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Basic java objects for the OpenAI GPT APIs

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package com.launchableinc.openai.finetune;

import com.fasterxml.jackson.annotation.JsonProperty;
import com.launchableinc.openai.file.File;
import lombok.Data;

import java.util.List;

/**
 * An object describing a fine-tuned model. Returned by multiple fine-tune requests.
 * 
 * https://beta.openai.com/docs/api-reference/fine-tunes
 */
@Deprecated
@Data
public class FineTuneResult {

	/**
	 * The ID of the fine-tuning job.
	 */
	String id;

	/**
	 * The type of object returned, should be "fine-tune".
	 */
	String object;

	/**
	 * The name of the base model.
	 */
	String model;

	/**
	 * The creation time in epoch seconds.
	 */
	@JsonProperty("created_at")
	Long createdAt;

	/**
	 * List of events in this job's lifecycle. Null when getting a list of fine-tune jobs.
	 */
	List events;

	/**
	 * The ID of the fine-tuned model, null if tuning job is not finished. This is the id used to call
	 * the model.
	 */
	@JsonProperty("fine_tuned_model")
	String fineTunedModel;

	/**
	 * The specified hyper-parameters for the tuning job.
	 */
	HyperParameters hyperparams;

	/**
	 * The ID of the organization this model belongs to.
	 */
	@JsonProperty("organization_id")
	String organizationId;

	/**
	 * Result files for this fine-tune job.
	 */
	@JsonProperty("result_files")
	List resultFiles;

	/**
	 * The status os the fine-tune job. "pending", "succeeded", or "cancelled"
	 */
	String status;

	/**
	 * Training files for this fine-tune job.
	 */
	@JsonProperty("training_files")
	List trainingFiles;

	/**
	 * The last update time in epoch seconds.
	 */
	@JsonProperty("updated_at")
	Long updatedAt;

	/**
	 * Validation files for this fine-tune job.
	 */
	@JsonProperty("validation_files")
	List validationFiles;
}