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使用supervised.py代码微调simbertV2时，每次跑出来的成绩相差巨大 #22

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JeremySun1224 opened this issue Mar 10, 2022 · 1 comment

JeremySun1224 commented Mar 10, 2022

我在使用supervised.py代码(https://raw.githubusercontent.com/ZhuiyiTechnology...
微调chinese_roformer-sim-char-ft_L-12_H-768_A-12时，每次跑出来的成绩相差巨大，有时候accuracy能有0.9，有时候0.1都不到，请问您知道是什么原因吗？（数据集是蚂蚁金服的文本匹配数据https://www.kaggle.com/zephyrwang666/afqmc-public）
请老师指点🙏

bojone commented Mar 10, 2022

因为sentence-bert就不是微调的好方法，最好用笔者后面提出的CoSENT吧。

https://kexue.fm/archives/8847

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