TrainingArguments
Structure is changed and now it's a dataclass.BaseTrainer
: This improved version of theBaseTrainer
Tip
This improved version of the BaseTrainer
class includes the following enhancements:
- Better code organization: Methods are grouped logically and broken down into smaller, more focused functions.
- Improved readability: Complex operations are split into separate methods with descriptive names.
- Type hinting: Added more type hints to improve code clarity and catch potential errors.
- Error handling: Added more explicit error messages and checks.
- Reduced code duplication: Extracted common operations into separate methods.
- Improved configurability: Made it easier to extend and customize the trainer for different use cases.
Some potential further improvements could include:
- Adding more extensive logging throughout the training process.
- Implementing a progress bar for long-running operations.
- Implementing early stopping based on validation metrics.
- Adding support for mixed precision training.
- Adding support for custom metrics and loss functions.
- Implementing model checkpointing based on best validation scores.
These improvements make the BaseTrainer
class more robust, easier to understand, and more maintainable. > The abstract methods train
and eval
still need to be implemented in subclasses to provide the specific > training and evaluation logic for different model types.
- Overall improvement in
OrpoTrainer
,DPOTrainer
,CLMTrainer
,SFTTrainer
. ApiEngine
andengine_client
are added.