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UIE中NER可以使用自己doccano标注的数据进行训练么? #4320
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@tonyanhq @ZeyuChen @kztao @QingshuChen |
hi大佬,我的任务比较简单,我是用的waybill_ie,三个类别(P-B,P-I,O),但是出了个bug, |
运行代码 |
@ucas010 方便提供一下复现代码么,我们尝试复现下这个问题 |
python run_ernie_crf.py --data_dir /data/PaddleNLP/examples/information_extraction/waybill_ie/data2/ --batch_size 256 --epochs 10 --save_dir /data/PaddleNLP/examples/information_extraction/waybill_ie/models/ernie_crf_ckpt/ |
@ucas010 方便的话可以贴一下微调用到的数据集 |
This issue is stale because it has been open for 60 days with no activity. 当前issue 60天内无活动,被标记为stale。 |
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Feature request
不做微调,直接用自己的数据进行训练,
NER中实体与bert-base有很大差异,标签就一个关键词,其他都是other,
这种我想自己训练个模型,请问下有脚本或参考文档么?
感谢!!
Motivation
因为有的很大实体识别并不仅仅限于O,per,loc,misc,time,money等等
还有可能不是这些,直接就是特定的词,不管他啥词性。
Your contribution
thx
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