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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. 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.