A high-capacity Transformer model for English → Japanese translation, trained on 1 Million sentence pairs from the Sampuran dataset. This model balances high capacity ($pprox 65$ Million parameters) with aggressive regularization (Dropout $\mathbf0.45$) to ensure generalization across a large dataset.

The model can be loaded and used for inference with the included tokenizers.