Implement gradient pre-normalization in LAMB optimizer #415

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

Open

jglaser wants to merge 1 commit into jettify:master from jglaser:prenormalization

jglaser commented Jan 15, 2022

This PR implements the normalization of gradients (by the norm of all gradients in the model) as discussed in https://developer.nvidia.com/blog/pretraining-bert-with-layer-wise-adaptive-learning-rates/

Adding the prenorm Boolean option to torch_optimizer.lamb


          add gradient prenormalization

8295d1d

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet