metadata
license: other
language:
- zh
- en
datasets:
- thomas-yanxin/MT-SFT-ShareGPT
The main purpose of this model is to validate the usability of thomas-yanxin/MT-SFT-ShareGPT, i.e., the quality of the data is all you need. We found that when we meticulously extract the data through a better data governance approach, the corresponding model results can be vastly improved, even if only through SFT.
Here are the results from our OpenCompass evaluation：
| Classification | Benchmarks | Models |
|---|---|---|
| 名称 | XinYuan-Qwen2-7B | |
| English | MMLU | 68.71 |
| MMLU-Pro | 30.56 | |
| Theorem QA | 25.3 | |
| GPQA | 29.2 | |
| BBH | 60.3 | |
| IFEval (Prompt Strict-Acc.) | 39.2 | |
| ARC-C | 87.5 | |
| Math | GSM8K | 75.4 |
| MATH | 34.76 | |
| Chinese | C-EVAL | 82.0 |
| CMMLU | 77.9 | |
| Code | MBPP | 50.6 |
| HumanEval | 70.1 |