update

Author: mrbullwinkle

articles/ai-services/openai/tutorials/fine-tune.md

@@ -37,9 +37,8 @@ In this tutorial you learn how to:
 - Fine-tuning access requires **Cognitive Services OpenAI Contributor**.
 - If you do not already have access to view quota, and deploy models in Azure OpenAI Studio you will require [additional permissions](../how-to/role-based-access-control.md).
 
-
 > [!IMPORTANT]
-> We strongly recommend reviewing the [pricing information](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/#pricing) for fine-tuning prior to beginning this tutorial to make sure you are comfortable with the associated costs. In testing, this tutorial resulted in one training hour billed, in addition to the costs that are associated with fine-tuning inference, and the hourly hosting costs of having a fine-tuned model deployed. Once you have completed the tutorial, you should delete your fine-tuned model deployment otherwise you will continue to incur the hourly hosting cost.
+> We recommend reviewing the [pricing information](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/#pricing) for fine-tuning to familiarize yourself with the associated costs. In testing, this tutorial resulted in 48,000 tokens being billed (4,800 training tokens * 10 epochs of training). Training costs are in addition to the costs that are associated with fine-tuning inference, and the hourly hosting costs of having a fine-tuned model deployed. Once you have completed the tutorial, you should delete your fine-tuned model deployment otherwise you will continue to incur the hourly hosting cost.
 
 ## Set up