Logical Reasoning On Winograd Automatic
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | Accuracy | Paper Title | Repository |
|---|---|---|---|
| RuGPT-3 Small | 57.9 | TAPE: Assessing Few-shot Russian Language Understanding | |
| RuGPT-3 Medium | 57.2 | TAPE: Assessing Few-shot Russian Language Understanding | |
| Human benchmark | 87.0 | TAPE: Assessing Few-shot Russian Language Understanding | |
| RuGPT-3 Large | 55.5 | TAPE: Assessing Few-shot Russian Language Understanding |
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