coderabbitai[bot]
commented
4 months ago Walkthrough
The recent changes in the workflow/training/whisper.py file enhance the management of training parameters by introducing an instance variable self.args. This modification allows for a more organized and streamlined access to training configuration variables, improving code clarity and reducing potential errors. The core functionality remains unchanged, ensuring that the model training process continues to operate effectively.
Changes
| Files | Change Summary |
|---|---|
workflow/training/whisper.py |
Introduced self.args in WhisperModel to streamline access to training arguments; modified method signatures for __init__ and get_training_args to reflect changes. |
Sequence Diagram(s)
sequenceDiagram
participant User
participant WhisperModel
participant TrainingArgs
User->>WhisperModel: Initialize with model_name, version, args
WhisperModel->>TrainingArgs: Store args in self.args
User->>WhisperModel: Request training arguments
WhisperModel->>TrainingArgs: Access parameters from self.args
TrainingArgs-->>WhisperModel: Return training parameters
WhisperModel-->>User: Provide training parametersPoem
🐰 In the code where whispers blend,
A change was made, a helpful friend.
Args now rest in cozy space,
For training flows with gentle grace.
With every line, the bugs take flight,
A cleaner path, our code's delight! 🌟
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Summary by CodeRabbit
New Features
Bug Fixes