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Module

x/openai/resources/fine-tunes.ts>FineTune

Deno build of the official Typescript library for the OpenAI API. Source: https://github.com/openai/openai-node
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namespace FineTune
import { FineTune } from "https://deno.land/x/openai@v4.19.0/resources/fine-tunes.ts";

Interfaces

The hyperparameters used for the fine-tuning job. See the fine-tuning guide for more details.

interface FineTune
import { type FineTune } from "https://deno.land/x/openai@v4.19.0/resources/fine-tunes.ts";

The FineTune object represents a legacy fine-tune job that has been created through the API.

Properties

id: string

The object identifier, which can be referenced in the API endpoints.

created_at: number

The Unix timestamp (in seconds) for when the fine-tuning job was created.

fine_tuned_model: string | null

The name of the fine-tuned model that is being created.

hyperparams: FineTune.Hyperparams

The hyperparameters used for the fine-tuning job. See the fine-tuning guide for more details.

model: string

The base model that is being fine-tuned.

object: "fine-tune"

The object type, which is always "fine-tune".

organization_id: string

The organization that owns the fine-tuning job.

result_files: Array<FilesAPI.FileObject>

The compiled results files for the fine-tuning job.

status: string

The current status of the fine-tuning job, which can be either created, running, succeeded, failed, or cancelled.

training_files: Array<FilesAPI.FileObject>

The list of files used for training.

updated_at: number

The Unix timestamp (in seconds) for when the fine-tuning job was last updated.

validation_files: Array<FilesAPI.FileObject>

The list of files used for validation.

optional
events: Array<FineTuneEvent>

The list of events that have been observed in the lifecycle of the FineTune job.