Common Sense Reasoning On Big Bench Logical
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | Accuracy | Paper Title | Repository |
|---|---|---|---|
| Gopher-280B (few-shot, k=5) | 36.4 | Scaling Language Models: Methods, Analysis & Insights from Training Gopher | - |
| Chinchilla-70B (few-shot, k=5) | 64.1 | Training Compute-Optimal Large Language Models | - |
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