ksatchit / fine-tune

Fine-Tune

Welcome to the Fine-Tune repository! This repository contains code for fine-tuning pre-trained language models using the Hugging Face Transformers library. Fine-tuning allows you to train a pre-trained language model on your specific task or dataset, which can lead to improved performance and better results.

Table of Contents

• Installation
• Usage
• Contributing
• License

Installation

To use Fine-Tune, you need to have Python 3.6 or higher installed on your system. You can install the required dependencies using the following command:

pip install -r requirements.txt

This will install the necessary Python packages such as PyTorch, Transformers, and other dependencies required for fine-tuning language models.

Usage

The Fine-Tune repository provides easy-to-use scripts for fine-tuning pre-trained language models on your specific task or dataset. Here are the general steps to use Fine-Tune:

• Clone the repository:

git clone https://github.com/uditgaurav/fine-tune.git

• Install the required dependencies:

pip install -r requirements.txt

Prepare your data: Fine-tuning requires a labeled dataset for your specific task. You need to preprocess your data and format it according to the input requirements of the pre-trained language model you want to fine-tune.

Fine-tune the model:

• Use the provided scripts fine_tune.py to fine-tune the pre-trained language model on your data. The scripts include options for hyperparameter tuning, model architecture selection, and other customization options.

• Provide the prompts and completions in CSV format in prompts_and_completions.csv file.

Evaluate the fine-tuned model:

• Once the fine-tuning is complete, you can evaluate the performance of the fine-tuned model on your evaluation dataset using the provided evaluation scripts. You can compare the results with the pre-trained model to assess the improvement in performance.

• The sample output is stored in fine_tuned_data.txt file.

Contributing

Contributions to the Fine-Tune repository are welcome! If you find any issues or have suggestions for improvements, please open an issue or submit a pull request. Your contributions will help improve the functionality and usability of the repository.

License

The Fine-Tune repository is open source and is licensed under the MIT License. You are free to use, modify, and distribute the code for personal and commercial purposes, subject to the terms and conditions of the license. Please refer to the license file for more details.

Thank you for using Fine-Tune! Happy fine-tuning of language models!