Help Center/ ModelArts/ Model Training/ Managing Model Training Jobs/ Copying, Stopping, or Deleting a Training Job
Updated on 2026-05-30 GMT+08:00

Copying, Stopping, or Deleting a Training Job

Saving As an Algorithm

  1. Log in to the ModelArts console.
  2. In the navigation pane, choose Model Training > Training Jobs (new console: Training). Click the target training job to go to the training job details page.
  3. To modify the algorithm of a training job, click Save As Algorithm in the upper right corner of the training job details page. On the Algorithms page, the algorithm parameters for the last training job are automatically set. You can modify the settings.
    1. A subscribed algorithm cannot be saved as a new algorithm.

Copying a Training Job

  1. Log in to the ModelArts console.
  2. In the navigation pane, choose Model Training > Training Jobs (new console: Training).
  3. If you are not satisfied with a created training job, click Copy (or Clone) in the Operation column to re-create a training job. The page for re-creating a training job is displayed. On this page, the parameter settings for the previous training job are automatically retained. You only need to modify target parameter settings.

Stopping a Training Job

  1. Log in to the ModelArts console.
  2. In the navigation pane, choose Model Training > Training Jobs (new console: Training).
  3. In the training job list, click Stop in the Operation column of a training job that is in creating, pending, or running state. Enter YES in the dialog box and confirm the operation. After a training job is stopped, its billing stops on ModelArts.

A training job in completed, failed, terminated, or abnormal state cannot be stopped.

Deleting a Training Job

Release resources of a training job when not in use to avoid unnecessary charges.

Deleted training jobs cannot be restored.

  • On the Training Jobs (Model Training in the new version) page, delete the training job that has finished running. Click Delete in the Operation column. In the displayed dialog box, enter DELETE, and click OK to confirm the deletion.
  • Go to OBS and delete the OBS bucket and files used by the training job.