A Very Simple Demo of Fine Tuning Sentence Transformers

This repository provides a practical demonstration of how to fine-tune a Sentence Transformer model on a custom dataset and then use the fine-tuned model to generate sentence embeddings. The scripts utilize the PyTorch library and Sentence Transformers for this purpose.

This project is a simple example of how to fine-tune a Sentence Transformer model. It is not designed for large-scale or real-world applications.

To set up and run the example, follow these steps:

1. Clone this repository: git clone https://github.com/adiekaye/fine-tuning-sentence-transformers.git
2. Navigate to the project directory: cd sentence-transformer-tuning
3. Create a virtual environment: python -m venv venv
4. Activate the virtual environment:

• For Windows: venv\Scripts\activate
• For macOS/Linux: source venv/bin/activate

5. Install the required libraries: pip install -r requirements.txt
6. Run the script 01_tuning_your_model.py to fine-tune the model: python 01_tuning_your_model.py
7. Run the script 02_using_your_model.py to use the fine-tuned model: python 02_using_your_model.py
8. To exit the virtual environment, type deactivate in the terminal.

Note: The virtual environment and requirements installation steps are optional but recommended to ensure compatibility and avoid conflicts with other Python packages you may have installed.

• 01_tuning_your_model.py: Script that fine-tunes a Sentence Transformer model on a custom dataset.
• 02_using_your_model.py: Script that uses the fine-tuned Sentence Transformer model to generate sentence embeddings and calculate their cosine similarity.
• requirements.txt: Lists the required libraries for this project.
• README.md: Provides instructions for setting up and running the example, and explains the contents of the repository.
• .gitignore: A simple Git configuration file to ignore the virtual environment directory and other non-essential files.
• /tuned_models: A directory to store your fine tuned models.
• /tuned_models/.gitignore: A gitignore file to make sure you don't accidentally commit your fine tuned model.

The scripts 01_tuning_your_model.py and 02_using_your_model.py are executable as they are. However, you might need to adjust the path of the fine-tuned model in 02_using_your_model.py depending on your directory structure.

The 01_tuning_your_model.py script will train a Sentence Transformer model using the specified training examples and then save the fine-tuned model.

The 02_using_your_model.py script will load the original and the fine-tuned models to generate embeddings for specific sentences, and it will print the cosine similarity between the original and fine-tuned embeddings for each sentence.

This project is licensed under the MIT License.