Bedrock Model Customization Job

Bedrock Model Customization Job in AWS allows you to create and manage fine-tuning jobs for foundation models in Amazon Bedrock. It provides details about the customization process, including job status, configuration, input data, and output location. This resource helps track and manage the lifecycle of model customization, enabling you to adapt foundation models to your specific domain or use case.

aws.bedrock_model_customization_job

Fields

TitleIDTypeData TypeDescription
_keycorestring
account_idcorestring
base_model_arncorestringAmazon Resource Name (ARN) of the base model.
client_request_tokencorestringThe token that you specified in the CreateCustomizationJob request.
creation_timecoretimestampTime that the resource was created.
customization_configcorejsonThe customization configuration for the model customization job.
customization_typecorestringThe type of model customization.
end_timecoretimestampTime that the resource transitioned to terminal state.
failure_messagecorestringInformation about why the job failed.
hyper_parameterscorehstoreThe hyperparameter values for the job. For details on the format for different models, see Custom model hyperparameters.
job_arncorestringThe Amazon Resource Name (ARN) of the customization job.
job_namecorestringThe name of the customization job.
last_modified_timecoretimestampTime that the resource was last modified.
output_data_configcorejsonOutput data configuration
output_model_arncorestringThe Amazon Resource Name (ARN) of the output model.
output_model_kms_key_arncorestringThe custom model is encrypted at rest using this key.
output_model_namecorestringThe name of the output model.
role_arncorestringThe Amazon Resource Name (ARN) of the IAM role.
statuscorestringThe 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_detailscorejsonFor a Distillation job, the details about the statuses of the sub-tasks of the customization job.
tagscorehstore
training_data_configcorejsonContains information about the training dataset.
training_metricscorejsonContains training metrics from the job creation.
validation_data_configcorejsonContains information about the validation dataset.
validation_metricscorejsonThe loss metric for each validator that you provided in the createjob request.
vpc_configcorejsonVPC configuration for the custom model job.