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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_v1beta1.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.