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

Can't reproduce the CoQA ablation study #3

Open
sunan0519 opened this issue Jun 15, 2021 · 0 comments
Open

Can't reproduce the CoQA ablation study #3

sunan0519 opened this issue Jun 15, 2021 · 0 comments

Comments

@sunan0519
Copy link

sunan0519 commented Jun 15, 2021

Hi there,

I've been attempting to reproduce the ablation study on CoQA dev set. I've tried:

  1. perform experiment on GraphFlow model(2-His) and got 78.7% f1 score(78.3% in paper).
  2. set "use_bert"=False in config file, the performance dropped significantly to around 70% (which is actually 76.0% in paper).
  3. set "use_bert"=True and remove RGNN, the performance dropped slightly, which is also inconsistent with the result present in paper.

The question is that whether set "use_bert"=False means removing bert embeddings? If it is, is there anything else I should do to reproduce these results? Any advice would be appreciated.

Thanks,
Nan

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