Sanity Checks
Development & Tools
Quick validations to ensure models behave as expected
What is Sanity Checks?
Include checks for training loss decreasing, metrics in expected ranges, and data-label alignment before trusting results.
Real-World Examples
- •Train small model on a subset to validate pipeline
Related Terms
Learn more about concepts related to Sanity Checks