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@@ -77,17 +77,17 @@ logging metrics, model files, plots, debug samples, and more, so you can gain mo
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```
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clearml_config{
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project: "TAO Toolkit ClearML Demo"
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task: "detectnet_v2_resnet18_clearml"
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tags: "detectnet_v2"
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tags: "training"
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tags: "resnet18"
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tags: "unpruned"
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task: "detectnet_v2_resnet18_clearml"
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tags: "detectnet_v2"
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tags: "training"
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tags: "resnet18"
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tags: "unpruned"
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}
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```
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This configuration may vary depending on the schema the network follows. For more information, see the [NVIDIA documentation](https://docs.nvidia.com/tao/tao-toolkit/text/mlops/clearml.html#configuring-the-clearml-element-in-the-training-spec).
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And that's it! Whenever you train a model using TAO toolkit, a [ClearML Task](../fundamentals/task.md) will be created,
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And that's it! Whenever you train a model using TAO Toolkit, a [ClearML Task](../fundamentals/task.md) will be created,
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which will capture your model files, training configuration, scalars, debug samples, plots, console output, and more.
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You can view all of this captured information in the [ClearML Web UI](../webapp/webapp_exp_track_visual.md).
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