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

Add support for label efficiency evals #712

Open
nkaenzig opened this issue Nov 22, 2024 · 0 comments · May be fixed by #713
Open

Add support for label efficiency evals #712

nkaenzig opened this issue Nov 22, 2024 · 0 comments · May be fixed by #713
Assignees

Comments

@nkaenzig
Copy link
Collaborator

nkaenzig commented Nov 22, 2024

One of the key advantages of FMs is that it has the potential to reduce the required number of annotated samples significantly. We should add some features to measure the label efficiency of FMs, for instance by subsampling the number of training samples.

@nkaenzig nkaenzig self-assigned this Nov 22, 2024
@nkaenzig nkaenzig linked a pull request Nov 22, 2024 that will close this issue
@nkaenzig nkaenzig linked a pull request Nov 22, 2024 that will close this issue
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

Successfully merging a pull request may close this issue.

1 participant