Using Custom Evaluators During Training | Datawizz

This video demonstrates how to implement custom evaluation metrics during model training in Datawizz, allowing you to monitor domain-specific performance metrics alongside standard training/validation loss. Technical Overview: In this example, I train a conversation summarization model (Qwen-0.6B base) and track ROUGE scores during training. The feature supports both built-in metrics and custom evaluation functions, including LLM-as-judge implementations. Key Features Covered: - Configuring custom evaluators in the training pipeline - Real-time metric visualization during training epochs - A…