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• Hyperparameters.java

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com.launchableinc.openai.fine_tuning.Hyperparameters Maven / Gradle / Ivy

package com.launchableinc.openai.fine_tuning;

import com.fasterxml.jackson.annotation.JsonProperty;
import lombok.AllArgsConstructor;
import lombok.Builder;
import lombok.Data;
import lombok.NoArgsConstructor;


/**
 * Hyperparameters for a fine-tuning job
 * https://platform.openai.com/docs/api-reference/fine-tuning/object#hyperparameters
 */
@Builder
@NoArgsConstructor
@AllArgsConstructor
@Data
public class Hyperparameters {

	/**
	 * The number of epochs to train the model for. An epoch refers to one full cycle through the
	 * training dataset. "Auto" decides the optimal number of epochs based on the size of the dataset.
	 * If setting the number manually, we support any number between 1 and 50 epochs.
	 */
	@JsonProperty("n_epochs")
	Integer nEpochs;
}