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

# UNDERSTANDING RESULTS

> How to read the results from your evaluation run

Once your evaluation job has finished, go to **Evaluations** and click on your evaluation to view the results. Each evaluator’s score indicates how well the model performed against the defined criteria.

Clicking on `Explore Results` gives access to individual sample-level results.

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## INTERPRETING RESULTS

You can use your evaluation results to:

* Compare baseline models to fine-tuned models
* Identify regressions or improvements due after model changes
* Decide whether to retrain, adjust data, or refine evaluators

Evaluation results become significantly more valuable when paired with failure mode analysis and data synthesis. By identifying where and why a model underperforms, you can systematically generate targeted data to address those weaknesses, creating a tight feedback loop between evaluation, diagnosis, and improvement. This integrated approach enables more efficient iteration and drives measurable gains in model performance.