metadata
license: cc-by-sa-4.0
datasets:
- csitfun/LogiCoT
language:
- en
library_name: transformers
pipeline_tag: text-generation
tags:
- logical
This model is tuned on the LogiCoT data and the GPT-4 alpaca data with the LLaMa-7b model.
We use 2 A100 GPUs
We first instruction-tuning LLaMa-7b on the GPT-4 alpaca data for 3 days, then on the LogiCoT data for 4 days.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 39.37 |
| ARC (25-shot) | 47.01 |
| HellaSwag (10-shot) | 72.56 |
| MMLU (5-shot) | 38.93 |
| TruthfulQA (0-shot) | 43.63 |
| Winogrande (5-shot) | 67.56 |
| GSM8K (5-shot) | 0.0 |
| DROP (3-shot) | 5.92 |