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

Questions about Document Generation #22

Closed
dongqian0206 opened this issue Dec 7, 2022 · 1 comment
Closed

Questions about Document Generation #22

dongqian0206 opened this issue Dec 7, 2022 · 1 comment

Comments

@dongqian0206
Copy link

Hi there,

Thanks for releasing the codes. Much appreciated.

I have two questions regarding the document generation task, i.e., Table 1 in your paper.

  1. Which size of pre-trained GPT-2 did you use to compute MAUVE? In the original MAUVE paper, they tried different sizes.
  2. It seems to me that the length of the generated output matters when we try to alleviate the repetition problem, i.e., shorter, less repetitive. Could you recall the average length of the generated outputs?

Thank you in advance and looking forward to hearing from you.

Best,

Dong

@minji-o-j
Copy link

#7

I think they use the smallest version of GPT-2 (https://huggingface.co/gpt2)

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

2 participants