Class SupervisedHyperParameters (1.104.0)

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. Mutually exclusive with learning_rate.
learning_rate float
Optional. Learning rate for tuning. Mutually exclusive with learning_rate_multiplier. This feature is only available for open source models.
adapter_size google.cloud.aiplatform_v1beta1.types.SupervisedHyperParameters.AdapterSize
Optional. Adapter size for tuning.
batch_size int
Optional. Batch size for tuning. This feature is only available for open source models.

Classes

AdapterSize

AdapterSize(value)

Supported adapter sizes for tuning.

Methods

SupervisedHyperParameters

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

Hyperparameters for SFT.