Create README.md

README.md

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+---
+license: mit
+datasets:
+- CarrotAI/ko-instruction-dataset
+- CarrotAI/Korean-sharegpt-dataset
+- CarrotAI/qa-ko-dataset
+language:
+- ko
+pipeline_tag: text-generation
+---
+
+[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+
+## Model Details
+
+생성한 한국어 데이터셋으로 axolotl을 이용하여 파인튜닝하였습니다.
+
+### Model Description
+
+Qwen/Qwen2-1.5B-Instruct 모델을 이용하여 생성하였습니다.
+
+### LogicKor
+
+default
+
+| Category | Single turn | Multi turn |
+|---|---|---|
+| 추론(Reasoning) | 4.14 | 2.29 |
+| 수학(Math) | 2.43 | 1.14 |
+| 글쓰기(Writing) | 6.43 | 7.86 |
+| 코딩(Coding) | 5.14 | 4.57 |
+| 이해(Understanding) | 5.29 | 4.57 |
+| 문법(Grammar) | 3.71 | 1.29 |
+
+| Category | Score |
+|---|---|
+| Single turn | 4.52 |
+| Multi turn | 3.62 |
+| Overall | 4.07 |
+
+
+
+1-shot
+
+| Category | Single turn | Multi turn |
+|---|---|---|
+| 추론(Reasoning) | 4.14 | 1.43 |
+| 수학(Math) | 2.86 | 1.00 |
+| 글쓰기(Writing) | 5.00 | 4.57 |
+| 코딩(Coding) | 3.14 | 3.43 |
+| 이해(Understanding) | 4.29 | 3.71 |
+| 문법(Grammar) | 2.71 | 1.43 |
+
+| Category | Score |
+|---|---|
+| Single turn | 3.69 |
+| Multi turn | 2.60 |
+| Overall | 3.14 |
+
+cot-1-shot
+| Category | Single turn | Multi turn |
+|---|---|---|
+| 추론(Reasoning) | 3.00 | 2.86 |
+| 수학(Math) | 1.57 | 1.00 |
+| 글쓰기(Writing) | 5.86 | 6.00 |
+| 코딩(Coding) | 4.29 | 4.14 |
+| 이해(Understanding) | 3.43 | 3.43 |
+| 문법(Grammar) | 3.00 | 1.14 |
+
+| Category | Score |
+|---|---|
+| Single turn | 3.52 |
+| Multi turn | 3.10 |
+| Overall | 3.31 |
+
+
+### Applications
+This fine-tuned model is particularly suited for [mention applications, e.g., chatbots, question-answering systems, etc.]. Its enhanced capabilities ensure more accurate and contextually appropriate responses in these domains.
+
+### Limitations and Considerations
+While our fine-tuning process has optimized the model for specific tasks, it's important to acknowledge potential limitations. The model's performance can still vary based on the complexity of the task and the specificities of the input data. Users are encouraged to evaluate the model thoroughly in their specific context to ensure it meets their requirements.
+
+
+```
+@article{Carrot-Ko-2.1B-Instruct,
+  title={CarrotAI/Carrot-Ko-2.1B-Instruct Card},
+  author={CarrotAI (L, GEUN)},
+  year={2024},
+  url = {https://huggingface.co/CarrotAI/Carrot-2.1B-Instruct}
+}