Train LLM From Scratch

I completed a complete LLM training project, from downloading the training data set to using the trained model to generate text, the entire process is included. Currently supports the PILE dataset, a diverse dataset for LLM training. You can limit dataset size, customize the default Transformer architecture and training configuration, and more.

This is an example of text generated by my LLM with 13 million parameters trained on Colab T4 GPU:

In ****1978, the park was returned to the factory - the public areas were separated by electric fences, which were built immediately following the city where the station was located. Canals in ancient Western countries were restricted to urban areas. China's villages are directly connected to cities, sparking protests over the U.S. budget, while the future of Odambinais is uncertain, with wealth concentrated in rural areas.

This project focuses more on the learning process rather than immediately creating the best AI.

Code, documentation and examples are all available on GitHub:

GitHub link

The above is the detailed content of Train LLM From Scratch. For more information, please follow other related articles on the PHP Chinese website!