gpt-fine-tune-tools

This repository provides tools and examples for fine-tuning GPT models

prepare_gpt_data.py: Generating User Queries for Training Data

-> GPT Fine-Tuning Data Preparation with prepare_fine_tune_data_gpt_api.py

• This script, prepare_fine_tune_data_gpt_api.py, is designed to streamline the data preparation process for fine-tuning by automatically generating user queries.

The prepare_fine_tune_data_gpt_api.py script simplifies the creation of fine-tuning datasets for GPT models.

Purpose:

• Takes a set of desired assistant responses (your text files).
• Automatically generates plausible user queries that could have led to those responses, using a GPT model.
• Structures the data into the correct JSONL format for OpenAI's fine-tuning API.

This is especially useful when:

• You want to fine-tune a GPT model to mimic a specific writing style or persona based on example outputs.
• You have a collection of ideal assistant responses but need to generate corresponding user inputs.

Usage:

1. Prepare your data:

   • Create a directory containing .txt files.
   • Each file should hold a single example of your desired assistant output.

2. Run the script:

   python prepare_gpt_data.py \
     --persona "Your desired system persona" \
     --data_dir "path/to/your/text/files" \
     --output_file "training_data.jsonl"