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--- |
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base_model: |
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- Qwen/Qwen2.5-3B-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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## 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/Qwen2.5-0.5B-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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| llm-jp-eval| Qwen2.5-3B-Instruct | finetuning-model | |
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|:-----------|----------------------:|-----------------------:| |
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| AVG | 0.4921 | 0.4895 | |
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| CG | 0.1000 | 0 | |
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| EL | 0.4770 | 0.4431 | |
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| FA | 0.1210 | 0.1246 | |
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| HE | 0.5550 | 0.5650 | |
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| MC | 0.7133 | 0.7900 | |
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| MR | 0.5400 | 0.6100 | |
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| MT | 0.6391 | 0.5982 | |
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| NLI | 0.6640 | 0.6640 | |
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| QA | 0.2638 | 0.3165 | |
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| RC | 0.8481 | 0.7837 | |
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### Testing Data, Factors & Metrics |
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#### Testing Data |
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<!-- This should link to a Dataset Card if possible. --> |
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[More Information Needed] |
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#### Factors |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> |
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[More Information Needed] |
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#### Metrics |
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<!-- These are the evaluation metrics being used, ideally with a description of why. --> |
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[More Information Needed] |
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### Results |
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[More Information Needed] |
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#### Summary |
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## Model Examination [optional] |
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<!-- Relevant interpretability work for the model goes here --> |
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[More Information Needed] |
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## Environmental Impact |
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> |
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). |
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- **Hardware Type:** [More Information Needed] |
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- **Hours used:** [More Information Needed] |
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- **Cloud Provider:** [More Information Needed] |
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- **Compute Region:** [More Information Needed] |
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- **Carbon Emitted:** [More Information Needed] |
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## Technical Specifications [optional] |
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### Model Architecture and Objective |
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[More Information Needed] |
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### Compute Infrastructure |
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[More Information Needed] |
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#### Hardware |
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[More Information Needed] |
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#### Software |
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[More Information Needed] |
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## Citation [optional] |
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> |
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**BibTeX:** |
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[More Information Needed] |
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**APA:** |
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[More Information Needed] |
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## Glossary [optional] |
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> |
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[More Information Needed] |
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## More Information [optional] |
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[More Information Needed] |
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## Model Card Authors [optional] |
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[More Information Needed] |
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## Model Card Contact |
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[More Information Needed] |
