Stas stas-sl
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| I0428 23:20:07.606009 6470 solver.cpp:280] Solving mixed_lstm | |
| I0428 23:20:07.606020 6470 solver.cpp:281] Learning Rate Policy: fixed | |
| I0428 23:20:07.969547 6470 solver.cpp:229] Iteration 0, loss = 27.5204 | |
| I0428 23:20:07.969617 6470 solver.cpp:245] Train net output #0: loss1/accuracy = 0 | |
| I0428 23:20:07.969635 6470 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0 | |
| I0428 23:20:07.969650 6470 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0 | |
| I0428 23:20:07.969666 6470 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0 | |
| I0428 23:20:07.969679 6470 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0 | |
| I0428 23:20:07.969691 6470 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.125 | |
| I0428 23:20:07.969703 6470 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0 |
stas-sl
/ mixed_14_2
Created
April 30, 2016 06:26
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| I0429 09:32:51.715076 8162 solver.cpp:280] Solving mixed_lstm | |
| I0429 09:32:51.715093 8162 solver.cpp:281] Learning Rate Policy: fixed | |
| I0429 09:32:52.102222 8162 solver.cpp:229] Iteration 0, loss = 4.62979 | |
| I0429 09:32:52.102285 8162 solver.cpp:245] Train net output #0: loss1/accuracy = 0.4 | |
| I0429 09:32:52.102303 8162 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.125 | |
| I0429 09:32:52.102318 8162 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.5 | |
| I0429 09:32:52.102329 8162 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.375 | |
| I0429 09:32:52.102342 8162 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.25 | |
| I0429 09:32:52.102355 8162 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.5 | |
| I0429 09:32:52.102366 8162 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.5 |
stas-sl
/ mixed_14_3
Last active
May 4, 2016 08:27
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| I0430 14:38:39.975833 15443 solver.cpp:280] Solving mixed_lstm | |
| I0430 14:38:39.975847 15443 solver.cpp:281] Learning Rate Policy: fixed | |
| I0430 14:38:40.358908 15443 solver.cpp:229] Iteration 0, loss = 5.42065 | |
| I0430 14:38:40.358966 15443 solver.cpp:245] Train net output #0: loss1/accuracy = 0.510638 | |
| I0430 14:38:40.358986 15443 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.75 | |
| I0430 14:38:40.358999 15443 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.375 | |
| I0430 14:38:40.359011 15443 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.375 | |
| I0430 14:38:40.359024 15443 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.375 | |
| I0430 14:38:40.359035 15443 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.375 | |
| I0430 14:38:40.359047 15443 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.625 |
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| I0506 00:21:17.931069 15760 solver.cpp:280] Solving mixed_lstm | |
| I0506 00:21:17.931088 15760 solver.cpp:281] Learning Rate Policy: fixed | |
| I0506 00:21:18.209065 15760 solver.cpp:229] Iteration 0, loss = 27.5695 | |
| I0506 00:21:18.209156 15760 solver.cpp:245] Train net output #0: loss1/accuracy = 0 | |
| I0506 00:21:18.209175 15760 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0 | |
| I0506 00:21:18.209188 15760 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0 | |
| I0506 00:21:18.209200 15760 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0 | |
| I0506 00:21:18.209211 15760 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0 | |
| I0506 00:21:18.209223 15760 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.125 | |
| I0506 00:21:18.209236 15760 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0 |
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| I0506 00:21:17.931069 15760 solver.cpp:280] Solving mixed_lstm | |
| I0506 00:21:17.931088 15760 solver.cpp:281] Learning Rate Policy: fixed | |
| I0506 00:21:18.209065 15760 solver.cpp:229] Iteration 0, loss = 27.5695 | |
| I0506 00:21:18.209156 15760 solver.cpp:245] Train net output #0: loss1/accuracy = 0 | |
| I0506 00:21:18.209175 15760 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0 | |
| I0506 00:21:18.209188 15760 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0 | |
| I0506 00:21:18.209200 15760 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0 | |
| I0506 00:21:18.209211 15760 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0 | |
| I0506 00:21:18.209223 15760 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.125 | |
| I0506 00:21:18.209236 15760 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0 |
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| I0510 15:24:57.106338 10926 solver.cpp:280] Solving mixed_lstm | |
| I0510 15:24:57.106350 10926 solver.cpp:281] Learning Rate Policy: fixed | |
| I0510 15:24:57.414443 10926 solver.cpp:229] Iteration 0, loss = 28.4505 | |
| I0510 15:24:57.414511 10926 solver.cpp:245] Train net output #0: loss1/accuracy = 0 | |
| I0510 15:24:57.414530 10926 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0 | |
| I0510 15:24:57.414542 10926 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0 | |
| I0510 15:24:57.414554 10926 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0 | |
| I0510 15:24:57.414566 10926 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0 | |
| I0510 15:24:57.414578 10926 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0 | |
| I0510 15:24:57.414590 10926 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0 |
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| I0525 00:09:25.737826 5272 solver.cpp:280] Solving mixed_lstm | |
| I0525 00:09:25.737840 5272 solver.cpp:281] Learning Rate Policy: fixed | |
| I0525 00:09:26.273970 5272 solver.cpp:229] Iteration 0, loss = 27.9836 | |
| I0525 00:09:26.274058 5272 solver.cpp:245] Train net output #0: loss1/accuracy = 0 | |
| I0525 00:09:26.274077 5272 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0 | |
| I0525 00:09:26.274091 5272 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0 | |
| I0525 00:09:26.274102 5272 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0 | |
| I0525 00:09:26.274114 5272 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0 | |
| I0525 00:09:26.274126 5272 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.125 | |
| I0525 00:09:26.274138 5272 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0 |
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| I0525 00:09:25.737826 5272 solver.cpp:280] Solving mixed_lstm | |
| I0525 00:09:25.737840 5272 solver.cpp:281] Learning Rate Policy: fixed | |
| I0525 00:09:26.273970 5272 solver.cpp:229] Iteration 0, loss = 27.9836 | |
| I0525 00:09:26.274058 5272 solver.cpp:245] Train net output #0: loss1/accuracy = 0 | |
| I0525 00:09:26.274077 5272 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0 | |
| I0525 00:09:26.274091 5272 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0 | |
| I0525 00:09:26.274102 5272 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0 | |
| I0525 00:09:26.274114 5272 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0 | |
| I0525 00:09:26.274126 5272 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.125 | |
| I0525 00:09:26.274138 5272 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0 |
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| I0607 01:01:32.950039 32403 solver.cpp:280] Solving mixed_lstm | |
| I0607 01:01:32.950052 32403 solver.cpp:281] Learning Rate Policy: fixed | |
| I0607 01:01:32.960855 32403 solver.cpp:338] Iteration 0, Testing net (#0) | |
| I0607 01:02:33.209952 32403 solver.cpp:393] Test loss: 2.53488 | |
| I0607 01:02:33.210446 32403 solver.cpp:406] Test net output #0: loss1/accuracy = 0.638494 | |
| I0607 01:02:33.210469 32403 solver.cpp:406] Test net output #1: loss1/accuracy01 = 0.796 | |
| I0607 01:02:33.210481 32403 solver.cpp:406] Test net output #2: loss1/accuracy02 = 0.667 | |
| I0607 01:02:33.210494 32403 solver.cpp:406] Test net output #3: loss1/accuracy03 = 0.569 | |
| I0607 01:02:33.210505 32403 solver.cpp:406] Test net output #4: loss1/accuracy04 = 0.476 | |
| I0607 01:02:33.210517 32403 solver.cpp:406] Test net output #5: loss1/accuracy05 = 0.534 |
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| I0612 14:48:17.543987 6181 solver.cpp:280] Solving mixed_lstm | |
| I0612 14:48:17.543999 6181 solver.cpp:281] Learning Rate Policy: fixed | |
| I0612 14:48:17.554961 6181 solver.cpp:338] Iteration 0, Testing net (#0) | |
| I0612 14:49:17.784380 6181 solver.cpp:393] Test loss: 2.74935 | |
| I0612 14:49:17.784834 6181 solver.cpp:406] Test net output #0: loss1/accuracy = 0.62328 | |
| I0612 14:49:17.784857 6181 solver.cpp:406] Test net output #1: loss1/accuracy01 = 0.772 | |
| I0612 14:49:17.784870 6181 solver.cpp:406] Test net output #2: loss1/accuracy02 = 0.65 | |
| I0612 14:49:17.784883 6181 solver.cpp:406] Test net output #3: loss1/accuracy03 = 0.535 | |
| I0612 14:49:17.784894 6181 solver.cpp:406] Test net output #4: loss1/accuracy04 = 0.498 | |
| I0612 14:49:17.784906 6181 solver.cpp:406] Test net output #5: loss1/accuracy05 = 0.509 |