All Implemented Interfaces:

com.openai.core.Params
```
public final class FineTuningJobCreateParams
 implements Params
                    
```
Creates a fine-tuning job which begins the process of creating a new model from a given dataset.
Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete.
Learn more about fine-tuning

Nested Class Summary

Nested Classes
Modifier and Type	Class	Description
`public final class`	`FineTuningJobCreateParams.Body`
`public final class`	`FineTuningJobCreateParams.Builder`	A builder for FineTuningJobCreateParams.
`public final class`	`FineTuningJobCreateParams.Model`	The name of the model to fine-tune. You can select one of the supported models.
`public final class`	`FineTuningJobCreateParams.Hyperparameters`	The hyperparameters used for the fine-tuning job. This value is now deprecated in favor of `method`, and should be passed in under the `method` parameter.
`public final class`	`FineTuningJobCreateParams.Integration`
`public final class`	`FineTuningJobCreateParams.Method`	The method used for fine-tuning.

Field Summary

Fields
Modifier and Type	Field	Description

Constructor Summary

Constructors
Constructor	Description

Enum Constant Summary

Enum Constants
Enum Constant	Description

Method Summary

Modifier and Type	Method	Description
`final FineTuningJobCreateParams.Model`	`model()`	The name of the model to fine-tune.
`final String`	`trainingFile()`	The ID of an uploaded file that contains training data.
`final Optional<FineTuningJobCreateParams.Hyperparameters>`	`hyperparameters()`	The hyperparameters used for the fine-tuning job.
`final Optional<List<FineTuningJobCreateParams.Integration>>`	`integrations()`	A list of integrations to enable for your fine-tuning job.
`final Optional<FineTuningJobCreateParams.Method>`	`method()`	The method used for fine-tuning.
`final Optional<Long>`	`seed()`	The seed controls the reproducibility of the job.
`final Optional<String>`	`suffix()`	A string of up to 64 characters that will be added to your fine-tuned model name.
`final Optional<String>`	`validationFile()`	The ID of an uploaded file that contains validation data.
`final JsonField<FineTuningJobCreateParams.Model>`	`_model()`	The name of the model to fine-tune.
`final JsonField<String>`	`_trainingFile()`	The ID of an uploaded file that contains training data.
`final JsonField<FineTuningJobCreateParams.Hyperparameters>`	`_hyperparameters()`	The hyperparameters used for the fine-tuning job.
`final JsonField<List<FineTuningJobCreateParams.Integration>>`	`_integrations()`	A list of integrations to enable for your fine-tuning job.
`final JsonField<FineTuningJobCreateParams.Method>`	`_method()`	The method used for fine-tuning.
`final JsonField<Long>`	`_seed()`	The seed controls the reproducibility of the job.
`final JsonField<String>`	`_suffix()`	A string of up to 64 characters that will be added to your fine-tuned model name.
`final JsonField<String>`	`_validationFile()`	The ID of an uploaded file that contains validation data.
`final Map<String, JsonValue>`	`_additionalBodyProperties()`
`final Headers`	`_additionalHeaders()`
`final QueryParams`	`_additionalQueryParams()`
`Headers`	`_headers()`	The full set of headers in the parameters, including both fixed and additional headers.
`QueryParams`	`_queryParams()`	The full set of query params in the parameters, including both fixed and additional query params.
`final FineTuningJobCreateParams.Builder`	`toBuilder()`
`Boolean`	`equals(Object other)`
`Integer`	`hashCode()`
`String`	`toString()`
`final static FineTuningJobCreateParams.Builder`	`builder()`

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
- Method Detail
  - model
```
 final FineTuningJobCreateParams.Model model()
```
    The name of the model to fine-tune. You can select one of the supported models.
  - trainingFile
```
 final String trainingFile()
```
    The ID of an uploaded file that contains training data.
    See upload file for how to upload a file.
    Your dataset must be formatted as a JSONL file. Additionally, you must upload your file with the purpose fine-tune.
    The contents of the file should differ depending on if the model uses the chat, completions format, or if the fine-tuning method uses the preference format.
    See the fine-tuning guide for more details.
  - hyperparameters
```
@Deprecated(message = "deprecated") final Optional<FineTuningJobCreateParams.Hyperparameters> hyperparameters()
```
    The hyperparameters used for the fine-tuning job. This value is now deprecated in favor of method, and should be passed in under the method parameter.
  - integrations
```
 final Optional<List<FineTuningJobCreateParams.Integration>> integrations()
```
    A list of integrations to enable for your fine-tuning job.
  - method
```
 final Optional<FineTuningJobCreateParams.Method> method()
```
    The method used for fine-tuning.
  - seed
```
 final Optional<Long> seed()
```
    The seed controls the reproducibility of the job. Passing in the same seed and job parameters should produce the same results, but may differ in rare cases. If a seed is not specified, one will be generated for you.
  - suffix
```
 final Optional<String> suffix()
```
    A string of up to 64 characters that will be added to your fine-tuned model name.
    For example, a suffix of "custom-model-name" would produce a model name like ft:gpt-4o-mini:openai:custom-model-name:7p4lURel.
  - validationFile
```
 final Optional<String> 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.
    Your dataset must be formatted as a JSONL file. You must upload your file with the purpose fine-tune.
    See the fine-tuning guide for more details.
  - _model
```
 final JsonField<FineTuningJobCreateParams.Model> _model()
```
    The name of the model to fine-tune. You can select one of the supported models.
  - _trainingFile
```
 final JsonField<String> _trainingFile()
```
    The ID of an uploaded file that contains training data.
    See upload file for how to upload a file.
    Your dataset must be formatted as a JSONL file. Additionally, you must upload your file with the purpose fine-tune.
    The contents of the file should differ depending on if the model uses the chat, completions format, or if the fine-tuning method uses the preference format.
    See the fine-tuning guide for more details.
  - _hyperparameters
```
@Deprecated(message = "deprecated") final JsonField<FineTuningJobCreateParams.Hyperparameters> _hyperparameters()
```
    The hyperparameters used for the fine-tuning job. This value is now deprecated in favor of method, and should be passed in under the method parameter.
  - _integrations
```
 final JsonField<List<FineTuningJobCreateParams.Integration>> _integrations()
```
    A list of integrations to enable for your fine-tuning job.
  - _method
```
 final JsonField<FineTuningJobCreateParams.Method> _method()
```
    The method used for fine-tuning.
  - _seed
```
 final JsonField<Long> _seed()
```
    The seed controls the reproducibility of the job. Passing in the same seed and job parameters should produce the same results, but may differ in rare cases. If a seed is not specified, one will be generated for you.
  - _suffix
```
 final JsonField<String> _suffix()
```
    A string of up to 64 characters that will be added to your fine-tuned model name.
    For example, a suffix of "custom-model-name" would produce a model name like ft:gpt-4o-mini:openai:custom-model-name:7p4lURel.
  - _validationFile
```
 final JsonField<String> _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.
    Your dataset must be formatted as a JSONL file. You must upload your file with the purpose fine-tune.
    See the fine-tuning guide for more details.
  - _additionalBodyProperties
```
 final Map<String, JsonValue> _additionalBodyProperties()
```
  - _additionalHeaders
```
 final Headers _additionalHeaders()
```
  - _additionalQueryParams
```
 final QueryParams _additionalQueryParams()
```
  - _headers
```
 Headers _headers()
```
    The full set of headers in the parameters, including both fixed and additional headers.
  - _queryParams
```
 QueryParams _queryParams()
```
    The full set of query params in the parameters, including both fixed and additional query params.
  - toBuilder
```
 final FineTuningJobCreateParams.Builder toBuilder()
```
  - equals
```
 Boolean equals(Object other)
```
  - hashCode
```
 Integer hashCode()
```
  - toString
```
 String toString()
```
  - builder
```
 final static FineTuningJobCreateParams.Builder builder()
```

Class FineTuningJobCreateParams

Nested Class Summary

Field Summary

Constructor Summary

Enum Constant Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

Method Detail

model

trainingFile

hyperparameters

integrations

method

seed

suffix

validationFile

_model

_trainingFile

_hyperparameters

_integrations

_method

_seed

_suffix

_validationFile

_additionalBodyProperties

_additionalHeaders

_additionalQueryParams

_headers

_queryParams

toBuilder

equals

hashCode

toString

builder