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C:\Users\yinli\miniconda3\envs\bbcn\python.exe D:\实体\pytorch_bert_bilstm_crf_ner-main\main.py
{0: 'O', 1: 'B-dep', 2: 'I-dep', 3: 'E-dep', 4: 'S-dep', 5: 'B-dru', 6: 'I-dru', 7: 'E-dru', 8: 'S-dru',…
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Traceback (most recent call last):
File "e:\git clone download\BERT-BILSTM-CRF\main.py", line 190, in
main(data_name)
File "e:\git clone download\BERT-BILSTM-CRF\main.py", line 182, in mai…
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使用英文数据集训练出现如下错误,看了好久不知道怎么解决:
Traceback (most recent call last):
File "run.py", line 42, in
trainer.train()
File "F:\Files\lm_ner-main\process\Trainer.py", line 220, in train
loss = s…
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it shows that could not find directory which path is ner_bert_biLSTM_crf/tfrecords/train
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请问BERT-BiLSTM-CRF-NER文件夹中没有main.py文件么?
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为什么模型输出要比label_list多一个呢
https://github.com/FuYanzhe2/Name-Entity-Recognition/blob/master/BERT-BiLSTM-CRF-NER/bert_lstm_ner.py#L652
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比如说我用金融相关的数据集对Bert进行训练,得到训练出来的Bert。
问题1:用这个Bert对金融方面的文本序列进行词嵌入,是不是比没这样训练过的嵌入更准确?
问题2:用这个Bert再接bilstm+crf做金融方面nlp任务,比如命名实体识别等,是不是效果会比,不进行训练的Bert识别效果更好?
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l run the model in windows10 with CPU, but it will spend 4 hours every epoch, that is, 100 epoches need 400 hour in order to run the whole model. it claims it is faster than biLSTM+CRF, actually,it is…
wshzd updated
4 years ago
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Traceback (most recent call last):
File "D:\NER-ProJect\pytorch_bert_bilstm_crf_ner-main\predict.py", line 93, in
with open(args_path, "r", encoding="utf-8") as fp:
FileNotFoundError: [Errno…
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如何替换自己的数据,报错zero