create fine-tune refresh in foundry portal

Author: eric-urban

articles/ai-services/speech-service/custom-speech-overview.md

@@ -29,7 +29,7 @@ With custom speech, you can upload your own data, test and train a custom model,
 
 Here's more information about the sequence of steps shown in the previous diagram:
 
-1. [Create a project](how-to-custom-speech-create-project.md) and choose a model. Use a <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesAIServices" title="Create an AI Services resource for Speech" target="_blank">Speech resource</a> that you create in the Azure portal. If you train a custom model with audio data, choose an AI Services resource for Speech region with dedicated hardware for training audio data. For more information, see footnotes in the [regions](regions.md#regions) table.
+1. [Create a project](how-to-custom-speech-create-project.md) and choose a model. Use a <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesAIServices" title="Create an AI Services resource for Speech" target="_blank">Speech resource</a> that you create in the Azure portal. If you train a custom model with audio data, select a service resource in a region with dedicated hardware for training audio data. For more information, see footnotes in the [regions](regions.md#regions) table.
 
 1. [Upload test data](./how-to-custom-speech-upload-data.md). Upload test data to evaluate the speech to text offering for your applications, tools, and products.
 

articles/ai-services/speech-service/how-to-custom-speech-create-project.md

@@ -78,7 +78,7 @@ To create a custom speech project in [Speech Studio](https://aka.ms/speechstudio
 1. Select the subscription and Speech resource to work with. 
 
     > [!IMPORTANT]
-    > If you'll train a custom model with audio data, select a service resource in a region with dedicated hardware for training audio data. See footnotes in the [regions](regions.md#regions) table for more information.
+    > If you train a custom model with audio data, select a service resource in a region with dedicated hardware for training audio data. See footnotes in the [regions](regions.md#regions) table for more information.
 
 1. Select **Custom speech** > **Create a new project**. 
 1. Follow the instructions provided by the wizard to create your project. 

articles/ai-services/speech-service/how-to-custom-speech-test-and-train.md

@@ -44,7 +44,7 @@ Training with plain text or structured text usually finishes within a few minute
 > 
 > Start with small sets of sample data that match the language, acoustics, and hardware where your model will be used. Small datasets of representative data can expose problems before you invest in gathering larger datasets for training. For sample custom speech data, see <a href="https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/sampledata/customspeech" target="_target">this GitHub repository</a>.
 
-If you train a custom model with audio data, choose an AI Services resource for Speech region with dedicated hardware for training audio data. For more information, see footnotes in the [regions](regions.md#regions) table. In regions with dedicated hardware for custom speech training, the Speech service uses up to 100 hours of your audio training data, and can process about 10 hours of data per day. After the model is trained, you can copy the model to another region as needed with the [Models_CopyTo](/rest/api/speechtotext/models/copy-to) REST API.
+If you train a custom model with audio data, select a service resource in a region with dedicated hardware for training audio data. For more information, see footnotes in the [regions](regions.md#regions) table. In regions with dedicated hardware for custom speech training, the Speech service uses up to 100 hours of your audio training data, and can process about 10 hours of data per day. After the model is trained, you can copy the model to another region as needed with the [Models_CopyTo](/rest/api/speechtotext/models/copy-to) REST API.
 
 ## Consider datasets by scenario
 

articles/ai-services/speech-service/how-to-custom-speech-train-model.md

@@ -24,15 +24,14 @@ Training a model is typically an iterative process. You first select a base mode
 You can use a custom model for a limited time after it was trained. You must periodically recreate and adapt your custom model from the latest base model to take advantage of the improved accuracy and quality. For more information, see [Model and endpoint lifecycle](./how-to-custom-speech-model-and-endpoint-lifecycle.md).
 
 > [!IMPORTANT]
-> If you will train a custom model with audio data, choose an AI Services resource for Speech region with dedicated hardware for training audio data. After a model is trained, you can [copy it to an AI Services resource for Speech](#copy-a-model) in another region as needed. 
+> If you train a custom model with audio data, select a service resource in a region with dedicated hardware for training audio data. After a model is trained, you can [copy it to an AI Services resource for Speech](#copy-a-model) in another region as needed. 
 > 
 > In regions with dedicated hardware for custom speech training, the Speech service will use up to 100 hours of your audio training data, and can process about 10 hours of data per day. See footnotes in the [regions](regions.md#regions) table for more information.  
 
 ## Create a model
 
 ::: zone pivot="ai-foundry-portal"
 
-
 1. After the data is processed, select **Train model** from the left menu. Then select **+ Train model**.
 
     :::image type="content" source="./media/ai-foundry/custom-speech/new-fine-tune-train-model.png" alt-text="Screenshot of the page with an option to start training for a custom speech model." lightbox="./media/ai-foundry/custom-speech/new-fine-tune-train-model.png":::