| Benchmark | Model | Rank | Results |
|---|---|---|---|
| natural-language-inference-on-snli | Densely-Connected Recurrent and Co-Attentive Network | – | % Test Accuracy: 88.9% Train Accuracy: 93.1Parameters: 6.7m |
| natural-language-inference-on-snli | Densely-Connected Recurrent and Co-Attentive Network (encoder) | – | % Test Accuracy: 86.5% Train Accuracy: 91.4Parameters: 5.6m |
| natural-language-inference-on-snli | Densely-Connected Recurrent and Co-Attentive Network Ensemble | – | % Test Accuracy: 90.1% Train Accuracy: 95.0Parameters: 53.3m |