Update training job details (Studio)

To update (and view) details related to the training job:

1. On the Train tab, view the status of the training job. The status is Complete if you added a training job to your model package and Undefined if not.

2. To view details related to your training job such as performance, hyperparameters, and identifying details, choose the Train tab.

3. To update and view details related to model performance, complete the following steps.

   1. Choose Performance in the left sidebar of the Train tab.

   2. View Metrics related to your training job. The Performance page lists metrics by name, value, and any notes you added related to the metric.

   3. (Optional) To add notes to existing metrics, complete the following steps.

      1. Choose the vertical ellipsis in the top right corner of the model version page, and choose Edit.

      2. Add notes to any of the listed metrics.

      3. At the top of the model version page, choose Save in the Editing Model Version... banner.

   4. View Custom Metrics related to your training job. Custom metrics are formatted similarly to metrics.

   5. (Optional) To add custom metrics, complete the following steps.

      1. Choose Add.

      2. Insert a name, value, and any optional notes for your new metric.

   6. (Optional) To remove custom metrics, choose the Trash icon next to the metric you want to remove.

   7. In the Observations text box, view any notes you added related to the performance of your training job.

   8. (Optional) To add or update observations, complete the following steps.

      1. Choose the vertical ellipsis in the top right corner of the model version page, and choose Edit.

      2. Add or update your notes in the Observations text box.

      3. At the top of the model version page, choose Save in the Editing Model Version... banner.

4. To update and view details related to model artifacts, complete the following steps.

   1. Choose Artifacts in the left sidebar of the Train tab.

   2. In the Location (S3 URI) field, view the Amazon S3 location of your training datasets.

   3. In the Models field, view the name and Amazon S3 locations of model artifacts from other models that you included in the training job.

   4. To update any of the fields in the Artifacts page, complete the following steps.

      1. Choose the vertical ellipsis in the top right of the model version page, and choose Edit.

      2. Enter new values in any of the fields.

      3. At the top of the model version page, choose Save in the Editing Model Version... banner.

5. To update and view details related to hyperparameters, complete the following steps.

   1. Choose Hyperparameters in the left sidebar of the Train tab.

   2. View the SageMaker AI provided and custom hyperparameters defined. Each hyperparameter is listed with its name and value.

   3. View the custom hyperparameters you added.

   4. (Optional) To add an additional custom hyperparameter, complete the following steps.

      1. Above the top right corner of the Custom Hyperparameters table, choose Add. A pair of new blank fields appears.

      2. Enter the name and value of the new custom hyperparameter. These values are automatically saved.

   5. (Optional) To remove a custom hyperparameter, choose the Trash icon to the right of the hyperparameter.

6. To update and view details related to the training job environment, complete the following steps.

   1. Choose Environment in the left sidebar of the Train tab.

   2. View the Amazon ECR URI locations for any training job containers added by SageMaker AI (for a SageMaker training job) or by you (for a custom training job).

   3. (Optional) To add an additional training job container, choose Add, and then enter the URI of the new training container.

7. To update and view the training job name and the Amazon Resource Names (ARN) for the training job, complete the following steps.

   1. Choose Details in the left sidebar of the Train tab.

   2. View the training job name and ARN of the training job.