This repository has been archived by the owner on Nov 22, 2022. It is now read-only.
Create AlternatingRandomizedBatchSampler #737
Closed
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
Summary: The AlternatingRandomizedBatchSampler is a RandomizedBatchSampler that alternates creating batches from two sets of keys. It takes two dictionaries of unnormalized iterator probabilities and chooses a batch using a key from the first dictionary using the corresponding probabilities and then a batch from the other dictionary the next round. The AlternatingRandomizedBatchSampler is intended to be used during XLM pre-training to enforce a pattern of MLM, TLM, MLM, TLM tasks. Differential Revision: D15931223 fbshipit-source-id: 137641002d175c5b0d7cdada28b0f3536b8bb78b
facebook-github-bot
added
the
CLA Signed
|
This pull request has been merged in 90c1445. |
Sign up for free
to subscribe to this conversation on GitHub.
Already have an account?
Sign in.
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Outdated suggestions cannot be applied.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.
Summary:
The AlternatingRandomizedBatchSampler is a RandomizedBatchSampler that alternates creating batches from two sets of keys. It takes two dictionaries of unnormalized iterator probabilities and chooses a batch using a key from the first dictionary using the corresponding probabilities and then a batch from the other dictionary the next round.
The AlternatingRandomizedBatchSampler is intended to be used during XLM pre-training to enforce a pattern of MLM, TLM, MLM, TLM tasks.
Differential Revision: D15931223