Stop a Training Job in SageMaker Studio Classic - Amazon SageMaker AI

Stop a Training Job in SageMaker Studio Classic

Important

As of November 30, 2023, the previous Amazon SageMaker Studio experience is now named Amazon SageMaker Studio Classic. The following section is specific to using the Studio Classic application. For information about using the updated Studio experience, see Amazon SageMaker Studio.

You can stop a training job with the Amazon SageMaker Studio Classic UI. When you stop a training job, its status changes to Stopping at which time billing ceases. An algorithm can delay termination in order to save model artifacts after which the job status changes to Stopped. For more information, see the stop_training_job method in the AWS SDK for Python (Boto3).

To stop a training job

  1. Follow the View experiments and runs procedure on this page until you open the Describe Trial Component tab.

  2. At the upper-right side of the tab, choose Stop training job. The Status at the top left of the tab changes to Stopped.

  3. To view the training time and billing time, choose AWS Settings.