Natural Language Inference On Multinli Dev
Metrics
Matched
Mismatched
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Matched | Mismatched |
|---|---|---|
| prune-once-for-all-sparse-pre-trained | 78.8 | 80.4 |
| prune-once-for-all-sparse-pre-trained | 81.4 | 82.51 |
| prune-once-for-all-sparse-pre-trained | 82.71 | 83.67 |
| prune-once-for-all-sparse-pre-trained | 80.68 | 81.47 |
| prune-once-for-all-sparse-pre-trained | 80.66 | 81.14 |
| prune-once-for-all-sparse-pre-trained | 83.74 | 84.2 |
| prune-once-for-all-sparse-pre-trained | 81.45 | 82.43 |
| 190910351 | 84.5 | 84.5 |
| prune-once-for-all-sparse-pre-trained | 83.47 | 84.08 |
| prune-once-for-all-sparse-pre-trained | 81.35 | 82.03 |