Athina is designed to help you measure your model performance in production.

If you have configured automatic evals to run against your logged inferences, then your dashboard will automatically populate with a breakdown of your model performance metrics.

Click on the Performance Metrics section on the top left of your dashboard to see a breakdown of the model performance metrics.

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How to interpret Eval Metrics

  • Evals may have 1 or more metrics configured.
  • Most metrics will be scored between 0.0 and 1.0, with 1.0 being the best possible score.
  • Boolean metrics will contain a Pass (1.0) / Fail (0.0) result.
  • Numeric metrics will contain a score between 0.0 and 1.0.

Pass Rate = The percentage of inferences that passed all of the configured boolean evals.

Continuous EvaluationCustom Models