Package io.github.stefanbratanov.jvm.openai

Class CreateFineTuningJobRequest.Builder

java.lang.Object

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

Enclosing class:

CreateFineTuningJobRequest

public static class CreateFineTuningJobRequest.Builder
extends Object

Constructor Summary

Constructors

Constructor	Description
Builder()

Method Summary

Modifier and Type	Method	Description
CreateFineTuningJobRequest	build()
CreateFineTuningJobRequest.Builder	hyperparameters(CreateFineTuningJobRequest.Hyperparameters hyperparameters)
CreateFineTuningJobRequest.Builder	model(String model)
CreateFineTuningJobRequest.Builder	suffix(String suffix)
CreateFineTuningJobRequest.Builder	trainingFile(String trainingFile)
CreateFineTuningJobRequest.Builder	validationFile(String validationFile)

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

model

public CreateFineTuningJobRequest.Builder model(String model)

Parameters:

model - The name of the model to fine-tune

trainingFile

public CreateFineTuningJobRequest.Builder trainingFile(String trainingFile)

Parameters:

trainingFile - The ID of an uploaded file that contains training data. Your dataset must be formatted as a JSONL file. Additionally, you must upload your file with the purpose fine-tune.

hyperparameters

public CreateFineTuningJobRequest.Builder hyperparameters(CreateFineTuningJobRequest.Hyperparameters hyperparameters)

Parameters:

hyperparameters - The hyperparameters used for the fine-tuning job

suffix

public CreateFineTuningJobRequest.Builder suffix(String suffix)

Parameters:

suffix - A string of up to 18 characters that will be added to your fine-tuned model name

validationFile

public CreateFineTuningJobRequest.Builder validationFile(String validationFile)

Parameters:

validationFile - The ID of an uploaded file that contains validation data.

If you provide this file, the data is used to generate validation metrics periodically during fine-tuning. These metrics can be viewed in the fine-tuning results file. The same data should not be present in both train and validation files.

build

public CreateFineTuningJobRequest build()