Language translation using an encoder-decoder transformer model trained using distributed data parallel on compute canada clusters. Sample training done on 16 Tesla V100-SXM2-32GB GPUs spread across 4 nodes. To run execute either of the .sh files in the slurm folder using the sbatch command
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Pytorch data distributed parallel (DDP) implementation of a text-based transformer model from scratch.