Fine Tuning Tasks

Manage fine-tuning jobs to tailor a model to your specific training data. See the related guide Fine Tuning models and view the Official OpenAI Docs.

jobs.create()

Creates a job that fine-tunes a specified model from a given dataset.

Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete.

You must first upload a dataset to the API before creating a fine-tuning job. See our OpenAI File Tasks for more information.

example.ts

const file = await io.openai.files.create("upload-file", {
  purpose: "fine-tune",
  file: fs.createReadStream("./mydata.jsonl"),
});

const fineTuning = await io.openai.fineTuning.jobs.create("fine-tuning", {
  training_file: file.id,
  model: "gpt-3.5-turbo",
  suffix: "my-model",
});

jobs.list()

List your organization’s fine-tuning jobs. Official OpenAI Docs

example.ts

const fts = await io.openai.fineTuning.jobs.list("list");

jobs.retrieve()

Get info about a fine-tuning job. Official OpenAI Docs

example.ts

const fineTuning = await io.openai.fineTuning.jobs.retrieve("fine-tuning", "ft_1234");

jobs.cancel()

Immediately cancel a fine-tune job. Official OpenAI Docs

example.ts

const fineTuning = await io.openai.fineTuning.jobs.cancel("fine-tuning", "ft_1234");

jobs.listEvents()

Get status updates for a fine-tuning job. Official OpenAI Docs

example.ts

const events = await io.openai.fineTuning.jobs.listEvents("fine-tuning", { id: "ft_1234" });