程序正确运行的时候应该是什么样的啊？ #72
Comments
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main.py 裡面的設定 max_epoch 查看你設定多少吧？ |
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我设成1时为什么第一次结束不停。。。 |
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I0714 22:21:06.095902 16048 main.py:87] accuracy: 98.70%; precision: 91.35%; recall: 90.13%; FB1: 90.73
2019-07-14 22:21:06,095 - log\train.log - INFO - LOC: precision: 92.31%; recall: 92.26%; FB1: 92.28 1950
I0714 22:21:06.095902 16048 main.py:87] LOC: precision: 92.31%; recall: 92.26%; FB1: 92.28 1950
2019-07-14 22:21:06,095 - log\train.log - INFO - ORG: precision: 87.19%; recall: 85.77%; FB1: 86.48 968
I0714 22:21:06.095902 16048 main.py:87] ORG: precision: 87.19%; recall: 85.77%; FB1: 86.48 968
2019-07-14 22:21:06,095 - log\train.log - INFO - PER: precision: 93.88%; recall: 90.27%; FB1: 92.04 850
I0714 22:21:06.095902 16048 main.py:87] PER: precision: 93.88%; recall: 90.27%; FB1: 92.04 850
2019-07-14 22:21:06,122 - log\train.log - INFO - evaluate:test
I0714 22:21:06.122297 16048 main.py:83] evaluate:test
2019-07-14 22:22:35,012 - log\train.log - INFO - processed 219197 tokens with 7707 phrases; found: 7658 phrases; correct: 6885.
I0714 22:22:35.012353 16048 main.py:87] processed 219197 tokens with 7707 phrases; found: 7658 phrases; correct: 6885.
2019-07-14 22:22:35,012 - log\train.log - INFO - accuracy: 98.47%; precision: 89.91%; recall: 89.33%; FB1: 89.62
I0714 22:22:35.012353 16048 main.py:87] accuracy: 98.47%; precision: 89.91%; recall: 89.33%; FB1: 89.62
2019-07-14 22:22:35,012 - log\train.log - INFO - LOC: precision: 90.54%; recall: 92.37%; FB1: 91.45 3732
I0714 22:22:35.012353 16048 main.py:87] LOC: precision: 90.54%; recall: 92.37%; FB1: 91.45 3732
2019-07-14 22:22:35,027 - log\train.log - INFO - ORG: precision: 84.39%; recall: 82.65%; FB1: 83.51 2140
I0714 22:22:35.027977 16048 main.py:87] ORG: precision: 84.39%; recall: 82.65%; FB1: 83.51 2140
2019-07-14 22:22:35,041 - log\train.log - INFO - PER: precision: 95.18%; recall: 91.20%; FB1: 93.15 1786
I0714 22:22:35.041897 16048 main.py:87] PER: precision: 95.18%; recall: 91.20%; FB1: 93.15 1786
2019-07-14 22:22:42,296 - log\train.log - INFO - iteration:18 step:52/1044, NER loss: 0.347525
I0714 22:22:42.296953 16048 main.py:182] iteration:18 step:52/1044, NER loss: 0.347525
2019-07-14 22:22:52,466 - log\train.log - INFO - iteration:18 step:152/1044, NER loss: 0.271676
I0714 22:22:52.466810 16048 main.py:182] iteration:18 step:152/1044, NER loss: 0.271676
2019-07-14 22:23:05,443 - log\train.log - INFO - iteration:18 step:252/1044, NER loss: 0.316673
I0714 22:23:05.443189 16048 main.py:182] iteration:18 step:252/1044, NER loss: 0.316673
2019-07-14 22:23:16,387 - log\train.log - INFO - iteration:18 step:352/1044, NER loss: 0.323721
I0714 22:23:16.387084 16048 main.py:182] iteration:18 step:352/1044, NER loss: 0.323721
2019-07-14 22:23:30,459 - log\train.log - INFO - iteration:18 step:452/1044, NER loss: 0.356703
I0714 22:23:30.459775 16048 main.py:182] iteration:18 step:452/1044, NER loss: 0.356703
2019-07-14 22:23:44,317 - log\train.log - INFO - iteration:18 step:552/1044, NER loss: 0.342180
I0714 22:23:44.317629 16048 main.py:182] iteration:18 step:552/1044, NER loss: 0.342180
2019-07-14 22:23:56,616 - log\train.log - INFO - iteration:18 step:652/1044, NER loss: 0.356979
I0714 22:23:56.616914 16048 main.py:182] iteration:18 step:652/1044, NER loss: 0.356979
2019-07-14 22:24:06,993 - log\train.log - INFO - iteration:18 step:752/1044, NER loss: 0.351169
I0714 22:24:06.993116 16048 main.py:182] iteration:18 step:752/1044, NER loss: 0.351169
2019-07-14 22:24:18,618 - log\train.log - INFO - iteration:18 step:852/1044, NER loss: 0.337563
I0714 22:24:18.618681 16048 main.py:182] iteration:18 step:852/1044, NER loss: 0.337563
2019-07-14 22:24:29,315 - log\train.log - INFO - iteration:18 step:952/1044, NER loss: 0.341162
I0714 22:24:29.315000 16048 main.py:182] iteration:18 step:952/1044, NER loss: 0.341162
2019-07-14 22:24:40,397 - log\train.log - INFO - evaluate:dev
I0714 22:24:40.397369 16048 main.py:83] evaluate:dev
2019-07-14 22:25:24,477 - log\train.log - INFO - processed 109870 tokens with 3819 phrases; found: 3788 phrases; correct: 3468.
I0714 22:25:24.477840 16048 main.py:87] processed 109870 tokens with 3819 phrases; found: 3788 phrases; correct: 3468.
2019-07-14 22:25:24,477 - log\train.log - INFO - accuracy: 98.68%; precision: 91.55%; recall: 90.81%; FB1: 91.18
I0714 22:25:24.477840 16048 main.py:87] accuracy: 98.68%; precision: 91.55%; recall: 90.81%; FB1: 91.18
2019-07-14 22:25:24,477 - log\train.log - INFO - LOC: precision: 92.69%; recall: 92.98%; FB1: 92.84 1957
I0714 22:25:24.477840 16048 main.py:87] LOC: precision: 92.69%; recall: 92.98%; FB1: 92.84 1957
2019-07-14 22:25:24,495 - log\train.log - INFO - ORG: precision: 87.76%; recall: 85.98%; FB1: 86.86 964
I0714 22:25:24.495465 16048 main.py:87] ORG: precision: 87.76%; recall: 85.98%; FB1: 86.86 964
2019-07-14 22:25:24,504 - log\train.log - INFO - PER: precision: 93.19%; recall: 91.40%; FB1: 92.29 867
I0714 22:25:24.504460 16048 main.py:87] PER: precision: 93.19%; recall: 91.40%; FB1: 92.29 867
2019-07-14 22:25:24,994 - log\train.log - INFO - new best dev f1 score:91.180
I0714 22:25:24.994682 16048 main.py:94] new best dev f1 score:91.180
2019-07-14 22:25:26,043 - log\train.log - INFO - model saved
I0714 22:25:26.043349 16048 utils.py:167] model saved
2019-07-14 22:25:26,044 - log\train.log - INFO - evaluate:test
I0714 22:25:26.044801 16048 main.py:83] evaluate:test
.......
我的一直在重复打印这些东西...是不是有问题啊
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