README

Fine-Tune Data Generator

Introduction

This project provides tools and scripts for generating JSONL files for fine-tuning GPT models. The goal is to create high-quality datasets that can be used to improve model performance on specific tasks.

Installation

1. Clone the repository:

   git clone https://github.com/awaisakram64/finetune-data-generator.git
   cd finetune-data-generator

2. Install dependencies:

   pip install -r requirements.txt

Usage

1. Preprocess raw data:

   python finetune/data_preprocessing.py --input data/raw --output data/processed

2. Generate JSONL files:

   python finetune/data_generation.py --input data/processed --output data/generated

Contributing

Please read CONTRIBUTING.md for details on our code of conduct and the process for submitting pull requests.

License

This project is licensed under the MIT License - see the LICENSE file for details.