Transformer-from-scratch
This demo provides a simple introduction to training a Large Language Model with PyTorch, encapsulated in around 240 lines of code. Taking inspiration from nanoGPT, it demonstrates the training of a 51M parameter model on a 450Kb dataset. Suitable for beginners, this guide includes step-by-step instructions and additional materials that help in understanding transformer-based models. Explore hyperparameter optimization, visualize the training outcomes, and generate text with included examples, all designed for those interested in learning language model architecture from the ground up.
