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--- |
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base_model: |
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- Qwen/Qwen2.5-1.5B-Instruct |
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language: |
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- ja |
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- en |
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library_name: transformers |
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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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## Evaluation |
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<!-- This section describes the evaluation protocols and provides the results. --> |
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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/Qwen2.5-1.5B-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 |
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``` |
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| llm-jp-eval| Qwen2.5-1.5B-Instruct |google/gemma-2-2b-jpn-it| finetuning-model | |
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|:-----------|----------------------:|-----------------------:|-----------------------:| |
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| AVG | 0.4343 | 0.4315 | 0.4540 | |
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| CG | 0.0600 | 0.0000 | 0.1500 | |
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| EL | 0.3952 | 0.3222 | 0.4106 | |
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| FA | 0.0690 | 0.0846 | 0.0000 | |
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| HE | 0.4400 | 0.4350 | 0.4300 | |
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| MC | 0.6800 | 0.6000 | 0.6400 | |
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| MR | 0.4700 | 0.4900 | 0.5800 | |
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| MT | 0.6137 | 0.7666 | 0.7915 | |
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| NLI | 0.5500 | 0.5260 | 0.4440 | |
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| QA | 0.2443 | 0.2813 | 0.3054 | |
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| RC | 0.8208 | 0.8097 | 0.7881 | |
