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Class TrainProcessorVersionRequest.FoundationModelTuningOptions.Builder (2.87.0)
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public static final class TrainProcessorVersionRequest . FoundationModelTuningOptions . Builder extends GeneratedMessage . Builder<TrainProcessorVersionRequest . FoundationModelTuningOptions . Builder > implements TrainProcessorVersionRequest . FoundationModelTuningOptionsOrBuilder
Options to control foundation model tuning of the processor.
Protobuf type
google.cloud.documentai.v1beta3.TrainProcessorVersionRequest.FoundationModelTuningOptions
Inherited Members
com.google.protobuf.GeneratedMessage.Builder.getUnknownFieldSetBuilder()
com.google.protobuf.GeneratedMessage.Builder.internalGetMapFieldReflection(int)
com.google.protobuf.GeneratedMessage.Builder.internalGetMutableMapFieldReflection(int)
com.google.protobuf.GeneratedMessage.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)
com.google.protobuf.GeneratedMessage.Builder.mergeUnknownVarintField(int,int)
com.google.protobuf.GeneratedMessage.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)
com.google.protobuf.GeneratedMessage.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)
com.google.protobuf.GeneratedMessage.Builder.setUnknownFieldsProto3(com.google.protobuf.UnknownFieldSet)
Static Methods
getDescriptor()
public static final Descriptors . Descriptor getDescriptor ()
Methods
build()
public TrainProcessorVersionRequest . FoundationModelTuningOptions build ()
buildPartial()
public TrainProcessorVersionRequest . FoundationModelTuningOptions buildPartial ()
clear()
public TrainProcessorVersionRequest . FoundationModelTuningOptions . Builder clear ()
Overrides
clearLearningRateMultiplier()
public TrainProcessorVersionRequest . FoundationModelTuningOptions . Builder clearLearningRateMultiplier ()
Optional. The multiplier to apply to the recommended learning rate. Valid
values are between 0.1 and 10. If not provided, recommended learning rate
will be used.
float learning_rate_multiplier = 3 [(.google.api.field_behavior) = OPTIONAL];
clearTrainSteps()
public TrainProcessorVersionRequest . FoundationModelTuningOptions . Builder clearTrainSteps ()
Optional. The number of steps to run for model tuning. Valid values are
between 1 and 400. If not provided, recommended steps will be used.
int32 train_steps = 2 [(.google.api.field_behavior) = OPTIONAL];
getDefaultInstanceForType()
public TrainProcessorVersionRequest . FoundationModelTuningOptions getDefaultInstanceForType ()
getDescriptorForType()
public Descriptors . Descriptor getDescriptorForType ()
Overrides
getLearningRateMultiplier()
public float getLearningRateMultiplier ()
Optional. The multiplier to apply to the recommended learning rate. Valid
values are between 0.1 and 10. If not provided, recommended learning rate
will be used.
float learning_rate_multiplier = 3 [(.google.api.field_behavior) = OPTIONAL];
Returns
Type Description
float The learningRateMultiplier.
getTrainSteps()
public int getTrainSteps ()
Optional. The number of steps to run for model tuning. Valid values are
between 1 and 400. If not provided, recommended steps will be used.
int32 train_steps = 2 [(.google.api.field_behavior) = OPTIONAL];
Returns
Type Description
int The trainSteps.
internalGetFieldAccessorTable()
protected GeneratedMessage . FieldAccessorTable internalGetFieldAccessorTable ()
Overrides
isInitialized()
public final boolean isInitialized ()
Overrides
mergeFrom(TrainProcessorVersionRequest.FoundationModelTuningOptions other)
public TrainProcessorVersionRequest . FoundationModelTuningOptions . Builder mergeFrom ( TrainProcessorVersionRequest . FoundationModelTuningOptions other )
public TrainProcessorVersionRequest . FoundationModelTuningOptions . Builder mergeFrom ( CodedInputStream input , ExtensionRegistryLite extensionRegistry )
Overrides
mergeFrom(Message other)
public TrainProcessorVersionRequest . FoundationModelTuningOptions . Builder mergeFrom ( Message other )
Parameter
Name Description
otherMessage
Overrides
setLearningRateMultiplier(float value)
public TrainProcessorVersionRequest . FoundationModelTuningOptions . Builder setLearningRateMultiplier ( float value )
Optional. The multiplier to apply to the recommended learning rate. Valid
values are between 0.1 and 10. If not provided, recommended learning rate
will be used.
float learning_rate_multiplier = 3 [(.google.api.field_behavior) = OPTIONAL];
Parameter
Name Description
valuefloat The learningRateMultiplier to set.
setTrainSteps(int value)
public TrainProcessorVersionRequest . FoundationModelTuningOptions . Builder setTrainSteps ( int value )
Optional. The number of steps to run for model tuning. Valid values are
between 1 and 400. If not provided, recommended steps will be used.
int32 train_steps = 2 [(.google.api.field_behavior) = OPTIONAL];
Parameter
Name Description
valueint The trainSteps to set.
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Last updated 2026-02-01 UTC.
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