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

To identify the problem areas where transformation errors occur in large models, temporarily replace them with LayerNormalization in Keras, which is more stable. #319

Merged
merged 1 commit into from
Apr 18, 2023

Conversation

PINTO0309
Copy link
Owner

1. Content and background

  • LayerNormalization
    • To identify the problem areas where transformation errors occur in large models, temporarily replace them with LayerNormalization in Keras, which is more stable.

2. Summary of corrections

3. Before/After (If there is an operating log that can be used as a reference)

4. Issue number (only if there is a related issue)

…rge models, temporarily replace them with `LayerNormalization` in Keras, which is more stable.
@PINTO0309 PINTO0309 merged commit 4b7cdff into main Apr 18, 2023
@PINTO0309 PINTO0309 deleted the fix_layernorm2 branch April 18, 2023 14:43
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 this pull request may close these issues.

1 participant