Role in this project:
ML Engineer Contributions:27 commits, 2 PRs, 33 pushes in 11 months
Contributions summary:Samuel primarily worked on a transformer sequence-to-sequence model for language translation, likely building a program to translate between different languages. The commits show implementation of core components like embeddings, positional encoding, multi-head attention and feed forward networks and the integration of various libraries like PyTorch and TorchText. The user was involved in setting up the data pipeline using the tokenizers, building vocabularies and pre-processing data.