---
library_name: transformers
language:
- ja
- en
base_model:
- Qwen/Qwen2.5-0.5B-Instruct
license: apache-2.0
---

# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->



## Model Details



## Evaluation


### llm-jp-eval script(colab)
```
!git clone https://github.com/llm-jp/llm-jp-eval.git
!cd llm-jp-eval && pip install -e .
!cd llm-jp-eval && python scripts/preprocess_dataset.py --dataset-name all --output-dir ./dataset_dir
!cd llm-jp-eval && python scripts/evaluate_llm.py -cn config.yaml model.pretrained_model_name_or_path=jaeyong2/Qwen2.5-0.5B-Instruct-JaMagpie-Preview tokenizer.pretrained_model_name_or_path=jaeyong2/Qwen2.5-0.5B-Instruct-JaMagpie-Preview dataset_dir=./dataset_dir/1.4.1/evaluation/test
```

<!-- These are the evaluation metrics being used, ideally with a description of why. -->

|            | Qwen2.5-0.5B-Instruct | finetuning-model       |
|:-----------|----------------------:|-----------------------:|
| mmlu       |  0.4592               | 0.4614                 |



| llm-jp-eval| Qwen2.5-0.5B-Instruct | finetuning-model       |
|:-----------|----------------------:|-----------------------:|
| AVG        |  0.3037               | 0.3176                 |
| CG         |  0                    | 0                      |
| EL         |  0.2637               | 0.3146                 |
| FA         |  0.0386               | 0.0419                 |
| HE         |  0.2700               | 0.3250                 |
| MC         |  0.4033               | 0.3733                 |
| MR         |  0.0900               | 0.2700                 |
| MT         |  0.6148               | 0.6691                 |
| NLI        |  0.5460               | 0.3180                 |
| QA         |  0.2608               | 0.2791                 |
| RC         |  0.5495               | 0.5847                 |

### License
Qwen/Qwen2.5-0.5B-Instruct : https://choosealicense.com/licenses/apache-2.0/

### Acknowledgement
This research is supported by TPU Research Cloud program.