@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).
| Modifier and Type | Class and Description |
|---|---|
static class |
LoraTrainingConfig.Builder |
TrainingConfig.TrainingConfigTypeEXPLICITLY_SET_FILTER_NAME, EXPLICITLY_SET_PROPERTY_NAME| Constructor and Description |
|---|
LoraTrainingConfig(Integer totalTrainingEpochs,
Double learningRate,
Integer trainingBatchSize,
Integer earlyStoppingPatience,
Double earlyStoppingThreshold,
Integer logModelMetricsIntervalInSteps,
Integer loraR,
Integer loraAlpha,
Double loraDropout)
Deprecated.
|
| Modifier and Type | Method and 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.
|
getEarlyStoppingPatience, getEarlyStoppingThreshold, getLearningRate, getLogModelMetricsIntervalInSteps, getTotalTrainingEpochs, getTrainingBatchSizemarkPropertyAsExplicitlySet, wasPropertyExplicitlySet@Deprecated public LoraTrainingConfig(Integer totalTrainingEpochs, Double learningRate, Integer trainingBatchSize, Integer earlyStoppingPatience, Double earlyStoppingThreshold, Integer logModelMetricsIntervalInSteps, Integer loraR, Integer loraAlpha, Double loraDropout)
public static LoraTrainingConfig.Builder builder()
Create a new builder.
public LoraTrainingConfig.Builder toBuilder()
public Integer getLoraR()
This parameter represents the LoRA rank of the update matrices.
public Integer getLoraAlpha()
This parameter represents the scaling factor for the weight matrices in LoRA.
public Double getLoraDropout()
This parameter indicates the dropout probability for LoRA layers.
public String toString()
toString in class TrainingConfigpublic String toString(boolean includeByteArrayContents)
Return a string representation of the object.
toString in class TrainingConfigincludeByteArrayContents - true to include the full contents of byte arrayspublic boolean equals(Object o)
equals in class TrainingConfigpublic int hashCode()
hashCode in class TrainingConfigCopyright © 2016–2024. All rights reserved.