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articles/cognitive-services/language-service/conversational-language-understanding/includes/quickstarts/language-studio.md

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@@ -99,15 +99,18 @@ When you're done, select **Save Changes** to save the utterances and labels to t
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## Train your model and view its details
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Select **train model** on the left of the screen. Select **Start a training job**. To train your model, you need to provide a name for the model. Write a name like "*v1*" and press the enter key.
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Select **train model** on the left of the screen. Select **Start a training job**. To train your model, you need to provide a name for the model. Write a name like "*v1*" and press the enter key.
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Turn off **Run evaluation with training** before selecting **Train**.
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> [!NOTE]
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> If you did not [add utterances to testing set](https://docs.microsoft.com/azure/cognitive-services/language-service/conversational-language-understanding/how-to/tag-utterances#tag-utterances), you will only be allowed to train using the **Automatically split the testing set from all data** option.
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You should see the **View model details** page. Wait until training completes, which may take about 5 minutes. When training succeeds, Select **Deploy Model** on the left of the screen.
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When the training job is complete, which may take some time, you should see the output model performance in the **View model details** page.
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## Deploy your model
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From the **Deploy model** page on the left of the screen, select the trained model and select the **Deploy model** button. In the screen that appears, select **Deploy**.
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From the **Deploy model** page on the left of the screen, select **Add deployment**.
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In the window that appears, give your deployment a **deploment name** and then assign your trained model to this deployment name and then select **Submit**.
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## Test your model
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