Self-Play Training for Language Models

This repository contains code for training a language model using self-play. Self-play training involves having the model generate text, evaluating that text, and then using the evaluations to update the model's parameters.

Requirements

• Python 3.x
• PyTorch
• Transformers library (Hugging Face)

You can install the required dependencies using the following command:

Usage

1. Clone the repository:
2. Navigate to the cloned directory:
3. Run the training script:

Customization

• You can customize the model and tokenizer by changing the from_pretrained argument in the code.
• Adjust hyperparameters, such as learning rate, batch size, and maximum sequence length, based on your specific use case and dataset.

Contributors

• Your Name

Feel free to contribute by forking the repository and submitting pull requests.

License

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