Vertex AI v1beta1 API - Class SupervisedTuningSpec (1.0.0-beta39) 

public sealed class SupervisedTuningSpec : IMessage<SupervisedTuningSpec>, IEquatable<SupervisedTuningSpec>, IDeepCloneable<SupervisedTuningSpec>, IBufferMessage, IMessage

Reference documentation and code samples for the Vertex AI v1beta1 API class SupervisedTuningSpec.

Tuning Spec for Supervised Tuning for first party models.

Inheritance

object > SupervisedTuningSpec

Namespace

Google.Cloud.AIPlatform.V1Beta1

Assembly

Google.Cloud.AIPlatform.V1Beta1.dll

Constructors

SupervisedTuningSpec()

public SupervisedTuningSpec()

SupervisedTuningSpec(SupervisedTuningSpec)

public SupervisedTuningSpec(SupervisedTuningSpec other)
Parameter
Name Description
other SupervisedTuningSpec

Properties

ExportLastCheckpointOnly

public bool ExportLastCheckpointOnly { get; set; }

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.

Property Value
Type Description
bool

HyperParameters

public SupervisedHyperParameters HyperParameters { get; set; }

Optional. Hyperparameters for SFT.

Property Value
Type Description
SupervisedHyperParameters

TrainingDatasetUri

public string TrainingDatasetUri { get; set; }

Required. Training dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.

Property Value
Type Description
string

TuningMode

public SupervisedTuningSpec.Types.TuningMode TuningMode { get; set; }

Tuning mode.

Property Value
Type Description
SupervisedTuningSpecTypesTuningMode

ValidationDatasetUri

public string ValidationDatasetUri { get; set; }

Optional. Validation dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.

Property Value
Type Description
string