Cross Lingual Natural Language Inference On
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Accuracy |
|---|---|
| better-fine-tuning-by-reducing | 84.7% |
| supervised-learning-of-universal-sentence | 67.7% |
| supervised-learning-of-universal-sentence | 60.3% |