Open
Conversation
This was referenced Sep 14, 2022
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
What's Here
Moves a more generalized IA3 adaptor implementation to Tango (PR pending) and provides an example script for how to use it in Catwalk.
Results on piqa
While hardly impressive results, the IA3 implementation manages to reduce validation loss and recover much of the accuracy of the fully tuned equivalent for all the architectures for which default configurations are provided. The
gpt-j-6bfull tune is not able to run on a single gpu while the IA3 training is able to fit due to having far fewer optimizer states for its fewer trainable parameters.