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--- |
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library_name: transformers |
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language: |
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- ja |
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- en |
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base_model: |
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- Qwen/Qwen2.5-0.5B-Instruct |
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license: apache-2.0 |
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--- |
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# Model Card for Model ID |
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<!-- Provide a quick summary of what the model is/does. --> |
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## Model Details |
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## Evaluation |
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### llm-jp-eval script(colab) |
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``` |
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!git clone https://github.com/llm-jp/llm-jp-eval.git |
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!cd llm-jp-eval && pip install -e . |
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!cd llm-jp-eval && python scripts/preprocess_dataset.py --dataset-name all --output-dir ./dataset_dir |
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!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 |
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``` |
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<!-- These are the evaluation metrics being used, ideally with a description of why. --> |
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| | Qwen2.5-0.5B-Instruct | finetuning-model | |
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|:-----------|----------------------:|-----------------------:| |
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| mmlu | 0.4592 | 0.4614 | |
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| llm-jp-eval| Qwen2.5-0.5B-Instruct | finetuning-model | |
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|:-----------|----------------------:|-----------------------:| |
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| AVG | 0.3037 | 0.3176 | |
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| CG | 0 | 0 | |
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| EL | 0.2637 | 0.3146 | |
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| FA | 0.0386 | 0.0419 | |
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| HE | 0.2700 | 0.3250 | |
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| MC | 0.4033 | 0.3733 | |
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| MR | 0.0900 | 0.2700 | |
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| MT | 0.6148 | 0.6691 | |
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| NLI | 0.5460 | 0.3180 | |
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| QA | 0.2608 | 0.2791 | |
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| RC | 0.5495 | 0.5847 | |
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### License |
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Qwen/Qwen2.5-0.5B-Instruct : https://choosealicense.com/licenses/apache-2.0/ |
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### Acknowledgement |
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This research is supported by TPU Research Cloud program. |
