createfinetuningjobrequest.md

CreateFineTuningJobRequest

Example Usage

import { CreateFineTuningJobRequest } from "argot-open-ai/models/components";

let value: CreateFineTuningJobRequest = {
  model: "gpt-4o-mini",
  trainingFile: "file-abc123",
  validationFile: "file-abc123",
  integrations: [
    {
      type: "wandb",
      wandb: {
        project: "my-wandb-project",
        tags: [
          "custom-tag",
        ],
      },
    },
  ],
  seed: 42,
};

Fields

Field	Type	Required	Description	Example
model	components.CreateFineTuningJobRequestModel	✔️	The name of the model to fine-tune. You can select one of the supported models.	gpt-4o-mini
trainingFile	string	✔️	The ID of an uploaded file that contains training data. See upload file for how to upload a file. Your dataset must be formatted as a JSONL file. Additionally, you must upload your file with the purpose fine-tune. The contents of the file should differ depending on if the model uses the chat or completions format. See the fine-tuning guide for more details.	file-abc123
hyperparameters	components.Hyperparameters	➖	The hyperparameters used for the fine-tuning job.
suffix	string	➖	A string of up to 64 characters that will be added to your fine-tuned model name. For example, a suffix of "custom-model-name" would produce a model name like ft:gpt-4o-mini:openai:custom-model-name:7p4lURel.
validationFile	string	➖	The ID of an uploaded file that contains validation data. If you provide this file, the data is used to generate validation metrics periodically during fine-tuning. These metrics can be viewed in the fine-tuning results file. The same data should not be present in both train and validation files. Your dataset must be formatted as a JSONL file. You must upload your file with the purpose fine-tune. See the fine-tuning guide for more details.	file-abc123
integrations	components.Integrations[]	➖	A list of integrations to enable for your fine-tuning job.
seed	number	➖	The seed controls the reproducibility of the job. Passing in the same seed and job parameters should produce the same results, but may differ in rare cases. If a seed is not specified, one will be generated for you.	42