[API] Make dataset attribute optional
#85
Merged
Conversation
This file contains 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
- add a warning for `batch_size`issue - added tests
|
The documentation is not available anymore as the PR was closed or merged. |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
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Outdated suggestions cannot be applied.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 does this PR do?
This PR makes the
datasetattribute optional for thePPOTrainerto simplify the API. Currently one needs to create a Dataset class in order to initialize thePPOTrainer. We can make things simpler by making this attribute optional.Though the
PPOTrainertraining loop relies heavily on theconfig.batch_sizeattribute, I suggest to warn users to make sure that they have setconfig.batch_sizeto the correct batch_size before running anythingAlso updated and tested the script on the REAMDE
@lvwerra