TrainingJobSummary

A timestamp that shows when the training job was created.

Type: Timestamp

Required: Yes

The Amazon Resource Name (ARN) of the training job.

Type: String

Length Constraints: Maximum length of 256.

Pattern: arn:aws[a-z\-]*:sagemaker:[a-z0-9\-]*:[0-9]{12}:training-job/.*

Required: Yes

The name of the training job that you want a summary for.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 63.

Pattern: ^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}

Required: Yes

The status of the training job.

Type: String

Valid Values: InProgress | Completed | Failed | Stopping | Stopped

Required: Yes

Timestamp when the training job was last modified.

Type: Timestamp

Required: No

The secondary status of the training job.

Type: String

Valid Values: Starting | LaunchingMLInstances | PreparingTrainingStack | Downloading | DownloadingTrainingImage | Training | Uploading | Stopping | Stopped | MaxRuntimeExceeded | Completed | Failed | Interrupted | MaxWaitTimeExceeded | Updating | Restarting | Pending

Required: No

A timestamp that shows when the training job ended. This field is set only if the training job has one of the terminal statuses (Completed, Failed, or Stopped).

Type: Timestamp

Required: No

The Amazon Resource Name (ARN); of the training plan associated with this training job.

For more information about how to reserve GPU capacity for your SageMaker HyperPod clusters using Amazon SageMaker Training Plan, see CreateTrainingPlan .

Type: String

Length Constraints: Minimum length of 50. Maximum length of 2048.

Pattern: arn:aws[a-z\-]*:sagemaker:[a-z0-9\-]*:[0-9]{12}:training-plan/.*

Required: No

The status of the warm pool associated with the training job.

Type: WarmPoolStatus object

Required: No