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.

Sign up for GitHub

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

Jump to bottom

Finetuning Recommendation #39

Open
hanif-rt opened this issue Aug 14, 2024 · 0 comments
Open

Finetuning Recommendation #39

hanif-rt opened this issue Aug 14, 2024 · 0 comments

Comments

@hanif-rt
Copy link

I saw from the README.md that you recommend continue training from a checkpoint to do fine-tuning.

For a completely different domain (probs with a fraction 50-100 hours, compared to the 3000h for pre-training), have anyone tried different fine-tuning strategies:
(1) Adapter?
(2) Freezing certain layers, etc?

cc: @mpc001
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
1 participant
@hanif-rt