TransformerFromScratch

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Setup

Setup the local development environment using

./scripts/setup_env.sh # Create virtual env & download dependenciessource .venv/bin/activate # Activate it

Exercise

• notebooks/transformer_from_scratch_exercise.ipynb contains a practice notebook to build a transformer from scratch by filling in missing portions of the code. It's a good way to review your knowledge of Transformers.

• The solution is in notebooks/transformer_from_scratch_solution.ipynb.

Training

Training for the GPU poor T_T

1. Upload the notebooks/train_model.ipynb notebook into colab (or kaggle) and run on GPU

If you're GPU self-sufficient you can run locally:

1. Login to huggingface with huggingface-cli login
2. Run python transformer/train.py

Acknowledgements

A variety of resources that really helped us out in understanding and implementing the Transformer model

• Attention Is All You Need
• Coding a Transformer from scratch on PyTorch, with full explanation, training and inference by Umar Jamil
• The Annotated Transformer
• Visualizing Attention, a Transformer's Heart by 3Blue1Brown
• Understanding and Coding the Self-Attention Mechanism of Large Language Models From Scratch by Sebastian Raschka
• Self Attention in Transformer Neural Networks (with Code!) by CodeEmporium
• Visualizing attention matrix using BertViz