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

Question about Table 12 in the paper #13

Closed
yutaro-s opened this issue Jul 23, 2022 · 2 comments
Closed

Question about Table 12 in the paper #13

yutaro-s opened this issue Jul 23, 2022 · 2 comments

Comments

@yutaro-s
Copy link

Hi. Thanks for the great work!
I'm trying to reproduce the results of Table 12 (impact of expander dimensionality) in your paper.
Could you teach me what hyperparameters you used in the experiments?

@Adrien987k
Copy link
Contributor

Hi,

All the hyper-parameters are described in Section 4.2 of the paper, except for the base learning rate for 100 epochs of pretraining which is 0.3 instead of 0.2 (Described in Appendix C.4 VICReg Setup.).
The code runs on 8 GPUs with an effective batch size of 2048.
The hyper-parameter are the same for every embedding size of Table 12.

Hope this helps.

@yutaro-s
Copy link
Author

Thanks for your quick reply. I'll try it.

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