temp do not merge: Add sneeze transcription model to finetune whisper

[0xrushi]

Add Training and Evaluation Results Documentation

This PR adds comprehensive results documentation to the Whisper sneeze adapter fine-tuning README, documenting the model's performance after training.

Changes

• Added Results Section: Comprehensive documentation of training and evaluation metrics
  • Training loss progression table showing convergence over 200 steps
  • Final training metrics (loss: 0.001, validation loss: 0.002856, WER: 0.0%)
  • Evaluation results on test set (WER: 32.17%, Sneeze Recall: 50%, False Positives: 0)
  • Analysis of missed sneezes with specific examples
  • Performance analysis and insights

Key Results

• Training: Achieved 0.0% WER on validation set after 200 training steps (probably overfit)
• Evaluation: 50% sneeze recall (2/4 detected) with zero false positives
• Efficiency: fine-tuned with only 13 training examples

Impact

This documentation provides transparency into the model's performance and demonstrates that effective fine-tuning is possible with minimal data using LoRA adapters, making it easier for others to understand the project's outcomes and reproducibility.

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✨ Finishing touches

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Post copyable unit tests in a comment

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