macanv / BERT-BiLSTM-CRF-NER

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
https://github.com/macanv/BERT-BiLSMT-CRF-NER
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未做任何调整,连续两次跑的结果,为什么差别那么大呢? #299

Closed a461925358 closed 4 years ago

a461925358 commented 4 years ago

未做任何调整,连续两次跑的结果,为什么差别那么大呢?会出现有的类别实体提取不到

processed 32954 tokens with 864 phrases; found: 867 phrases; correct: 862. accuracy: 99.64%; precision: 99.42%; recall: 99.77%; FB1: 99.60 COM: precision: 99.39%; recall: 99.69%; FB1: 99.54 652 FUN: precision: 100.00%; recall: 100.00%; FB1: 100.00 101 PER: precision: 99.12%; recall: 100.00%; FB1: 99.56 114


processed 32954 tokens with 864 phrases; found: 963 phrases; correct: 762. accuracy: 99.65%; precision: 79.13%; recall: 88.19%; FB1: 83.42 COM: precision: 86.42%; recall: 99.85%; FB1: 92.65 751 FUN: precision: 0.00%; recall: 0.00%; FB1: 0.00 99 PER: precision: 100.00%; recall: 100.00%; FB1: 100.00 113

macanv commented 4 years ago

没有拟合呗。。。