[bugfix] fix dpo

[Jintao-Huang]

No description provided.

[gemini-code-assist]

Summary of Changes

Hello @Jintao-Huang, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request implements a bugfix related to Direct Preference Optimization (DPO) by refactoring method names. The change clarifies the purpose of a method responsible for creating loss and evaluation metrics, improving code readability and maintainability.

Highlights

• Method Renaming: The method create_loss_and_metric has been consistently renamed to create_loss_and_eval_metric in both ppo_trainer.py and rlhf_mixin.py.

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[gemini-code-assist]

Code Review

This pull request refactors the method create_loss_and_metric to create_loss_and_eval_metric in PPOTrainer and RLHFTrainerMixin. This change appears to be a bugfix or a refactoring for better clarity, likely to align the method name with its intended use in the framework for evaluation metrics. The change is consistent across the modified files. My review includes a minor suggestion to mark the unused args parameter in the new method signature, following common Python conventions to improve code readability and maintainability.

[gemini-code-assist]

The args parameter is not used in this method. To improve code clarity and adhere to common Python conventions, it's good practice to prefix unused parameters with an underscore.

Suggested change

	def create_loss_and_eval_metric(self, args):
	def create_loss_and_eval_metric(self, _args):

[gemini-code-assist]

The args parameter is not used in this method. To improve code clarity and adhere to common Python conventions, it's good practice to prefix unused parameters with an underscore.

Suggested change

	def create_loss_and_eval_metric(self, args):
	def create_loss_and_eval_metric(self, _args):