Class: Aws::SageMaker::Types::ServerlessJobConfig

Inherits:

Struct

• Object
• Struct
• Aws::SageMaker::Types::ServerlessJobConfig

Includes:

Aws::Structure

Defined in:

lib/aws-sdk-sagemaker/types.rb

Overview

The configuration for the serverless training job.

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #accept_eula ⇒ Boolean

  Specifies agreement to the model end-user license agreement (EULA).

• #base_model_arn ⇒ String

  The base model Amazon Resource Name (ARN) in [SageMaker Public Hub][1].

• #customization_technique ⇒ String

  The model customization technique.

• #evaluation_type ⇒ String

  The evaluation job type.

• #evaluator_arn ⇒ String

  The evaluator Amazon Resource Name (ARN) used as reward function or reward prompt.

• #job_type ⇒ String

  The serverless training job type.

• #peft ⇒ String

  The parameter-efficient fine-tuning configuration.

• #sequence_length ⇒ String

  The maximum sequence length, in tokens, that the customization job supports.

Instance Attribute Details

#accept_eula ⇒ Boolean

Specifies agreement to the model end-user license agreement (EULA). The AcceptEula value must be explicitly defined as True in order to accept the EULA that this model requires. You are responsible for reviewing and complying with any applicable license terms and making sure they are acceptable for your use case before downloading or using a model. For more information, see End-user license agreements section for more details on accepting the EULA.

Returns:

• (Boolean)

# File 'lib/aws-sdk-sagemaker/types.rb', line 51137

class ServerlessJobConfig < Struct.new(
  :base_model_arn,
  :accept_eula,
  :job_type,
  :customization_technique,
  :peft,
  :evaluation_type,
  :evaluator_arn,
  :sequence_length)
  SENSITIVE = []
  include Aws::Structure
end

#base_model_arn ⇒ String

The base model Amazon Resource Name (ARN) in SageMaker Public Hub. SageMaker always selects the latest version of the provided model.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 51137

class ServerlessJobConfig < Struct.new(
  :base_model_arn,
  :accept_eula,
  :job_type,
  :customization_technique,
  :peft,
  :evaluation_type,
  :evaluator_arn,
  :sequence_length)
  SENSITIVE = []
  include Aws::Structure
end

#customization_technique ⇒ String

The model customization technique.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 51137

class ServerlessJobConfig < Struct.new(
  :base_model_arn,
  :accept_eula,
  :job_type,
  :customization_technique,
  :peft,
  :evaluation_type,
  :evaluator_arn,
  :sequence_length)
  SENSITIVE = []
  include Aws::Structure
end

#evaluation_type ⇒ String

The evaluation job type. Required when serverless job type is Evaluation.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 51137

class ServerlessJobConfig < Struct.new(
  :base_model_arn,
  :accept_eula,
  :job_type,
  :customization_technique,
  :peft,
  :evaluation_type,
  :evaluator_arn,
  :sequence_length)
  SENSITIVE = []
  include Aws::Structure
end

#evaluator_arn ⇒ String

The evaluator Amazon Resource Name (ARN) used as reward function or reward prompt.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 51137

class ServerlessJobConfig < Struct.new(
  :base_model_arn,
  :accept_eula,
  :job_type,
  :customization_technique,
  :peft,
  :evaluation_type,
  :evaluator_arn,
  :sequence_length)
  SENSITIVE = []
  include Aws::Structure
end

#job_type ⇒ String

The serverless training job type.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 51137

class ServerlessJobConfig < Struct.new(
  :base_model_arn,
  :accept_eula,
  :job_type,
  :customization_technique,
  :peft,
  :evaluation_type,
  :evaluator_arn,
  :sequence_length)
  SENSITIVE = []
  include Aws::Structure
end

#peft ⇒ String

The parameter-efficient fine-tuning configuration.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 51137

class ServerlessJobConfig < Struct.new(
  :base_model_arn,
  :accept_eula,
  :job_type,
  :customization_technique,
  :peft,
  :evaluation_type,
  :evaluator_arn,
  :sequence_length)
  SENSITIVE = []
  include Aws::Structure
end

#sequence_length ⇒ String

The maximum sequence length, in tokens, that the customization job supports. SageMaker uses this value to select a training configuration for the base model that you specify. The parameter supports the following values:

• 1K

• 2K

• 4K

• 8K

• 16K

• 32K

• 64K

• 128K

If you don't specify a value, SageMaker selects a training configuration based on the other values that you specify. The selection is not restricted to a particular sequence length.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 51137

class ServerlessJobConfig < Struct.new(
  :base_model_arn,
  :accept_eula,
  :job_type,
  :customization_technique,
  :peft,
  :evaluation_type,
  :evaluator_arn,
  :sequence_length)
  SENSITIVE = []
  include Aws::Structure
end