# Evaluate a Model

Once the [model](/tensorleap-integration/uploading-with-cli/cli-assets-upload.md#uploading-a-model) and [code integration](/tensorleap-integration/uploading-with-cli/cli-assets-upload.md#uploading-code-only) are uploaded, we can start a model evaluation.

The **Evaluate Model** operation inferences the dataset throughout the model, and collects performance metrics and metadata for each sample. It runs the Tensorleap explainability engine over an extracted latent space to find issues within the model and dataset and to provide insights on how to diagnose and correct these. After it is finished, the collected data is presented on the [Dashboard](/user-interface/dashboards.md).

More than one evaluation can be performed on a model, since the same model could be configured to use different [code integration](broken://pages/WLUucOaJarx70imRF5r9) scripts which would effect data loading and metrics computations.

<figure><img src="/files/EYuMX3tLVFR3K0FnBw2p" alt=""><figcaption><p>The Evaluation panel</p></figcaption></figure>

To run an evaluation:

1. Click the <img src="/files/rqL3g8d3PjqQWxYbU3O0" alt="" data-size="line"> button at the top right to open the **Evaluate menu**. More info about the properties below:
2. Select a [Model Version](/user-interface/project/versions.md#switching-and-modifying-model-versions)
3. Provide a Model Run Name
4. (Optional) provide a description of the Run
5. Set the **Batch Size**.
6. Click ![](/files/2THC4MpyztRZg07m1C7n).

### Model Evaluation Video Tutorial

{% embed url="<https://app.guidde.com/share/playbooks/rbxnx2mNdyB6hH6VL7sWVL?mode=videoOnly&origin=k2buG3CvzZWUzfsWk7HPoOLDKpg2>" %}


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