This product is not supported for your selected Datadog site. ().
このページは日本語には対応しておりません。随時翻訳に取り組んでいます。
翻訳に関してご質問やご意見ございましたら、お気軽にご連絡ください。

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.