Common Sense Reasoning On Big Bench Known
평가 지표
Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Accuracy | Paper Title | Repository |
|---|---|---|---|
| Gopher-280B (few-shot, k=5) | 63.6 | Scaling Language Models: Methods, Analysis & Insights from Training Gopher | |
| PaLM-540B (few-shot, k=5) | 73.9 | PaLM: Scaling Language Modeling with Pathways | |
| Chinchilla-70B (few-shot, k=5) | 65.2 | Training Compute-Optimal Large Language Models |
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