Logical Reasoning On Big Bench Logical
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| Chinchilla-70B (few-shot, k=5) | 72.1 | Training Compute-Optimal Large Language Models | |
| Gopher-280B (few-shot, k=5) | 58.9 | Scaling Language Models: Methods, Analysis & Insights from Training Gopher |
0 of 2 row(s) selected.