Building an English-to-Tamil Translation Model from Scratch in PyTorch
A detailed mathematical guide to constructing the Transformer architecture from the ground up.
1Transformer 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.
2Technical 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.
3Mathematical Explanations
The blog post details every equation in the Transformer, providing a valuable resource for those looking to understand how the model works.
4Code Sharing
The entire project code is shared on GitHub, allowing developers to examine and use the model in their own projects.
5Community Feedback
The developer is open to feedback and questions from the community, which will help further improve the project.
6Translation Technologies
This project serves as a practical example for those interested in understanding how language translation technologies work, showcasing the potential of Transformer models.
Original article: r/MachineLearning — PyTorch ile Sıfırdan İngilizce-Tamilce Çeviri Modeli