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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