Document AI V1beta3 API - Class Google::Cloud::DocumentAI::V1beta3::TrainProcessorVersionRequest::FoundationModelTuningOptions (v0.48.1)

Reference documentation and code samples for the Document AI V1beta3 API class Google::Cloud::DocumentAI::V1beta3::TrainProcessorVersionRequest::FoundationModelTuningOptions.

Options to control foundation model tuning of the processor.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#learning_rate_multiplier

def learning_rate_multiplier() -> ::Float
Returns
  • (::Float) — Optional. The multiplier to apply to the recommended learning rate. Valid values are between 0.1 and 10. If not provided, recommended learning rate will be used.

#learning_rate_multiplier=

def learning_rate_multiplier=(value) -> ::Float
Parameter
  • value (::Float) — Optional. The multiplier to apply to the recommended learning rate. Valid values are between 0.1 and 10. If not provided, recommended learning rate will be used.
Returns
  • (::Float) — Optional. The multiplier to apply to the recommended learning rate. Valid values are between 0.1 and 10. If not provided, recommended learning rate will be used.

#previous_fine_tuned_processor_version_name

def previous_fine_tuned_processor_version_name() -> ::String
Returns
  • (::String) — Optional. Resource name of a previously fine tuned version id to copy the overwritten configs from. The base_processor_version should be newer than the base processor version used to fine tune this provided processor version. Format: projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}.

#previous_fine_tuned_processor_version_name=

def previous_fine_tuned_processor_version_name=(value) -> ::String
Parameter
  • value (::String) — Optional. Resource name of a previously fine tuned version id to copy the overwritten configs from. The base_processor_version should be newer than the base processor version used to fine tune this provided processor version. Format: projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}.
Returns
  • (::String) — Optional. Resource name of a previously fine tuned version id to copy the overwritten configs from. The base_processor_version should be newer than the base processor version used to fine tune this provided processor version. Format: projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}.

#train_steps

def train_steps() -> ::Integer
Returns
  • (::Integer) — Optional. The number of steps to run for model tuning. Valid values are between 1 and 400. If not provided, recommended steps will be used.

#train_steps=

def train_steps=(value) -> ::Integer
Parameter
  • value (::Integer) — Optional. The number of steps to run for model tuning. Valid values are between 1 and 400. If not provided, recommended steps will be used.
Returns
  • (::Integer) — Optional. The number of steps to run for model tuning. Valid values are between 1 and 400. If not provided, recommended steps will be used.