Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

评价标准 #30

Open
MianWang123 opened this issue Feb 28, 2022 · 0 comments
Open

评价标准 #30

MianWang123 opened this issue Feb 28, 2022 · 0 comments

Comments

@MianWang123
Copy link

论文里列出了很多标准,包括 rhyme, tpl 等相关 loss,但是代码中真正做 backpropagation 的好像只有 nll/ppl。
我想请问下预训练的过程中,这些 格式、韵律 相关的 Loss 有做计算和backpropagation吗?

另外,论文中提到 Beam Search 方法生成,代码中只有在 test.py 里出现过,我想请问下是尝试过 TopK 生成效果优于 BeamSearch 吗?为什么在做 polish 的时候不选择 BeamSearch ?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant