feat: Add comprehensive fine-tuning framework with adapter layers #2674
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- Implement WhisperAdapter class for efficient fine-tuning - Add AdaptedWhisperModel with selective parameter freezing - Create FineTuningDataset for data preparation - Include WhisperFineTuner main training class - Support adapter saving/loading functionality - Address GitHub Discussions openai#64, openai#759 fine-tuning requests Features: - Parameter-efficient fine-tuning using adapter layers - Flexible target module selection - Integrated training pipeline with validation - Compatible with all Whisper model sizes - Memory-efficient training approach
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