Cross Lingual Natural Language Inference On
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
Modellname | Accuracy |
---|---|
better-fine-tuning-by-reducing | 84.7% |
supervised-learning-of-universal-sentence | 67.7% |
supervised-learning-of-universal-sentence | 60.3% |