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 I use ReFL method to train another dataset for a new reward model? #96

Open
LOGIC-10 opened this issue Sep 17, 2024 · 1 comment
Open
Labels
training How to train ImageReward

Comments

@LOGIC-10
Copy link

Hi, thanks for your fantastic work! I am trying to understand how to use the ReFL method to train a new reward model with a custom dataset. Specifically, I am unsure how to structure my dataset and integrate it into the current codebase. The current code reads image files in a way that is not immediately clear to me.

The current code reads image files in a way that seems to rely on specific identifiers rather than absolute file paths. This makes it unclear how to apply my own dataset. Thanks if you can give a guidance on how to ensure my dataset is correctly loaded and processed for training.

Thanks a lot!

@xujz18
Copy link
Member

xujz18 commented Oct 3, 2024

image You can refer to this section and notice that there is a make dataset function to process data.

@xujz18 xujz18 added the training How to train ImageReward label Oct 3, 2024
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
training How to train ImageReward
Projects
None yet
Development

No branches or pull requests

2 participants