Question Answering On Danetqa
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Accuracy |
|---|---|
| russiansuperglue-a-russian-language | 0.915 |
| Model 2 | 0.624 |
| Model 3 | 0.82 |
| mt5-a-massively-multilingual-pre-trained-text | 0.657 |
| unreasonable-effectiveness-of-rule-based | 0.503 |
| Model 6 | 0.634 |
| Model 7 | 0.639 |
| Model 8 | 0.61 |
| Model 9 | 0.773 |
| russiansuperglue-a-russian-language | 0.621 |
| Model 11 | 0.637 |
| Model 12 | 0.711 |
| unreasonable-effectiveness-of-rule-based | 0.52 |
| Model 14 | 0.59 |
| Model 15 | 0.606 |
| Model 16 | 0.697 |
| Model 17 | 0.917 |
| Model 18 | 0.604 |
| Model 19 | 0.675 |
| Model 20 | 0.732 |
| Model 21 | 0.712 |
| unreasonable-effectiveness-of-rule-based | 0.642 |