Cross Lingual Question Answering On Mlqa
Métriques
EM
F1
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | EM | F1 | Paper Title | Repository |
|---|---|---|---|---|
| ByT5 XXL | 54.9 | 71.6 | ByT5: Towards a token-free future with pre-trained byte-to-byte models | |
| Decoupled | - | 53.1 | Rethinking embedding coupling in pre-trained language models | |
| Coupled | 37.3 | 53.1 | Rethinking embedding coupling in pre-trained language models |
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