Package com.oracle.bmc.generativeai.model

Class LoraTrainingConfig

java.lang.Object

com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel

com.oracle.bmc.generativeai.model.TrainingConfig

com.oracle.bmc.generativeai.model.LoraTrainingConfig

@Generated(value="OracleSDKGenerator",
           comments="API Version: 20231130")
public final class LoraTrainingConfig
extends TrainingConfig

The Lora training method hyperparameters.
Note: Objects should always be created or deserialized using the LoraTrainingConfig.Builder. This model distinguishes fields that are null because they are unset from fields that are explicitly set to null. This is done in the setter methods of the LoraTrainingConfig.Builder, which maintain a set of all explicitly set fields called LoraTrainingConfig.Builder.__explicitlySet__. The hashCode() and equals(Object) methods are implemented to take the explicitly set fields into account. The constructor, on the other hand, does not take the explicitly set fields into account (since the constructor cannot distinguish explicit null from unset null).

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	LoraTrainingConfig.Builder

Nested classes/interfaces inherited from class com.oracle.bmc.generativeai.model.TrainingConfig

TrainingConfig.TrainingConfigType

Field Summary

Fields inherited from class com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel

EXPLICITLY_SET_FILTER_NAME, EXPLICITLY_SET_PROPERTY_NAME

Constructor Summary

Constructors

Constructor	Description
LoraTrainingConfig(Integer totalTrainingEpochs, Double learningRate, Integer trainingBatchSize, Integer earlyStoppingPatience, Double earlyStoppingThreshold, Integer logModelMetricsIntervalInSteps, Integer loraR, Integer loraAlpha, Double loraDropout)	Deprecated.

Method Summary

Modifier and Type	Method	Description
static LoraTrainingConfig.Builder	builder()	Create a new builder.
boolean	equals(Object o)
Integer	getLoraAlpha()	This parameter represents the scaling factor for the weight matrices in LoRA.
Double	getLoraDropout()	This parameter indicates the dropout probability for LoRA layers.
Integer	getLoraR()	This parameter represents the LoRA rank of the update matrices.
int	hashCode()
LoraTrainingConfig.Builder	toBuilder()
String	toString()
String	toString(boolean includeByteArrayContents)	Return a string representation of the object.

Methods inherited from class com.oracle.bmc.generativeai.model.TrainingConfig

getEarlyStoppingPatience, getEarlyStoppingThreshold, getLearningRate, getLogModelMetricsIntervalInSteps, getTotalTrainingEpochs, getTrainingBatchSize

Methods inherited from class com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel

markPropertyAsExplicitlySet, wasPropertyExplicitlySet

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

LoraTrainingConfig

@Deprecated
public LoraTrainingConfig(Integer totalTrainingEpochs,
                          Double learningRate,
                          Integer trainingBatchSize,
                          Integer earlyStoppingPatience,
                          Double earlyStoppingThreshold,
                          Integer logModelMetricsIntervalInSteps,
                          Integer loraR,
                          Integer loraAlpha,
                          Double loraDropout)

Deprecated.

Method Detail

builder

public static LoraTrainingConfig.Builder builder()

Create a new builder.

toBuilder

public LoraTrainingConfig.Builder toBuilder()

getLoraR

public Integer getLoraR()

This parameter represents the LoRA rank of the update matrices.

Returns:

the value

getLoraAlpha

public Integer getLoraAlpha()

This parameter represents the scaling factor for the weight matrices in LoRA.

Returns:

the value

getLoraDropout

public Double getLoraDropout()

This parameter indicates the dropout probability for LoRA layers.

Returns:

the value

toString

public String toString()

Overrides:

toString in class TrainingConfig

toString

public String toString(boolean includeByteArrayContents)

Return a string representation of the object.

Overrides:

toString in class TrainingConfig

Parameters:

includeByteArrayContents - true to include the full contents of byte arrays

Returns:

string representation

equals

public boolean equals(Object o)

Overrides:

equals in class TrainingConfig

hashCode

public int hashCode()

Overrides:

hashCode in class TrainingConfig