> For the complete documentation index, see [llms.txt](https://docs.tensorleap.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tensorleap.ai/user-interface/project/menu-bar/evaluate-a-model.md).
# Evaluate a Model
Learn how to evaluate models in the platform
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.
The Evaluation panel
To run an evaluation:
1. Click the 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 .
### Model Evaluation Video Tutorial
{% embed url="" %}
---
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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 .
### Model Evaluation Video Tutorial
{% embed url="