fairseq: A Fast, Extensible Toolkit for Sequence Modeling
Table 2: BLEU on news2014 for WMT English-German (En–De) and English-French (En–Fr). All results are based on WMT’14 training data, except for En–De (b), (c), (d) and our models which were trained on WMT’16. Train times based on V100 GPUs.
['[EMPTY]', 'En–De', 'En–Fr']
All results use beam search with a beam width of 4 and length penalty of 0.6, following Vaswani et al. We reported improved BLEU scores over Vaswani et al.