Metrics term change

Author: PatrickFarley

articles/ai-services/openai/how-to/risks-safety-monitor.md

@@ -20,7 +20,7 @@ When you use an Azure OpenAI model deployment with a content filter, you might w
 
 To access Risks & Safety monitoring, you need an Azure OpenAI resource in one of the supported Azure regions: East US, Switzerland North, France Central, Sweden Central, Canada East. You also need a model deployment that uses a content filter configuration.
 
-Go to [Azure AI Foundry](https://ai.azure.com/) and sign in with the credentials associated with your Azure OpenAI resource. Select a project. Then select the **Models + endpoints** tab on the left and then select your model deployment from the list. On the deployment's page, select the **Metrics** tab at the top. Then select **Open in Azure Monitor** to view the full report in the Azure portal.
+Go to [Azure AI Foundry](https://ai.azure.com/) and sign in with the credentials associated with your Azure OpenAI resource. Select a project. Then select the **Models + endpoints** tab on the left and then select your model deployment from the list. On the deployment's page, select the **Monitoring** tab at the top. Then select **Open in Azure Monitor** to view the full report in the Azure portal.
 
 ## Configure metrics   
 

articles/ai-services/openai/includes/fine-tuning-openai-in-ai-studio.md

@@ -200,7 +200,7 @@ The result file is a CSV file that contains a header row and a row for each trai
 | `full_valid_loss` | The validation loss calculated at the end of each epoch. When training goes well, loss should decrease. |
 |`full_valid_mean_token_accuracy` | The valid mean token accuracy calculated at the end of each epoch. When training is going well, token accuracy should increase. |
 
-You can also view the data in your results.csv file as plots in Azure AI Foundry portal under the **Metrics** tab of your fine-tuned model. Select the link for your trained model, and you will see two charts: loss, and token accuracy. If you provided validation data, both datasets will appear on the same plot.
+You can also view the data in your results.csv file as plots in Azure AI Foundry portal under the **Monitoring** tab of your fine-tuned model. Select the link for your trained model, and you will see two charts: loss, and token accuracy. If you provided validation data, both datasets will appear on the same plot.
 
 :::image type="content" source="../media/fine-tuning/metrics.png" alt-text="Screenshot of metrics UI." lightbox="../media/fine-tuning/metrics.png":::