Evaluating Fine-Tuned Models

Summary

Measuring whether a fine-tuned model actually improved on the target task without regressing on general capability — requires task-specific metrics plus qualitative review.

• 1Build a small evaluation set separate from training data and score before/after fine-tuning.
• 2Combine automated metrics with manual review of real outputs.
• 3Check for regressions on tasks outside the fine-tuning focus, not just the target task.