---
title: DeepSeek-R1-Distill-Qwen-7B_eval_03-07-25_19-30_0981
canonical_url: "https://www.modelscope.cn/datasets/mlfoundations-dev/DeepSeek-R1-Distill-Qwen-7B_eval_03-07-25_19-30_0981"
md_url: "https://www.modelscope.cn/datasets/mlfoundations-dev/DeepSeek-R1-Distill-Qwen-7B_eval_03-07-25_19-30_0981.md"
repository: mlfoundations-dev/DeepSeek-R1-Distill-Qwen-7B_eval_03-07-25_19-30_0981
last_updated: 2025-10-09
license: "Apache License 2.0"
storage_size: "32 MB"
downloads: 286
stars: 0
---

# DeepSeek-R1-Distill-Qwen-7B_eval_03-07-25_19-30_0981

> DeepSeek-R1-Distill-Qwen-7B_eval_03-07-25_19-30_0981 - mlfoundations-dev 在 ModelScope 开源的数据集。mlfoundations-dev/DeepSeek-R1-Distill-Qwen-7Beval03-07-2519-300981

mlfoundations-dev/DeepSeek-R1-Distill-Qwen-7B_eval_03-07-25_19-30_0981 是 ModelScope 魔搭社区上的数据集，存储大小 32 MB，采用 Apache License 2.0 许可。

- **Repository**: mlfoundations-dev/DeepSeek-R1-Distill-Qwen-7B_eval_03-07-25_19-30_0981
- **License**: Apache License 2.0
- **Storage size**: 32 MB
- **Downloads**: 286
- **Stars**: 0
- **Last updated**: 2025-10-09

Source: https://www.modelscope.cn/datasets/mlfoundations-dev/DeepSeek-R1-Distill-Qwen-7B_eval_03-07-25_19-30_0981

---

# mlfoundations-dev/DeepSeek-R1-Distill-Qwen-7B_eval_03-07-25_19-30_0981

Precomputed model outputs for evaluation.


## Evaluation Results

### Summary

| Metric | AIME24 | AIME25 | AMC23 | GPQADiamond | MATH500 |
|--------|------|------|-----|-----------|-------|
| Accuracy | 52.0 | 38.0 | 89.5 | 32.7 | 89.0 |

### AIME24

- **Average Accuracy**: 52.00% ± 4.77%
- **Number of Runs**: 5

| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 50.00% | 15 | 30 |
| 2 | 50.00% | 15 | 30 |
| 3 | 53.33% | 16 | 30 |
| 4 | 70.00% | 21 | 30 |
| 5 | 36.67% | 11 | 30 |

### AIME25

- **Average Accuracy**: 38.00% ± 2.23%
- **Number of Runs**: 5

| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 36.67% | 11 | 30 |
| 2 | 43.33% | 13 | 30 |
| 3 | 36.67% | 11 | 30 |
| 4 | 30.00% | 9 | 30 |
| 5 | 43.33% | 13 | 30 |

### AMC23

- **Average Accuracy**: 89.50% ± 0.84%
- **Number of Runs**: 5

| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 87.50% | 35 | 40 |
| 2 | 92.50% | 37 | 40 |
| 3 | 90.00% | 36 | 40 |
| 4 | 90.00% | 36 | 40 |
| 5 | 87.50% | 35 | 40 |

### GPQADiamond

- **Average Accuracy**: 32.66% ± 6.48%
- **Number of Runs**: 3

| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 23.74% | 47 | 198 |
| 2 | 25.76% | 51 | 198 |
| 3 | 48.48% | 96 | 198 |

### MATH500

- **Accuracy**: 89.00%
| Accuracy | Questions Solved | Total Questions |
|----------|-----------------|----------------|
| 89.00% | 445 | 500 |