create_fine_tuning_job: Create Fine-Tuning Job

In samterfa/openai: Consumes the Open AI API

Create Fine-Tuning Job

Description

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

Usage

create_fine_tuning_job(
  model,
  training_file,
  hyperparameters = NULL,
  suffix = NULL,
  validation_file = NULL,
  return_response = F
)

Arguments

model	(string) The name of the model to fine-tune. You can select one of the supported models. Required
training_file	(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. See the fine-tuning guide for more details. Required
hyperparameters	(object) The hyperparameters used for the fine-tuning job.
suffix	(string or null) A string of up to 18 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-3.5-turbo:openai:custom-model-name:7p4lURel.
validation_file	(string or null) 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.
return_response	(boolean) Whether to return the API response or parse the contents of the response. Defaults to FALSE (parse the response).

See Also

Open AI Documentation

samterfa/openai documentation built on Oct. 9, 2024, 5:18 p.m.