Comments (1)
qiufengyuyi
commented on September 6, 2024
https://github.com/qiufengyuyi/sequence_tagging/blob/master/models/bert_mrc.py
然后看到代码中关于bert_mrc计算f1时，不应该是根据实体来计算的吗
看代码中是根据start end指针来分开计算的吗最近也在复现bert-mrc模型，基于MSRA数据集，但是效果10个epoch F1只能达到 0.64，50个epoch效果会好点。但是也到不了0.9多，不知道是哪里存在问题了。
然后在根据start end指针提取实体的时候，会遇到start指针有些不能与end指针匹配上的问题。
1、截图中的f1计算方法只是在train_and_evaluate时候观察训练状态用的，最后inference的时候我是计算的span-level的f1。具体内容在load_and_predict.py里面
2、试试学习率调一下？
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Related Issues (12)
- Code is not complete HOT 1
- code is not complete HOT 1
- args.do_test HOT 2
- if i wanna use my own corpus to train the model? HOT 1
- BertForMWA中torch版本的crf文件缺失 HOT 2
- 关于bilstm模型网络结构的疑惑 HOT 1
- data_processing中没有lstmcrf_prepare_data HOT 1
- 训练自己数据问题 HOT 1
- 模型预测怎么支持只传入text 内容
- 请问, 在data_utils.py中的create_dataset_for_torch如何修改? HOT 1
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