commonMain.com.xebia.functional.openai.generated.model.CreateFineTuningJobRequestHyperparameters.kt Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of xef-openai-client Show documentation
Show all versions of xef-openai-client Show documentation
Building applications with LLMs through composability in Kotlin
The newest version!
/**
*
* Please note:
* This class is auto generated by OpenAPI Generator (https://openapi-generator.tech).
* Do not edit this file manually.
*
*/
@file:Suppress(
"ArrayInDataClass",
"EnumEntryName",
"RemoveRedundantQualifierName",
"UnusedImport"
)
package com.xebia.functional.openai.generated.model
import com.xebia.functional.openai.generated.model.CreateFineTuningJobRequestHyperparametersBatchSize
import com.xebia.functional.openai.generated.model.CreateFineTuningJobRequestHyperparametersLearningRateMultiplier
import com.xebia.functional.openai.generated.model.CreateFineTuningJobRequestHyperparametersNEpochs
import kotlinx.serialization.Serializable
import kotlinx.serialization.SerialName
import kotlinx.serialization.Contextual
import kotlin.js.JsName
import kotlinx.serialization.json.*
/**
* The hyperparameters used for the fine-tuning job.
*
* @param batchSize
* @param learningRateMultiplier
* @param nEpochs
*/
@Serializable
data class CreateFineTuningJobRequestHyperparameters (
@SerialName(value = "batch_size") val batchSize: CreateFineTuningJobRequestHyperparametersBatchSize? = null,
@SerialName(value = "learning_rate_multiplier") val learningRateMultiplier: CreateFineTuningJobRequestHyperparametersLearningRateMultiplier? = null,
@SerialName(value = "n_epochs") val nEpochs: CreateFineTuningJobRequestHyperparametersNEpochs? = null
) {
}