Document AI V1beta3 API - Class Google::Cloud::DocumentAI::V1beta3::TrainProcessorVersionRequest::FoundationModelTuningOptions (v0.43.1)

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.

#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.