Package io.github.stefanbratanov.jvm.openai

Class CreateFineTuningJobRequest.Hyperparameters.Builder

java.lang.Object

io.github.stefanbratanov.jvm.openai.CreateFineTuningJobRequest.Hyperparameters.Builder

Enclosing class:

CreateFineTuningJobRequest.Hyperparameters

public static class CreateFineTuningJobRequest.Hyperparameters.Builder
extends Object

Constructor Summary

Constructors

Constructor	Description
Builder()

Method Summary

Modifier and Type	Method	Description
CreateFineTuningJobRequest.Hyperparameters.Builder	batchSize(Integer batchSize)
CreateFineTuningJobRequest.Hyperparameters.Builder	batchSize(String batchSize)
CreateFineTuningJobRequest.Hyperparameters	build()
CreateFineTuningJobRequest.Hyperparameters.Builder	learningRateMultiplier(Integer learningRateMultiplier)
CreateFineTuningJobRequest.Hyperparameters.Builder	learningRateMultiplier(String learningRateMultiplier)
CreateFineTuningJobRequest.Hyperparameters.Builder	nEpochs(Integer nEpochs)
CreateFineTuningJobRequest.Hyperparameters.Builder	nEpochs(String nEpochs)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

Builder

public Builder()

Method Details

batchSize

public CreateFineTuningJobRequest.Hyperparameters.Builder batchSize(String batchSize)

Parameters:

batchSize - (string or integer) Number of examples in each batch. A larger batch size means that model parameters are updated less frequently, but with lower variance.

batchSize

public CreateFineTuningJobRequest.Hyperparameters.Builder batchSize(Integer batchSize)

Parameters:

batchSize - (string or integer) Number of examples in each batch. A larger batch size means that model parameters are updated less frequently, but with lower variance.

learningRateMultiplier

public CreateFineTuningJobRequest.Hyperparameters.Builder learningRateMultiplier(String learningRateMultiplier)

Parameters:

learningRateMultiplier - (string or integer) Scaling factor for the learning rate. A smaller learning rate may be useful to avoid overfitting.

learningRateMultiplier

public CreateFineTuningJobRequest.Hyperparameters.Builder learningRateMultiplier(Integer learningRateMultiplier)

Parameters:

learningRateMultiplier - (string or integer) Scaling factor for the learning rate. A smaller learning rate may be useful to avoid overfitting.

nEpochs

public CreateFineTuningJobRequest.Hyperparameters.Builder nEpochs(String nEpochs)

Parameters:

nEpochs - (string or integer) The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset.

nEpochs

public CreateFineTuningJobRequest.Hyperparameters.Builder nEpochs(Integer nEpochs)

Parameters:

nEpochs - (string or integer) The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset.

build

public CreateFineTuningJobRequest.Hyperparameters build()