Class SupervisedHyperParameters (1.52.0)

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SupervisedHyperParameters(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Hyperparameters for SFT.

Attributes
Name	Description
epoch_count	int Optional. Number of complete passes the model makes over the entire training dataset during training.
learning_rate_multiplier	float Optional. Multiplier for adjusting the default learning rate.
adapter_size	google.cloud.aiplatform_v1.types.SupervisedHyperParameters.AdapterSize Optional. Adapter size for tuning.

Classes

AdapterSize

AdapterSize(value)

Supported adapter sizes for tuning.

Methods

SupervisedHyperParameters

SupervisedHyperParameters(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Hyperparameters for SFT.