Class SupervisedTuningSpec (1.158.0)

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

Tuning Spec for Supervised Tuning for first party models.

Attributes
Name	Description
training_dataset_uri	str Required. Cloud Storage path to file containing training dataset for tuning. The dataset must be formatted as a JSONL file.
validation_dataset_uri	str Optional. Cloud Storage path to file containing validation dataset for tuning. The dataset must be formatted as a JSONL file.
hyper_parameters	google.cloud.aiplatform_v1.types.SupervisedHyperParameters Optional. Hyperparameters for SFT.
export_last_checkpoint_only	bool Optional. If set to true, disable intermediate checkpoints for SFT and only the last checkpoint will be exported. Otherwise, enable intermediate checkpoints for SFT. Default is false.
evaluation_config	google.cloud.aiplatform_v1.types.EvaluationConfig Optional. Evaluation Config for Tuning Job.

Methods

SupervisedTuningSpec

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

Tuning Spec for Supervised Tuning for first party models.