Nested Classes
Modifier and Type	Class	Description
`public final class`	`FineTuningJobCreateParams.Hyperparameters.Builder`	A builder for Hyperparameters.
`public final class`	`FineTuningJobCreateParams.Hyperparameters.BatchSize`	Number of examples in each batch. A larger batch size means that model parameters are updated less frequently, but with lower variance.
`public final class`	`FineTuningJobCreateParams.Hyperparameters.LearningRateMultiplier`	Scaling factor for the learning rate. A smaller learning rate may be useful to avoid overfitting.
`public final class`	`FineTuningJobCreateParams.Hyperparameters.NEpochs`	The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset.

Fields
Modifier and Type	Field	Description

Constructors
Constructor	Description

Enum Constants
Enum Constant	Description

Modifier and Type	Method	Description
`final Optional<FineTuningJobCreateParams.Hyperparameters.BatchSize>`	`batchSize()`	Number of examples in each batch.
`final Optional<FineTuningJobCreateParams.Hyperparameters.LearningRateMultiplier>`	`learningRateMultiplier()`	Scaling factor for the learning rate.
`final Optional<FineTuningJobCreateParams.Hyperparameters.NEpochs>`	`nEpochs()`	The number of epochs to train the model for.
`final JsonField<FineTuningJobCreateParams.Hyperparameters.BatchSize>`	`_batchSize()`	Number of examples in each batch.
`final JsonField<FineTuningJobCreateParams.Hyperparameters.LearningRateMultiplier>`	`_learningRateMultiplier()`	Scaling factor for the learning rate.
`final JsonField<FineTuningJobCreateParams.Hyperparameters.NEpochs>`	`_nEpochs()`	The number of epochs to train the model for.
`final Map<String, JsonValue>`	`_additionalProperties()`
`final FineTuningJobCreateParams.Hyperparameters`	`validate()`
`final FineTuningJobCreateParams.Hyperparameters.Builder`	`toBuilder()`
`Boolean`	`equals(Object other)`
`Integer`	`hashCode()`
`String`	`toString()`
`final static FineTuningJobCreateParams.Hyperparameters.Builder`	`builder()`

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

batchSize
```
 final Optional<FineTuningJobCreateParams.Hyperparameters.BatchSize> batchSize()
```
Number of examples in each batch. A larger batch size means that model parameters are updated less frequently, but with lower variance.

learningRateMultiplier
```
 final Optional<FineTuningJobCreateParams.Hyperparameters.LearningRateMultiplier> learningRateMultiplier()
```
Scaling factor for the learning rate. A smaller learning rate may be useful to avoid overfitting.

nEpochs
```
 final Optional<FineTuningJobCreateParams.Hyperparameters.NEpochs> nEpochs()
```
The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset.

_batchSize
```
 final JsonField<FineTuningJobCreateParams.Hyperparameters.BatchSize> _batchSize()
```
Number of examples in each batch. A larger batch size means that model parameters are updated less frequently, but with lower variance.

_learningRateMultiplier
```
 final JsonField<FineTuningJobCreateParams.Hyperparameters.LearningRateMultiplier> _learningRateMultiplier()
```
Scaling factor for the learning rate. A smaller learning rate may be useful to avoid overfitting.

_nEpochs
```
 final JsonField<FineTuningJobCreateParams.Hyperparameters.NEpochs> _nEpochs()
```
The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset.

 final Map<String, JsonValue> _additionalProperties()

 final FineTuningJobCreateParams.Hyperparameters validate()

 final FineTuningJobCreateParams.Hyperparameters.Builder toBuilder()

 final static FineTuningJobCreateParams.Hyperparameters.Builder builder()

Class FineTuningJobCreateParams.Hyperparameters