This product is not supported for your selected Datadog site. ().
This page is not yet available in Spanish. We are working on its translation.
If you have any questions or feedback about our current translation project, feel free to reach out to us!

aws_bedrock_model_customization_job

account_id

Type: STRING

base_model_arn

Type: STRING
Provider name: baseModelArn
Description: Amazon Resource Name (ARN) of the base model.

client_request_token

Type: STRING
Provider name: clientRequestToken
Description: The token that you specified in the CreateCustomizationJob request.

creation_time

Type: TIMESTAMP
Provider name: creationTime
Description: Time that the resource was created.

customization_config

Type: STRUCT
Provider name: customizationConfig
Description: The customization configuration for the model customization job.

  • distillation_config
    Type: STRUCT
    Provider name: distillationConfig
    Description: The Distillation configuration for the custom model.
    • teacher_model_config
      Type: STRUCT
      Provider name: teacherModelConfig
      Description: The teacher model configuration.
      • max_response_length_for_inference
        Type: INT32
        Provider name: maxResponseLengthForInference
        Description: The maximum number of tokens requested when the customization job invokes the teacher model.
      • teacher_model_identifier
        Type: STRING
        Provider name: teacherModelIdentifier
        Description: The identifier of the teacher model.

customization_type

Type: STRING
Provider name: customizationType
Description: The type of model customization.

end_time

Type: TIMESTAMP
Provider name: endTime
Description: Time that the resource transitioned to terminal state.

failure_message

Type: STRING
Provider name: failureMessage
Description: Information about why the job failed.

hyper_parameters

Type: MAP_STRING_STRING
Provider name: hyperParameters
Description: The hyperparameter values for the job. For details on the format for different models, see Custom model hyperparameters.

job_arn

Type: STRING
Provider name: jobArn
Description: The Amazon Resource Name (ARN) of the customization job.

job_name

Type: STRING
Provider name: jobName
Description: The name of the customization job.

last_modified_time

Type: TIMESTAMP
Provider name: lastModifiedTime
Description: Time that the resource was last modified.

output_data_config

Type: STRUCT
Provider name: outputDataConfig
Description: Output data configuration

  • s3_uri
    Type: STRING
    Provider name: s3Uri
    Description: The S3 URI where the output data is stored.

output_model_arn

Type: STRING
Provider name: outputModelArn
Description: The Amazon Resource Name (ARN) of the output model.

output_model_kms_key_arn

Type: STRING
Provider name: outputModelKmsKeyArn
Description: The custom model is encrypted at rest using this key.

output_model_name

Type: STRING
Provider name: outputModelName
Description: The name of the output model.

role_arn

Type: STRING
Provider name: roleArn
Description: The Amazon Resource Name (ARN) of the IAM role.

status

Type: STRING
Provider name: status
Description: The status of the job. A successful job transitions from in-progress to completed when the output model is ready to use. If the job failed, the failure message contains information about why the job failed.

status_details

Type: STRUCT
Provider name: statusDetails
Description: For a Distillation job, the details about the statuses of the sub-tasks of the customization job.

  • data_processing_details
    Type: STRUCT
    Provider name: dataProcessingDetails
    Description: The status details for the data processing sub-task of the job.
    • creation_time
      Type: TIMESTAMP
      Provider name: creationTime
      Description: The start time of the data processing sub-task of the job.
    • last_modified_time
      Type: TIMESTAMP
      Provider name: lastModifiedTime
      Description: The latest update to the data processing sub-task of the job.
    • status
      Type: STRING
      Provider name: status
      Description: The status of the data processing sub-task of the job.
  • training_details
    Type: STRUCT
    Provider name: trainingDetails
    Description: The status details for the training sub-task of the job.
    • creation_time
      Type: TIMESTAMP
      Provider name: creationTime
      Description: The start time of the training sub-task of the job.
    • last_modified_time
      Type: TIMESTAMP
      Provider name: lastModifiedTime
      Description: The latest update to the training sub-task of the job.
    • status
      Type: STRING
      Provider name: status
      Description: The status of the training sub-task of the job.
  • validation_details
    Type: STRUCT
    Provider name: validationDetails
    Description: The status details for the validation sub-task of the job.
    • creation_time
      Type: TIMESTAMP
      Provider name: creationTime
      Description: The start time of the validation sub-task of the job.
    • last_modified_time
      Type: TIMESTAMP
      Provider name: lastModifiedTime
      Description: The latest update to the validation sub-task of the job.
    • status
      Type: STRING
      Provider name: status
      Description: The status of the validation sub-task of the job.

tags

Type: UNORDERED_LIST_STRING

training_data_config

Type: STRUCT
Provider name: trainingDataConfig
Description: Contains information about the training dataset.

  • invocation_logs_config
    Type: STRUCT
    Provider name: invocationLogsConfig
    Description: Settings for using invocation logs to customize a model.
    • invocation_log_source
      Type: STRUCT
      Provider name: invocationLogSource
      Description: The source of the invocation logs.
      • s3_uri
        Type: STRING
        Provider name: s3Uri
        Description: The URI of an invocation log in a bucket.
    • request_metadata_filters
      Type: STRUCT
      Provider name: requestMetadataFilters
      Description: Rules for filtering invocation logs based on request metadata.
      • and_all
        Type: UNORDERED_LIST_STRUCT
        Provider name: andAll
        Description: Include results where all of the based filters match.
        • equals
          Type: MAP_STRING_STRING
          Provider name: equals
          Description: Include results where the key equals the value.
        • not_equals
          Type: MAP_STRING_STRING
          Provider name: notEquals
          Description: Include results where the key does not equal the value.
      • equals
        Type: MAP_STRING_STRING
        Provider name: equals
        Description: Include results where the key equals the value.
      • not_equals
        Type: MAP_STRING_STRING
        Provider name: notEquals
        Description: Include results where the key does not equal the value.
      • or_all
        Type: UNORDERED_LIST_STRUCT
        Provider name: orAll
        Description: Include results where any of the base filters match.
        • equals
          Type: MAP_STRING_STRING
          Provider name: equals
          Description: Include results where the key equals the value.
        • not_equals
          Type: MAP_STRING_STRING
          Provider name: notEquals
          Description: Include results where the key does not equal the value.
    • use_prompt_response
      Type: BOOLEAN
      Provider name: usePromptResponse
      Description: Whether to use the model’s response for training, or just the prompt. The default value is False.
  • s3_uri
    Type: STRING
    Provider name: s3Uri
    Description: The S3 URI where the training data is stored.

training_metrics

Type: STRUCT
Provider name: trainingMetrics
Description: Contains training metrics from the job creation.

  • training_loss
    Type: FLOAT
    Provider name: trainingLoss
    Description: Loss metric associated with the custom job.

validation_data_config

Type: STRUCT
Provider name: validationDataConfig
Description: Contains information about the validation dataset.

  • validators
    Type: UNORDERED_LIST_STRUCT
    Provider name: validators
    Description: Information about the validators.
    • s3_uri
      Type: STRING
      Provider name: s3Uri
      Description: The S3 URI where the validation data is stored.

validation_metrics

Type: UNORDERED_LIST_STRUCT
Provider name: validationMetrics
Description: The loss metric for each validator that you provided in the createjob request.

  • validation_loss
    Type: FLOAT
    Provider name: validationLoss
    Description: The validation loss associated with this validator.

vpc_config

Type: STRUCT
Provider name: vpcConfig
Description: VPC configuration for the custom model job.

  • security_group_ids
    Type: UNORDERED_LIST_STRING
    Provider name: securityGroupIds
    Description: An array of IDs for each security group in the VPC to use.
  • subnet_ids
    Type: UNORDERED_LIST_STRING
    Provider name: subnetIds
    Description: An array of IDs for each subnet in the VPC to use.