Enhance train.py with Configurable Training Parameters #378
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MervinPraison
commented
Feb 6, 2025
MervinPraison
commented
- Updated version to 2.0.73 across multiple files
- Refactored TrainModel to use configurable training parameters with default fallbacks
- Improved flexibility of training configuration by allowing custom settings via config
- Dynamically set training arguments based on provided configuration
- Updated version to 2.0.73 across multiple files - Refactored TrainModel to use configurable training parameters with default fallbacks - Improved flexibility of training configuration by allowing custom settings via config - Dynamically set training arguments based on provided configuration
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