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# Reports

Many nodes don't just write a dataset or a model: they explain what they found. Training nodes report how the run converged, evaluation nodes report where a model fails, data quality nodes report what's wrong with a dataset. These **reports** are documents built from the run's own results, with charts, tables, metrics and image galleries you can drill into.

![An object detection evaluation report open on its per-class breakdown, with a bar chart of average precision by class](/_fern-files/_img/fb918c41681049d15846b3768e317c34565fa10e3ba6e1cd7d95849b214e0fd6.webp)

## What a report is like

A report is written for someone deciding what to do next, so it states its conclusion first — *the model is ready for review*, *three classes are under-represented* — and puts the supporting evidence below. Charts, tables and findings lead to the images behind them, so you can check a number against the data instead of taking it on faith.

Reports from long runs, such as training, are **live**: open one while the node is still running and it refreshes as new epochs come in.

## Where to open them

* **Open report** on the node that produced it — the most common way.
* The **Artifacts** of a run in the node's History tab, for reports of earlier runs.
* **Report** on a model or model version in the registry, for its training report, and next to each evaluation.
* **Open** in a Benchmarks leaderboard.
* **Report** on a deployment.

## Keeping and sharing

Each run builds a new report and keeps the earlier ones, so you can compare this week's evaluation with last week's. A report is an asset of the workspace: anyone who can see the flow or its data can open it.

To send a report to someone outside OvalBee, use **Report actions** → **Export as .html** for a self-contained file, or **Print...** to save it as PDF.

## Related pages

* [Models and deployments](/concepts/models) — where training and evaluation reports are linked.
* [Check and clean a dataset](/use-cases/check-and-clean-data) — reports on data quality.
* [Evaluate and compare models](/use-cases/evaluate-and-compare) — reports on model quality.