Skip to content
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.

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

pt: fix typo in multitask finetune #3607

Merged
merged 1 commit into from
Mar 26, 2024

Conversation

iProzd
Copy link
Collaborator

@iProzd iProzd commented Mar 26, 2024

fix #3604 , when doing single-task finetuning from multitask pretrained model and do not define the finetune model branch from command-line or input file.

Copy link

codecov bot commented Mar 26, 2024

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 77.68%. Comparing base (964f02d) to head (869b94e).
Report is 1 commits behind head on devel.

Additional details and impacted files
@@            Coverage Diff             @@
##            devel    #3607      +/-   ##
==========================================
- Coverage   77.71%   77.68%   -0.03%     
==========================================
  Files         433      433              
  Lines       37498    37498              
  Branches     1620     1620              
==========================================
- Hits        29141    29130      -11     
- Misses       7496     7507      +11     
  Partials      861      861              

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

@iProzd iProzd added this pull request to the merge queue Mar 26, 2024
Merged via the queue into deepmodeling:devel with commit 3b5b805 Mar 26, 2024
48 checks passed
@iProzd iProzd deleted the fix_mul_finetune branch March 26, 2024 12:03
@njzjz njzjz mentioned this pull request Apr 2, 2024
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Projects
None yet
Development

Successfully merging this pull request may close these issues.

3 participants