Comments (1)
在model.py里,是直接使用bert进行微调的,并没有加crf什么的。而crf.py里,是只取了bert最后一层的输出,作为句子的embedding,再输入到标准的bilstm-crf模型的,bert是没有参与训练的。
from bert-bilstm-crf-pytorch.
Related Issues (13)
- more elaborations on the whole pipeline? HOT 1
- crf.py
- CUDA error HOT 3
- loss 训练值过大 HOT 2
- P,R,F值一直没变化是怎么回事?我训练到了epoch=7的时候一直都没变化,一直都是0.81,请问有跟我遇到一样问题的小伙伴吗?或者作者能给解答一下吗? HOT 1
- 能用作文本分类吗 HOT 1
- bert一直报错 HOT 3
- TypeError: 'NoneType' object is not callable?
- 请问sent_vocab.json是根据训练集生成的,还是通用的?
- 预训练模型载入失败 HOT 2
- 感觉_score_sentence方法错了
- struggle with '/checkpoints/finetuning/100.pt' HOT 1
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from bert-bilstm-crf-pytorch.