A fine-tuned model improves one task but regresses on important safety and generalization cases. What should the release process do?

1. Remove the regression cases from evaluation
2. Promote every fine-tune because training completed
3. Treat a newer model timestamp as proof of superiority
4. Compare against the base and current production model using independent release criteria