| Benchmark | Model | Rank | Results |
|---|---|---|---|
| natural-language-inference-on-snli | 2400D Multiple-Dynamic Self-Attention Model | #29 | % Test Accuracy: 87.4% Train Accuracy: 89.0Parameters: 7.0m |
| natural-language-inference-on-snli | 600D Dynamic Self-Attention Model | #33 | % Test Accuracy: 86.8% Train Accuracy: 87.3Parameters: 2.1m |