Quantization made by Richard Erkhov.
Qwen2.5-0.5B-Instruct-Ja-SFT - bnb 4bits
Original model description:
library_name: transformers
language:
- ja
- en
base_model:
- Qwen/Qwen2.5-0.5B-Instruct
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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
| 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 |
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