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  • NVIDIA
    Transformer for PyTorch
    Resource
    NVIDIA
    Transformer for PyTorch

    This implementation of Transformer model architecture is based on the optimized implementation in Fairseq NLP toolkit.

  • Changelog

    January 2019

    • initial commit, forked from fairseq

    May 2019:

    • add mid-training SacreBLEU evaluation. Better handling of OOMs.

    June 2019

    • new README

    July 2019

    • replace custom fused operators with jit functions

    August 2019

    • add basic AMP support

    Known issues

    • Course of a training heavily depends on a random seed. There is high variance in the time required to reach a certain BLEU score. Also the highest BLEU score value observed vary between runs with different seeds.
    • Translations produced by training script during online evaluation may differ from those produced by generate.py script. It is probably a format conversion issue.

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