# Building an English-to-Tamil Translation Model from Scratch in PyTorch A detailed mathematical guide to constructing the Transformer architecture from the ground up. - **Source:** [r/MachineLearning](https://www.reddit.com/r/MachineLearning) - **Published:** 2026-07-27 - **Topic:** [Data & AI](https://brifing.si/c/data-ai) - **Original article:** - **On Brifing:** https://brifing.si/s/eaf47fc7-ca6f-4233-99eb-c5182859493e ## Transformer Architecture In this project, the Transformer architecture from the original 'Attention Is All You Need' paper was built from scratch using PyTorch. The model was specifically trained for English-to-Tamil translation, with each step mathematically explained. ## Technical Details The project was trained on Kaggle using two NVIDIA T4 GPUs and a parallel translation dataset from Hugging Face. Tensor shape transformations and each PyTorch block were explained step by step. ## Mathematical Explanations The blog post details every equation in the Transformer, providing a valuable resource for those looking to understand how the model works. ## Code Sharing The entire project code is shared on GitHub, allowing developers to examine and use the model in their own projects. ## Community Feedback The developer is open to feedback and questions from the community, which will help further improve the project. ## Translation Technologies This project serves as a practical example for those interested in understanding how language translation technologies work, showcasing the potential of Transformer models. ## Sources covering this story - https://www.reddit.com/r/MachineLearning/comments/1v86qo9/built_trained_a_transformer_from_scratch_in_pure/ — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._