Cross Lingual Natural Language Inference On
المقاييس
Accuracy
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
اسم النموذج | Accuracy | Paper Title | Repository |
|---|---|---|---|
| XLM-R R4F | 84.7% | Better Fine-Tuning by Reducing Representational Collapse | |
| X-BiLSTM | 67.7% | Supervised Learning of Universal Sentence Representations from Natural Language Inference Data | |
| X-CBOW | 60.3% | Supervised Learning of Universal Sentence Representations from Natural Language Inference Data |
0 of 3 row(s) selected.