- 1.102.0 (latest)
- 1.101.0
- 1.100.0
- 1.99.0
- 1.98.0
- 1.97.0
- 1.96.0
- 1.95.1
- 1.94.0
- 1.93.1
- 1.92.0
- 1.91.0
- 1.90.0
- 1.89.0
- 1.88.0
- 1.87.0
- 1.86.0
- 1.85.0
- 1.84.0
- 1.83.0
- 1.82.0
- 1.81.0
- 1.80.0
- 1.79.0
- 1.78.0
- 1.77.0
- 1.76.0
- 1.75.0
- 1.74.0
- 1.73.0
- 1.72.0
- 1.71.1
- 1.70.0
- 1.69.0
- 1.68.0
- 1.67.1
- 1.66.0
- 1.65.0
- 1.63.0
- 1.62.0
- 1.60.0
- 1.59.0
- 1.58.0
- 1.57.0
- 1.56.0
- 1.55.0
- 1.54.1
- 1.53.0
- 1.52.0
- 1.51.0
- 1.50.0
- 1.49.0
- 1.48.0
- 1.47.0
- 1.46.0
- 1.45.0
- 1.44.0
- 1.43.0
- 1.39.0
- 1.38.1
- 1.37.0
- 1.36.4
- 1.35.0
- 1.34.0
- 1.33.1
- 1.32.0
- 1.31.1
- 1.30.1
- 1.29.0
- 1.28.1
- 1.27.1
- 1.26.1
- 1.25.0
- 1.24.1
- 1.23.0
- 1.22.1
- 1.21.0
- 1.20.0
- 1.19.1
- 1.18.3
- 1.17.1
- 1.16.1
- 1.15.1
- 1.14.0
- 1.13.1
- 1.12.1
- 1.11.0
- 1.10.0
- 1.9.0
- 1.8.1
- 1.7.1
- 1.6.2
- 1.5.0
- 1.4.3
- 1.3.0
- 1.2.0
- 1.1.1
- 1.0.1
- 0.9.0
- 0.8.0
- 0.7.1
- 0.6.0
- 0.5.1
- 0.4.0
- 0.3.1
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.