Merge pull request #7745 from NandiniMurali/patch-12

Update FT page with checkpoint note

Author: prmerger-automator[bot]

articles/ai-foundry/openai/includes/fine-tuning-studio.md

@@ -216,6 +216,9 @@ Your job might be queued behind other jobs on the system. Training your model ca
 
 When each training epoch completes a checkpoint is generated. A checkpoint is a fully functional version of a model which can both be deployed and used as the target model for subsequent fine-tuning jobs. Checkpoints can be particularly useful, as they may provide snapshots prior to overfitting. When a fine-tuning job completes you will have the three most recent versions of the model available to deploy.
 
+> [!NOTE]
+> When copying a checkpoint from a source account, the same checkpoint name is retained in the destination account. Ensure you use this exact name for fine-tuning, deployment, or any other operation in the destination account. This checkpoint will not appear in the UI or in the `list checkpoints` API.
+
 ## Pause and resume
 
 You can track progress in both fine-tuning views of the AI Foundry portal. You'll see your job go through the same statuses as normal fine tuning jobs (queued, running, succeeded).