Curriculum learning #1307
Merged
Curriculum learning #1307
Conversation
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
Co-authored-by: Conglong Li <conglong.li@gmail.com>
conglongli
requested review from
RezaYazdaniAminabadi,
ShadenSmith,
awan-10,
cli99,
eltonzheng,
jeffra,
minjiaz,
niumanar,
samyam and
tjruwase
as code owners
jeffra
approved these changes
Aug 16, 2021
minjiaz
reviewed
Aug 16, 2021
Contributor
minjiaz
left a comment
minjiaz
left a comment
There was a problem hiding this comment.
Looks good overall to me. Added a few comments. Also, where is the sequence truncation logic implemented?
minjiaz
approved these changes
Aug 16, 2021
Contributor
minjiaz
left a comment
minjiaz
left a comment
There was a problem hiding this comment.
Thanks, Conglong, for addressing the comments. The PR looks good to me!
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Outdated suggestions cannot be applied.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.
Curriculum Learning: A Regularization Method for Efficient and Stable Billion-Scale GPT Model Pre-Training
Tech report: https://arxiv.org/abs/2108.06084
Co-authored-by: Minjia Zhang minjiaz@microsoft.com