Vertex AI v1beta1 API - Class SupervisedHyperParameters (1.0.0-beta61) 

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

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

Hyperparameters for SFT.

Inheritance

object > SupervisedHyperParameters

Namespace

Google.Cloud.AIPlatform.V1Beta1

Assembly

Google.Cloud.AIPlatform.V1Beta1.dll

Constructors

SupervisedHyperParameters()

public SupervisedHyperParameters()

SupervisedHyperParameters(SupervisedHyperParameters)

public SupervisedHyperParameters(SupervisedHyperParameters other)
Parameter
Name Description
other SupervisedHyperParameters

Properties

AdapterSize

public SupervisedHyperParameters.Types.AdapterSize AdapterSize { get; set; }

Optional. Adapter size for tuning.

Property Value
Type Description
SupervisedHyperParametersTypesAdapterSize

BatchSize

public long BatchSize { get; set; }

Optional. Batch size for tuning. This feature is only available for open source models.

Property Value
Type Description
long

EpochCount

public long EpochCount { get; set; }

Optional. Number of complete passes the model makes over the entire training dataset during training.

Property Value
Type Description
long

LearningRate

public double LearningRate { get; set; }

Optional. Learning rate for tuning. Mutually exclusive with learning_rate_multiplier. This feature is only available for open source models.

Property Value
Type Description
double

LearningRateMultiplier

public double LearningRateMultiplier { get; set; }

Optional. Multiplier for adjusting the default learning rate. Mutually exclusive with learning_rate.

Property Value
Type Description
double