Bedrock Custom Model

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Bedrock Custom Model in AWS allows you to manage and retrieve details about custom foundation models that you have created or fine-tuned using Amazon Bedrock. It provides information such as model name, version, status, and configuration, enabling you to track and use your tailored models for generative AI applications.

aws.bedrock_custom_model

Fields

ID	Type	Data Type	Description
_key	core	string
account_id	core	string
base_model_arn	core	string	Amazon Resource Name (ARN) of the base model.
creation_time	core	timestamp	Creation time of the model.
customization_config	core	json	The customization configuration for the custom model.
customization_type	core	string	The type of model customization.
failure_message	core	string	A failure message for any issues that occurred when creating the custom model. This is included for only a failed CreateCustomModel operation.
hyper_parameters	core	hstore	Hyperparameter values associated with this model. For details on the format for different models, see Custom model hyperparameters.
job_arn	core	string	Job Amazon Resource Name (ARN) associated with this model. For models that you create with the CreateCustomModel API operation, this is NULL.
job_name	core	string	Job name associated with this model.
model_arn	core	string	Amazon Resource Name (ARN) associated with this model.
model_kms_key_arn	core	string	The custom model is encrypted at rest using this key.
model_name	core	string	Model name associated with this model.
model_status	core	string	The current status of the custom model. Possible values include: Creating - The model is being created and validated. Active - The model has been successfully created and is ready for use. Failed - The model creation process failed. Check the failureMessage field for details.
output_data_config	core	json	Output data configuration associated with this custom model.
tags	core	hstore
training_data_config	core	json	Contains information about the training dataset.
training_metrics	core	json	Contains training metrics from the job creation.
validation_data_config	core	json	Contains information about the validation dataset.
validation_metrics	core	json	The validation metrics from the job creation.