Cross Lingual Natural Language Inference On 3
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Accuracy |
|---|---|
| better-fine-tuning-by-reducing | 84.2% |
| bert-pre-training-of-deep-bidirectional | 70.5% |
| supervised-learning-of-universal-sentence | 67.7% |
| supervised-learning-of-universal-sentence | 61.0% |