Machine Translation On Aces
평가 지표
Score
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
모델 이름 | Score |
---|---|
aces-translation-accuracy-challenge-sets-for | 19.97 |
aces-translation-accuracy-challenge-sets-for | 11.9 |
aces-translation-accuracy-challenge-sets-for | 15.38 |
aces-translation-accuracy-challenge-sets-for | -0.18 |
aces-translation-accuracy-challenge-sets-for | -0.33 |
aces-translation-accuracy-challenge-sets-for | 11.38 |
aces-translation-accuracy-challenge-sets-for | 19.76 |
aces-translation-accuracy-challenge-sets-for | 16.8 |
aces-translation-accuracy-challenge-sets-for | 15.24 |
aces-translation-accuracy-challenge-sets-for | 13.08 |
aces-translation-accuracy-challenge-sets-for | 17.17 |
aces-translation-accuracy-challenge-sets-for | 10.47 |
aces-translation-accuracy-challenge-sets-for | 14.76 |
aces-translation-accuracy-challenge-sets-for | 14.07 |
aces-translation-accuracy-challenge-sets-for | -3.13 |
aces-translation-accuracy-challenge-sets-for | 16.31 |
aces-translation-accuracy-challenge-sets-for | 17.28 |
aces-translation-accuracy-challenge-sets-for | 13.57 |
aces-translation-accuracy-challenge-sets-for | 15.68 |
aces-translation-accuracy-challenge-sets-for | 12.06 |
aces-translation-accuracy-challenge-sets-for | 19.89 |