---
base_model:
- Qwen/Qwen2.5-1.5B-Instruct
language:
- ja
- en
library_name: transformers
---

# Model Card for Model ID

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


## Evaluation

<!-- This section describes the evaluation protocols and provides the results. -->
### 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/Qwen2.5-1.5B-Instruct-JaMagpie-Preview tokenizer.pretrained_model_name_or_path=jaeyong2/Qwen2.5-1.5B-Instruct-JaMagpie-Preview dataset_dir=./dataset_dir/1.4.1/evaluation/test
```

| llm-jp-eval| Qwen2.5-1.5B-Instruct |google/gemma-2-2b-jpn-it| finetuning-model       |
|:-----------|----------------------:|-----------------------:|-----------------------:|
| AVG        |  0.4343               | 0.4315                 | 0.4501                 |
| CG         |  0.0600               | 0.0000                 | 0.1100                 |
| EL         |  0.3952               | 0.3222                 | 0.4197                 |
| FA         |  0.0690               | 0.0846                 | 0.0542                 |
| HE         |  0.4400               | 0.4350                 | 0.4600                 |
| MC         |  0.6800               | 0.6000                 | 0.6433                 |
| MR         |  0.4700               | 0.4900                 | 0.5900                 |
| MT         |  0.6137               | 0.7666                 | 0.6394                 |
| NLI        |  0.5500               | 0.5260                 | 0.5360                 |
| QA         |  0.2443               | 0.2813                 | 0.2606                 |
| RC         |  0.8208               | 0.8097                 | 0.7881                 |