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aws_bedrock_custom_model
account_id
Type: STRING
base_model_arn
Type: STRING
Provider name: baseModelArn
Description: Amazon Resource Name (ARN) of the base model.
creation_time
Type: TIMESTAMP
Provider name: creationTime
Description: Creation time of the model.
customization_config
Type: STRUCT
Provider name: customizationConfig
Description: The customization configuration for the custom model.
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.
hyper_parameters
Type: MAP_STRING_STRING
Provider name: hyperParameters
Description: Hyperparameter values associated with this model. For details on the format for different models, see Custom model hyperparameters.
job_arn
Type: STRING
Provider name: jobArn
Description: Job Amazon Resource Name (ARN) associated with this model.
job_name
Type: STRING
Provider name: jobName
Description: Job name associated with this model.
model_arn
Type: STRING
Provider name: modelArn
Description: Amazon Resource Name (ARN) associated with this model.
model_kms_key_arn
Type: STRING
Provider name: modelKmsKeyArn
Description: The custom model is encrypted at rest using this key.
model_name
Type: STRING
Provider name: modelName
Description: Model name associated with this model.
output_data_config
Type: STRUCT
Provider name: outputDataConfig
Description: Output data configuration associated with this custom model.
s3_uri
Type: STRING
Provider name: s3Uri
Description: The S3 URI where the output data is stored.
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 validation metrics from the job creation.
validation_loss
Type: FLOAT
Provider name: validationLoss
Description: The validation loss associated with this validator.