Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::SupervisedHyperParameters (v0.42.0)

Version 0.42.0

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Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::SupervisedHyperParameters.

Hyperparameters for SFT.

Inherits

• Object

Extended By

• Google::Protobuf::MessageExts::ClassMethods

Includes

• Google::Protobuf::MessageExts

Methods

#adapter_size

def adapter_size() -> ::Google::Cloud::AIPlatform::V1::SupervisedHyperParameters::AdapterSize

Returns

• (::Google::Cloud::AIPlatform::V1::SupervisedHyperParameters::AdapterSize) — Optional. Adapter size for tuning.

#adapter_size=

def adapter_size=(value) -> ::Google::Cloud::AIPlatform::V1::SupervisedHyperParameters::AdapterSize

Parameter

• value (::Google::Cloud::AIPlatform::V1::SupervisedHyperParameters::AdapterSize) — Optional. Adapter size for tuning.

Returns

• (::Google::Cloud::AIPlatform::V1::SupervisedHyperParameters::AdapterSize) — Optional. Adapter size for tuning.

#epoch_count

def epoch_count() -> ::Integer

Returns

• (::Integer) — Optional. Number of complete passes the model makes over the entire training dataset during training.

#epoch_count=

def epoch_count=(value) -> ::Integer

Parameter

• value (::Integer) — Optional. Number of complete passes the model makes over the entire training dataset during training.

Returns

• (::Integer) — Optional. Number of complete passes the model makes over the entire training dataset during training.

#learning_rate_multiplier

def learning_rate_multiplier() -> ::Float

Returns

• (::Float) — Optional. Multiplier for adjusting the default learning rate.

#learning_rate_multiplier=

def learning_rate_multiplier=(value) -> ::Float

Parameter

• value (::Float) — Optional. Multiplier for adjusting the default learning rate.

Returns

• (::Float) — Optional. Multiplier for adjusting the default learning rate.