Edits history of script submission #5821 for ' Create fine tuning job (openai)'

• nativets

  Ap­pro­ved version

  Edit in Windmill

  Embed

  type Openai = {
    api_key: string;
    organization_id: string;
  };
  /**
   * Create fine tuning job
   * Creates a fine-tuning job which begins the process of creating a new 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.
  
  Learn more about fine-tuning
  
   */
  export async function main(
    auth: Openai,
    body: {
      model: string | ("babbage-002" | "davinci-002" | "gpt-3.5-turbo");
      training_file: string;
      hyperparameters?: {
        batch_size?: "auto" | number;
        learning_rate_multiplier?: "auto" | number;
        n_epochs?: "auto" | number;
        [k: string]: unknown;
      };
      suffix?: string;
      validation_file?: string;
      [k: string]: unknown;
    }
  ) {
    const url = new URL(`https://api.openai.com/v1/fine_tuning/jobs`);
  
    const response = await fetch(url, {
      method: "POST",
      headers: {
        "OpenAI-Organization": auth.organization_id,
        "Content-Type": "application/json",
        Authorization: "Bearer " + auth.api_key,
      },
      body: JSON.stringify(body),
    });
    if (!response.ok) {
      const text = await response.text();
      throw new Error(`${response.status} ${text}`);
    }
    return await response.json();
  }
  

  Submitted by hugo697 372 days ago

• nativets

  Edit in Windmill

  Embed

  type Openai = {
    api_key: string;
    organization_id: string;
  };
  /**
   * Create fine tuning job
   * Creates a fine-tuning job which begins the process of creating a new 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.
  
  Learn more about fine-tuning
  
   */
  export async function main(
    auth: Openai,
    body: {
      model: string | ("babbage-002" | "davinci-002" | "gpt-3.5-turbo");
      training_file: string;
      hyperparameters?: {
        batch_size?: "auto" | number;
        learning_rate_multiplier?: "auto" | number;
        n_epochs?: "auto" | number;
        [k: string]: unknown;
      };
      suffix?: string;
      validation_file?: string;
      [k: string]: unknown;
    }
  ) {
    const url = new URL(`https://api.openai.com/v1/fine_tuning/jobs`);
  
    const response = await fetch(url, {
      method: "POST",
      headers: {
        "OpenAI-Organization": auth.organization_id,
        "Content-Type": "application/json",
        Authorization: "Bearer " + auth.api_key,
      },
      body: JSON.stringify(body),
    });
    if (!response.ok) {
      const text = await response.text();
      throw new Error(`${response.status} ${text}`);
    }
    return await response.json();
  }
  

  Submitted by hugo697 835 days ago

• nativets

  Edit in Windmill

  Embed

  type Openai = {
    api_key: string;
    organization_id: string;
  };
  /**
   * Create fine tuning job
   * 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.
  
  Learn more about fine-tuning
  
   */
  export async function main(
    auth: Openai,
    body: {
      model: string | ("babbage-002" | "davinci-002" | "gpt-3.5-turbo");
      training_file: string;
      hyperparameters?: {
        batch_size?: "auto" | number;
        learning_rate_multiplier?: "auto" | number;
        n_epochs?: "auto" | number;
        [k: string]: unknown;
      };
      suffix?: string;
      validation_file?: string;
      [k: string]: unknown;
    }
  ) {
    const url = new URL(`https://api.openai.com/v1/fine_tuning/jobs`);
  
    const response = await fetch(url, {
      method: "POST",
      headers: {
        "OpenAI-Organization": auth.organization_id,
        "Content-Type": "application/json",
        Authorization: "Bearer " + auth.api_key,
      },
      body: JSON.stringify(body),
    });
    if (!response.ok) {
      const text = await response.text();
      throw new Error(`${response.status} ${text}`);
    }
    return await response.json();
  }
  

  Submitted by hugo697 895 days ago