import type { FineTuneEvent } from "./FineTuneEvent";
import type { OpenAIFile } from "./OpenAIFile";
/**
 * The `FineTune` object represents a legacy fine-tune job that has been created through the API.
 *
 * @deprecated
 */
export type FineTune = {
    /**
     * The object identifier, which can be referenced in the API endpoints.
     */
    id: string;
    /**
     * The Unix timestamp (in seconds) for when the fine-tuning job was created.
     */
    created_at: number;
    /**
     * The list of events that have been observed in the lifecycle of the FineTune job.
     */
    events?: Array<FineTuneEvent>;
    /**
     * The name of the fine-tuned model that is being created.
     */
    fine_tuned_model: string | null;
    /**
     * The hyperparameters used for the fine-tuning job. See the [fine-tuning guide](/docs/guides/legacy-fine-tuning/hyperparameters) for more details.
     */
    hyperparams: {
        /**
         * The batch size to use for training. The batch size is the number of
         * training examples used to train a single forward and backward pass.
         *
         */
        batch_size: number;
        /**
         * The number of classes to use for computing classification metrics.
         *
         */
        classification_n_classes?: number;
        /**
         * The positive class to use for computing classification metrics.
         *
         */
        classification_positive_class?: string;
        /**
         * The classification metrics to compute using the validation dataset at the end of every epoch.
         *
         */
        compute_classification_metrics?: boolean;
        /**
         * The learning rate multiplier to use for training.
         *
         */
        learning_rate_multiplier: number;
        /**
         * The number of epochs to train the model for. An epoch refers to one
         * full cycle through the training dataset.
         *
         */
        n_epochs: number;
        /**
         * The weight to use for loss on the prompt tokens.
         *
         */
        prompt_loss_weight: number;
    };
    /**
     * The base model that is being fine-tuned.
     */
    model: string;
    /**
     * The object type, which is always "fine-tune".
     */
    object: string;
    /**
     * The organization that owns the fine-tuning job.
     */
    organization_id: string;
    /**
     * The compiled results files for the fine-tuning job.
     */
    result_files: Array<OpenAIFile>;
    /**
     * The current status of the fine-tuning job, which can be either `created`, `running`, `succeeded`, `failed`, or `cancelled`.
     */
    status: string;
    /**
     * The list of files used for training.
     */
    training_files: Array<OpenAIFile>;
    /**
     * The Unix timestamp (in seconds) for when the fine-tuning job was last updated.
     */
    updated_at: number;
    /**
     * The list of files used for validation.
     */
    validation_files: Array<OpenAIFile>;
};