> ## Documentation Index
> Fetch the complete documentation index at: https://docs.trymaitai.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Validation

> Reviewing automated results and checking for regressions

After the run completes, Maitai automatically executes a **Validation Run** to verify model accuracy and performance.

<img src="https://mintcdn.com/maitai-cbe2cd27/o70b7aP0pbkBNV82/images/forge/models/Build_Models_Validation.png?fit=max&auto=format&n=o70b7aP0pbkBNV82&q=85&s=3738bccf49142f1b3af2b0a8c6390e76" alt="Validation" width="1676" height="887" data-path="images/forge/models/Build_Models_Validation.png" />

### Key Metrics

* **Training vs. Validation Loss**: Ensure the model is learning without over-fitting.
* **Accuracy Improvement**: Verify the model correctly predicts outputs in your validation set compared to the base model.
* **Regression Check**: Run your **Test Set** against the new weights to ensure general performance remains high and no regressions were introduced.

## Next

* Deploy a successful run: [Deployment](/build/models/deployment)
* Benchmark the candidate model on golden cases: [Test Sets](/test/test_sets/creation)
