temp do not merge: Add sneeze transcription model to finetune whisper#275
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✨ Finishing touches🧪 Generate unit tests (beta)
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…ng/export workflow
…nto feat/swipe-anomaly
- Updated the `maybe_anomaly` field in the `Conversation` model to include 'rejected' as a possible status. - Implemented logic to mark transcripts as handled in the database when rejected, preventing them from reappearing in the events queue. - Added a new environment variable to enable or disable the user loop modal in the frontend. - Refactored the `UserLoopModal` component to fetch events from the backend and conditionally display based on the new environment variable. - Improved error handling in event fetching to ensure robustness. - Updated tests to verify the correct handling of rejected transcripts and their impact on the events queue.
- Updated user loop integration tests to improve structure and clarity. - Added new keywords for marking test conversations as deleted in the helper functions. - Enhanced test cases to ensure proper handling of rejected and accepted swipe flows. - Improved documentation for test cases and keywords to reflect recent changes.
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wtf i ididn't meant to |
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accidental close |
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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
Key Results
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.