Create Fine Tuning Job with OpenAI (ChatGPT) API

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Create Fine Tuning Job with the OpenAI (ChatGPT) API

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Getting Started#

Create a workflow to Create Fine Tuning Job with the OpenAI (ChatGPT) API. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Configure the Create Fine Tuning Job action
1. Connect your OpenAI (ChatGPT) account
2. Select a Fine Tuning Model
3. Select a Training File
4. Optional- Configure Hyperparameters
5. Optional- Configure Suffix
6. Optional- Select a Validation File
Select a trigger to run your workflow on HTTP requests, schedules or app events
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Integrations#

Create Fine Tuning Job with OpenAI (ChatGPT) API on New API Version Created from SwaggerHub API

SwaggerHub + OpenAI (ChatGPT)

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Create Fine Tuning Job with OpenAI (ChatGPT) API on New Requests (Payload Only) from HTTP / Webhook API

HTTP / Webhook + OpenAI (ChatGPT)

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Create Fine Tuning Job with OpenAI (ChatGPT) API on New Submission from Typeform API

Typeform + OpenAI (ChatGPT)

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Create Fine Tuning Job with OpenAI (ChatGPT) API on Custom Events from Zoom API

Zoom + OpenAI (ChatGPT)

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Create Fine Tuning Job with OpenAI (ChatGPT) API on New Submission (Instant) from Jotform API

Jotform + OpenAI (ChatGPT)

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Details#

This is a pre-built, source-available component from Pipedream's GitHub repo. The component is developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Create Fine Tuning Job on OpenAI (ChatGPT)

Description:Creates a job that fine-tunes a specified model from a given dataset. [See the documentation](https://platform.openai.com/docs/api-reference/fine-tuning/create)

Version:0.0.10

Key:openai-create-fine-tuning-job

View on GitHub

Code#

import openai from "../../openai.app.mjs";

export default {
  key: "openai-create-fine-tuning-job",
  name: "Create Fine Tuning Job",
  description: "Creates a job that fine-tunes a specified model from a given dataset. [See the documentation](https://platform.openai.com/docs/api-reference/fine-tuning/create)",
  version: "0.0.10",
  type: "action",
  props: {
    openai,
    model: {
      propDefinition: [
        openai,
        "fineTuningModel",
      ],
    },
    trainingFile: {
      propDefinition: [
        openai,
        "fileId",
        () => ({
          purpose: "fine-tune",
        }),
      ],
      label: "Training File",
      description: "The ID of an uploaded file that contains training data. You can use the **Upload File** action and reference the returned ID here.",
    },
    hyperParameters: {
      type: "object",
      label: "Hyperparameters",
      description: "The hyperparameters used for the fine-tuning job. [See details in the documentation](https://platform.openai.com/docs/api-reference/fine-tuning/create#fine-tuning-create-hyperparameters).",
      optional: true,
    },
    suffix: {
      type: "string",
      label: "Suffix",
      description: "A string of up to 18 characters that will be added to your fine-tuned model name.",
      optional: true,
    },
    validationFile: {
      propDefinition: [
        openai,
        "fileId",
        () => ({
          purpose: "fine-tune",
        }),
      ],
      label: "Validation File",
      description: "The ID of an uploaded file that contains validation data. [See details in the documentation](https://platform.openai.com/docs/api-reference/fine-tuning/create#fine-tuning-create-validation_file).",
      optional: true,
    },
  },
  async run({ $ }) {
    const response = await this.openai.createFineTuningJob({
      $,
      data: {
        model: this.model,
        training_file: this.trainingFile,
        hyperparameters: this.hyperParameters,
        suffix: this.suffix,
        validation_file: this.validationFile,
      },
    });

    $.export("$summary", `Successfully created fine-tuning job with model ${this.model}`);
    return response;
  },
};

Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
OpenAI (ChatGPT)	`openai`	`app`	This component uses the OpenAI (ChatGPT) app.
Fine Tuning Model	`model`	`string`	Select a value from the drop down menu:`{ "label": "gpt-3.5-turbo-1106 (recommended)", "value": "gpt-3.5-turbo-1106" }{ "label": "gpt-3.5-turbo-0613", "value": "gpt-3.5-turbo-0613" }{ "label": "babbage-002", "value": "babbage-002" }{ "label": "davinci-002", "value": "davinci-002" }{ "label": "gpt-4-0613 (experimental — eligible users will be presented with an option to request access in the fine-tuning UI)", "value": "gpt-4-0613" }`
Training File	`trainingFile`	`string`	Select a value from the drop down menu.
Hyperparameters	`hyperParameters`	`object`	The hyperparameters used for the fine-tuning job. See details in the documentation.
Suffix	`suffix`	`string`	A string of up to 18 characters that will be added to your fine-tuned model name.
Validation File	`validationFile`	`string`	Select a value from the drop down menu.