aws.bedrock.get_model_customization_job
Example SQL Queries
SELECT * FROMaws.bedrock.get_model_customization_jobWHERE"job_identifier" = 'VALUE';Description
Retrieves the properties associated with a model-customization job, including the status of the job. For more information, see Custom models in the Amazon Bedrock User Guide.
Table Definition
| Column Name | Column Data Type |
|---|---|
| job_identifier Required Input Column Identifier for the customization job. | VARCHAR |
| _aws_profile Input Column The AWS profile defines the AWS identity used. It can be defined via credentials or by assuming a IAM role. | STRUCT( |
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| _aws_region Input Column The AWS region to use. | VARCHAR |
| base_model_arn Amazon Resource Name (ARN) of the base model. | VARCHAR |
| client_request_token The token that you specified in the CreateCustomizationJob request. | VARCHAR |
| creation_time Time that the resource was created. | TIMESTAMP_S |
| customization_type The type of model customization. | VARCHAR |
| end_time Time that the resource transitioned to terminal state. | TIMESTAMP_S |
| failure_message Information about why the job failed. | VARCHAR |
| hyper_parameters The hyperparameter values for the job. For details on the format for different models, see Custom model hyperparameters. | MAP(VARCHAR, VARCHAR) |
| job_arn The Amazon Resource Name (ARN) of the customization job. | VARCHAR |
| job_name The name of the customization job. | VARCHAR |
| last_modified_time Time that the resource was last modified. | TIMESTAMP_S |
| output_data_config Output data configuration | STRUCT( |
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| output_model_arn The Amazon Resource Name (ARN) of the output model. | VARCHAR |
| output_model_kms_key_arn The custom model is encrypted at rest using this key. | VARCHAR |
| output_model_name The name of the output model. | VARCHAR |
| role_arn The Amazon Resource Name (ARN) of the IAM role. | VARCHAR |
| status 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. | VARCHAR |
| training_data_config Contains information about the training dataset. | STRUCT( |
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| training_metrics Contains training metrics from the job creation. | STRUCT( |
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| validation_data_config Contains information about the validation dataset. | STRUCT( |
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| validation_metrics The loss metric for each validator that you provided in the createjob request. | STRUCT( |
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| vpc_config VPC configuration for the custom model job. | STRUCT( |
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