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

Pairwise Noise Contrastive Alignment #1632

Merged
merged 7 commits into from
May 14, 2024
Merged
Changes from 1 commit
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Prev Previous commit
fix
  • Loading branch information
younesbelkada committed May 14, 2024
commit 1f7038b75bbf046d6cc22afa1e23208484283de9
2 changes: 1 addition & 1 deletion tests/test_dpo_trainer.py
Original file line number Diff line number Diff line change
Expand Up @@ -122,7 +122,7 @@ def test_dpo_trainer(self, name, loss_type, pre_compute):
ref_model = self.t5_ref_model
tokenizer = self.t5_tokenizer

if name == "t5" and loss_tye == "nca_pair":
if name == "t5" and loss_type == "nca_pair":
self.skipTest("For some reason t5 + nca_pair does not compute gradients properly on tiny models")

trainer = DPOTrainer(
Expand Down
Loading