public static class LoraTrainingConfig.Builder
extends Object

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`LoraTrainingConfig`	`build()`
`LoraTrainingConfig.Builder`	`copy(LoraTrainingConfig model)`
`LoraTrainingConfig.Builder`	`earlyStoppingPatience(Integer earlyStoppingPatience)`
`LoraTrainingConfig.Builder`	`earlyStoppingThreshold(Double earlyStoppingThreshold)`
`LoraTrainingConfig.Builder`	`learningRate(Double learningRate)`
`LoraTrainingConfig.Builder`	`logModelMetricsIntervalInSteps(Integer logModelMetricsIntervalInSteps)`
`LoraTrainingConfig.Builder`	`loraAlpha(Integer loraAlpha)`	This parameter represents the scaling factor for the weight matrices in LoRA.
`LoraTrainingConfig.Builder`	`loraDropout(Double loraDropout)`	This parameter indicates the dropout probability for LoRA layers.
`LoraTrainingConfig.Builder`	`loraR(Integer loraR)`	This parameter represents the LoRA rank of the update matrices.
`LoraTrainingConfig.Builder`	`totalTrainingEpochs(Integer totalTrainingEpochs)`
`LoraTrainingConfig.Builder`	`trainingBatchSize(Integer trainingBatchSize)`

public LoraTrainingConfig.Builder totalTrainingEpochs(Integer totalTrainingEpochs)

public LoraTrainingConfig.Builder learningRate(Double learningRate)

public LoraTrainingConfig.Builder trainingBatchSize(Integer trainingBatchSize)

public LoraTrainingConfig.Builder earlyStoppingPatience(Integer earlyStoppingPatience)

public LoraTrainingConfig.Builder earlyStoppingThreshold(Double earlyStoppingThreshold)

public LoraTrainingConfig.Builder logModelMetricsIntervalInSteps(Integer logModelMetricsIntervalInSteps)

public LoraTrainingConfig.Builder copy(LoraTrainingConfig model)

Class LoraTrainingConfig.Builder