = 0.0280256161323, time = 0.75
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2016-04-17T14:23:48.303954 ### 1246/231, train_loss = 0.0239021484668, time = 0.75
2016-04-17T14:23:48.656710 ###  Checkpoint saved 
2016-04-17T14:23:49.252134 ### 1247/231, train_loss = 0.0230696366383, time = 0.95
2016-04-17T14:23:50.008174 ### 1248/231, train_loss = 0.0226208815208, time = 0.76
2016-04-17T14:23:50.776709 ### 1249/231, train_loss = 0.0267756131979, time = 0.77
2016-04-17T14:23:51.534328 ### 1250/231, train_loss = 0.0296895577357, time = 0.76
2016-04-17T14:23:52.290961 ### 1251/231, train_loss = 0.0285052061081, time = 0.76
2016-04-17T14:23:53.045373 ### 1252/231, train_loss = 0.0228394398322, time = 0.75
2016-04-17T14:23:53.801510 ### 1253/231, train_loss = 0.0361978457524, time = 0.76
2016-04-17T14:23:54.485486 ###  Checkpoint saved 
2016-04-17T14:23:54.749754 ### 1254/231, train_loss = 0.0283650013117, time = 0.95
2016-04-17T14:23:55.505459 ### 1255/231, train_loss = 0.0259597943379, time = 0.76
2016-04-17T14:23:56.280648 ### 1256/231, train_loss = 0.0407724343813, time = 0.78
2016-04-17T14:23:57.034402 ### 1257/231, train_loss = 0.0160215414487, time = 0.75
2016-04-17T14:23:57.791365 ### 1258/231, train_loss = 0.0210601549882, time = 0.76
2016-04-17T14:23:58.605247 ### 1259/231, train_loss = 0.0292010875849, time = 0.81
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2016-04-17T14:24:00.119223 ### 1261/231, train_loss = 0.0210720575773, time = 0.76
2016-04-17T14:24:00.653625 ###  Checkpoint saved 
2016-04-17T14:24:01.067175 ### 1262/231, train_loss = 0.0198236593833, time = 0.95
2016-04-17T14:24:01.820968 ### 1263/231, train_loss = 0.0337925287393, time = 0.75
2016-04-17T14:24:02.587880 ### 1264/231, train_loss = 0.0274656222417, time = 0.77
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2016-04-17T14:24:06.364750 ### 1269/231, train_loss = 0.0213901373056, time = 0.76
2016-04-17T14:24:06.752461 ###  Checkpoint saved 
2016-04-17T14:24:07.309063 ### 1270/231, train_loss = 0.0300429087419, time = 0.94
2016-04-17T14:24:08.083953 ### 1271/231, train_loss = 0.0288959869972, time = 0.77
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2016-04-17T14:24:11.861367 ### 1276/231, train_loss = 0.0274842794125, time = 0.75
2016-04-17T14:24:12.581611 ###  Checkpoint saved 
2016-04-17T14:24:12.811730 ### 1277/231, train_loss = 0.0216733987515, time = 0.95
2016-04-17T14:24:13.567198 ### 1278/231, train_loss = 0.0338416246267, time = 0.76
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2016-04-17T14:24:18.170662 ### 1284/231, train_loss = 0.0246492660963, time = 0.76
2016-04-17T14:24:18.741459 ###  Checkpoint saved 
2016-04-17T14:24:19.119101 ### 1285/231, train_loss = 0.0422024653508, time = 0.95
2016-04-17T14:24:19.893382 ### 1286/231, train_loss = 0.0261894317774, time = 0.77
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2016-04-17T14:24:24.433020 ### 1292/231, train_loss = 0.0284308250134, time = 0.76
2016-04-17T14:24:24.857845 ###  Checkpoint saved 
2016-04-17T14:24:25.384046 ### 1293/231, train_loss = 0.0234078700726, time = 0.95
2016-04-17T14:24:26.153271 ### 1294/231, train_loss = 0.0309367143191, time = 0.77
2016-04-17T14:24:26.910667 ### 1295/231, train_loss = 0.0259000814878, time = 0.76
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2016-04-17T14:24:30.767457 ### 1300/231, train_loss = 0.0159777457897, time = 0.75
2016-04-17T14:24:31.048242 ###  Checkpoint saved 
2016-04-17T14:24:31.728398 ### 1301/231, train_loss = 0.0239439615837, time = 0.96
2016-04-17T14:24:32.481642 ### 1302/231, train_loss = 0.025938###########06, time = 0.75
2016-04-17T14:24:33.238558 ### 1303/231, train_loss = 0.0254205043499, time = 0.76
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2016-04-17T14:24:36.262698 ### 1307/231, train_loss = 0.0150664439568, time = 0.76
2016-04-17T14:24:36.872110 ###  Checkpoint saved 
2016-04-17T14:24:37.208494 ### 1308/231, train_loss = 0.0340387674478, time = 0.95
2016-04-17T14:24:37.976106 ### 1309/231, train_loss = 0.020980662566, time = 0.77
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2016-04-17T14:24:40.999120 ### 1313/231, train_loss = 0.0300072853382, time = 0.76
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2016-04-17T14:24:42.510918 ### 1315/231, train_loss = 0.0324717741746, time = 0.76
2016-04-17T14:24:42.974561 ###  Checkpoint saved 
2016-04-17T14:24:43.479451 ### 1316/231, train_loss = 0.0283693808776, time = 0.97
2016-04-17T14:24:44.292162 ### 1317/231, train_loss = 0.027195585691, time = 0.81
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2016-04-17T14:24:47.339504 ### 1321/231, train_loss = 0.0291351355039, time = 0.78
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2016-04-17T14:24:48.850126 ### 1323/231, train_loss = 0.0249363092276, time = 0.75
2016-04-17T14:24:49.165986 ###  Checkpoint saved 
2016-04-17T14:24:49.808651 ### 1324/231, train_loss = 0.0290370996182, time = 0.96
2016-04-17T14:24:50.566590 ### 1325/231, train_loss = 0.0192363427236, time = 0.76
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2016-04-17T14:24:54.345586 ### 1330/231, train_loss = 0.0244368663201, time = 0.75
2016-04-17T14:24:54.994101 ###  Checkpoint saved 
2016-04-17T14:24:55.314016 ### 1331/231, train_loss = 0.0387195807237, time = 0.97
2016-04-17T14:24:56.068286 ### 1332/231, train_loss = 0.0262879041525, time = 0.75
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2016-04-17T14:24:58.###########18 ### 1335/231, train_loss = 0.0340611531184, time = 0.76
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2016-04-17T14:25:00.661675 ### 1338/231, train_loss = 0.0363069057465, time = 0.76
2016-04-17T14:25:01.174991 ###  Checkpoint saved 
2016-04-17T14:25:01.624326 ### 1339/231, train_loss = 0.0279638748903, time = 0.96
2016-04-17T14:25:02.377409 ### 1340/231, train_loss = 0.0201286756075, time = 0.75
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2016-04-17T14:25:06.929770 ### 1346/231, train_loss = 0.0355730937077, time = 0.77
2016-04-17T14:25:07.281693 ###  Checkpoint saved 
2016-04-17T14:25:07.878805 ### 1347/231, train_loss = 0.0183772123777, time = 0.95
2016-04-17T14:25:08.637396 ### 1348/231, train_loss = 0.0365713963142, time = 0.76
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2016-04-17T14:25:12.420953 ### 1353/231, train_loss = 0.0324745068183, time = 0.76
2016-04-17T14:25:13.118121 ###  Checkpoint saved 
2016-04-17T14:25:13.388698 ### 1354/231, train_loss = 0.0251427081915, time = 0.97
2016-04-17T14:25:14.169449 ### 1355/231, train_loss = 0.0249831328025, time = 0.78
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2016-04-17T14:25:18.725774 ### 1361/231, train_loss = 0.0179230359884, time = 0.78
2016-04-17T14:25:19.261149 ###  Checkpoint saved 
2016-04-17T14:25:19.675050 ### 1362/231, train_loss = 0.0190897538112, time = 0.95
2016-04-17T14:25:20.433516 ### 1363/231, train_loss = 0.0294882334196, time = 0.76
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2016-04-17T14:25:23.460036 ### 1367/231, train_loss = 0.0242562018908, time = 0.76
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2016-04-17T14:25:24.983954 ### 1369/231, train_loss = 0.0301228138117, time = 0.77
2016-04-17T14:25:25.374914 ###  Checkpoint saved 
2016-04-17T14:25:25.930925 ### 1370/231, train_loss = 0.0213666017239, time = 0.95
2016-04-17T14:25:26.689100 ### 1371/231, train_loss = 0.0264251782344, time = 0.76
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2016-04-17T14:25:30.549341 ### 1376/231, train_loss = 0.0387481432695, time = 0.78
2016-04-17T14:25:31.267667 ###  Checkpoint saved 
2016-04-17T14:25:31.499951 ### 1377/231, train_loss = 0.0305467495551, time = 0.95
2016-04-17T14:25:32.257246 ### 1378/231, train_loss = 0.0236380907205, time = 0.76
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2016-04-17T14:25:36.805635 ### 1384/231, train_loss = 0.038090804907, time = 0.77
2016-04-17T14:25:37.379908 ###  Checkpoint saved 
2016-04-17T14:25:37.757136 ### 1385/231, train_loss = 0.0274111087506, time = 0.95
2016-04-17T14:25:38.513598 ### 1386/231, train_loss = 0.018326654801, time = 0.76
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2016-04-17T14:25:43.066269 ### 1392/231, train_loss = 0.0332559255453, time = 0.75
2016-04-17T14:25:43.495448 ###  Checkpoint saved 
2016-04-17T14:25:44.023731 ### 1393/231, train_loss = 0.0152052439176, time = 0.96
2016-04-17T14:25:44.778172 ### 1394/231, train_loss = 0.0250561750852, time = 0.75
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2016-04-17T14:25:47.807416 ### 1398/231, train_loss = 0.03258###########26836, time = 0.76
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2016-04-17T14:25:49.333640 ### 1400/231, train_loss = 0.0178522091645, time = 0.76
2016-04-17T14:25:49.713312 ###  Checkpoint saved 
2016-04-17T14:25:50.427984 ### 1401/231, train_loss = 0.0285459059935, time = 1.09
2016-04-17T14:25:51.180705 ### 1402/231, train_loss = 0.0213636966852, time = 0.75
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2016-04-17T14:25:54.970338 ### 1407/231, train_loss = 0.0136536644055, time = 0.75
2016-04-17T14:25:55.579692 ###  Checkpoint saved 
2016-04-17T14:25:55.914106 ### 1408/231, train_loss = 0.061094045639, time = 0.94
2016-04-17T14:25:56.668324 ### 1409/231, train_loss = 0.0178715834251, time = 0.75
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2016-04-17T14:26:01.255360 ### 1415/231, train_loss = 0.02669874338, time = 0.76
2016-04-17T14:26:01.716168 ###  Checkpoint saved 
2016-04-17T14:26:02.203196 ### 1416/231, train_loss = 0.0269100262569, time = 0.95
2016-04-17T14:26:02.958172 ### 1417/231, train_loss = 0.0255808445124, time = 0.75
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2016-04-17T14:26:05.22###########2 ### 1420/231, train_loss = 0.0308731152461, time = 0.76
2016-04-17T14:26:06.007720 ### 1421/231, train_loss = 0.0221250790816, time = 0.78
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2016-04-17T14:26:07.523084 ### 1423/231, train_loss = 0.0298030944971, time = 0.76
2016-04-17T14:26:07.839251 ###  Checkpoint saved 
2016-04-17T14:26:08.470043 ### 1424/231, train_loss = 0.0235183624121, time = 0.95
2016-04-17T14:26:09.229826 ### 1425/231, train_loss = 0.021804527136, time = 0.76
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2016-04-17T14:26:13.029124 ### 1430/231, train_loss = 0.0203684183267, time = 0.76
2016-04-17T14:26:13.726837 ###  Checkpoint saved 
2016-04-17T14:26:14.035205 ### 1431/231, train_loss = 0.0286194067735, time = 1.01
2016-04-17T14:26:14.791886 ### 1432/231, train_loss = 0.0226253619561, time = 0.76
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2016-04-17T14:26:19.353075 ### 1438/231, train_loss = 0.0346534362206, time = 0.76
2016-04-17T14:26:19.851101 ###  Checkpoint saved 
2016-04-17T14:26:20.302455 ### 1439/231, train_loss = 0.0294634580612, time = 0.95
2016-04-17T14:26:21.062236 ### 1440/231, train_loss = 0.0293840426665, time = 0.76
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2016-04-17T14:26:25.618544 ### 1446/231, train_loss = 0.020481304022, time = 0.76
2016-04-17T14:26:25.971367 ###  Checkpoint saved 
2016-04-17T14:26:26.567557 ### 1447/231, train_loss = 0.0278116226196, time = 0.95
2016-04-17T14:26:27.323909 ### 1448/231, train_loss = 0.0237250804901, time = 0.76
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2016-04-17T14:26:31.173036 ### 1453/231, train_loss = 0.0298660810177, time = 0.76
2016-04-17T14:26:31.855225 ###  Checkpoint saved 
2016-04-17T14:26:32.122058 ### 1454/231, train_loss = 0.0236094401433, time = 0.95
2016-04-17T14:26:32.881117 ### 1455/231, train_loss = 0.0275216689477, time = 0.76
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2016-04-17T14:26:37.440002 ### 1461/231, train_loss = 0.0218450271166, time = 0.76
2016-04-17T14:26:37.977519 ###  Checkpoint saved 
2016-04-17T14:26:38.386641 ### 1462/231, train_loss = 0.0255883308557, time = 0.95
2016-04-17T14:26:39.144439 ### 1463/231, train_loss = 0.0294424130366, time = 0.76
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2016-04-17T14:26:43.752444 ### 1469/231, train_loss = 0.0228178812907, time = 0.80
2016-04-17T14:26:44.147413 ###  Checkpoint saved 
2016-04-17T14:26:44.709832 ### 1470/231, train_loss = 0.0280897452281, time = 0.96
2016-04-17T14:26:45.466626 ### 1471/231, train_loss = 0.0227483254213, time = 0.76
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2016-04-17T14:26:50.005677 ###  Checkpoint saved 
2016-04-17T14:26:50.235328 ### 1477/231, train_loss = 0.0301040704434, time = 0.95
2016-04-17T14:26:50.992862 ### 1478/231, train_loss = 0.0214912157792, time = 0.76
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