|
|
--- |
|
|
license: llama3.2 |
|
|
datasets: |
|
|
- CarrotAI/Magpie-Ko-Pro-AIR |
|
|
- CarrotAI/Carrot |
|
|
- CarrotAI/ko-instruction-dataset |
|
|
language: |
|
|
- ko |
|
|
- en |
|
|
base_model: |
|
|
- meta-llama/Llama-3.2-3B-Instruct |
|
|
pipeline_tag: text-generation |
|
|
new_version: CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct-2412 |
|
|
--- |
|
|
|
|
|
 |
|
|
|
|
|
## Model Description |
|
|
|
|
|
### Model Details |
|
|
- **Name**: Carrot Llama-3.2 Rabbit Ko |
|
|
- **Version**: 3B Instruct |
|
|
- **Base Model**: CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct |
|
|
- **Languages**: Korean, English |
|
|
- **Model Type**: Large Language Model (Instruction-tuned) |
|
|
|
|
|
### Training Process |
|
|
본 모델은 다음과 같은 주요 훈련 단계를 거쳤습니다: |
|
|
|
|
|
1. **SFT (Supervised Fine-Tuning)** |
|
|
- 고품질 한국어 및 영어 데이터셋을 사용하여 기본 모델을 세부 조정 |
|
|
|
|
|
### Limitations |
|
|
- 3B 파라미터 규모로 인한 복잡한 작업에서의 제한적 성능 |
|
|
- 특정 도메인에 대한 깊이 있는 전문성 부족 |
|
|
- 편향성 및 환각 가능성 |
|
|
|
|
|
### Ethics Statement |
|
|
모델 개발 과정에서 윤리적 고려사항을 최대한 반영하였으나, 사용자는 항상 결과를 비판적으로 검토해야 합니다. |
|
|
|
|
|
### How to Use |
|
|
```python |
|
|
from transformers import AutoModelForCausalLM, AutoTokenizer |
|
|
|
|
|
model = AutoModelForCausalLM.from_pretrained("CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct") |
|
|
tokenizer = AutoTokenizer.from_pretrained("CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct") |
|
|
``` |
|
|
|
|
|
## Score |
|
|
|
|
|
|Tasks|Version| Filter |n-shot| Metric | |Value | |Stderr| |
|
|
|-----|------:|----------------|-----:|-----------|---|-----:|---|-----:| |
|
|
|gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.6490|± |0.0131| |
|
|
| | |strict-match | 5|exact_match|↑ |0.0023|± |0.0013| |
|
|
|gsm8k-ko| 3|flexible-extract| 5|exact_match|↑ |0.3275|± |0.0134| |
|
|
| | |strict-match | 5|exact_match|↑ |0.2737|± |0.0134| |
|
|
|ifeval| 4|none | 5|inst_level_loose_acc |↑ |0.8058|± | N/A| |
|
|
| | |none | 5|inst_level_strict_acc |↑ |0.7686|± | N/A| |
|
|
| | |none | 5|prompt_level_loose_acc |↑ |0.7320|± |0.0191| |
|
|
| | |none | 5|prompt_level_strict_acc|↑ |0.6858|± |0.0200| |
|
|
|
|
|
| Tasks |Version|Filter|n-shot| Metric | |Value | |Stderr| |
|
|
|-------------------------------|------:|------|-----:|--------|---|-----:|---|-----:| |
|
|
|haerae | 1|none | |acc |↑ |0.4180|± |0.0148| |
|
|
| | |none | |acc_norm|↑ |0.4180|± |0.0148| |
|
|
| - haerae_general_knowledge | 1|none | 5|acc |↑ |0.3125|± |0.0350| |
|
|
| | |none | 5|acc_norm|↑ |0.3125|± |0.0350| |
|
|
| - haerae_history | 1|none | 5|acc |↑ |0.3404|± |0.0347| |
|
|
| | |none | 5|acc_norm|↑ |0.3404|± |0.0347| |
|
|
| - haerae_loan_word | 1|none | 5|acc |↑ |0.4083|± |0.0379| |
|
|
| | |none | 5|acc_norm|↑ |0.4083|± |0.0379| |
|
|
| - haerae_rare_word | 1|none | 5|acc |↑ |0.4815|± |0.0249| |
|
|
| | |none | 5|acc_norm|↑ |0.4815|± |0.0249| |
|
|
| - haerae_standard_nomenclature| 1|none | 5|acc |↑ |0.4771|± |0.0405| |
|
|
| | |none | 5|acc_norm|↑ |0.4771|± |0.0405| |
|
|
|
|
|
| Tasks |Version|Filter|n-shot| Metric | |Value | |Stderr| |
|
|
|----------------|------:|------|-----:|--------|---|-----:|---|------| |
|
|
|kobest_boolq | 1|none | 5|acc |↑ |0.7664|± |0.0113| |
|
|
| | |none | 5|f1 |↑ |0.7662|± | N/A| |
|
|
|kobest_copa | 1|none | 5|acc |↑ |0.5620|± |0.0157| |
|
|
| | |none | 5|f1 |↑ |0.5612|± | N/A| |
|
|
|kobest_hellaswag| 1|none | 5|acc |↑ |0.3840|± |0.0218| |
|
|
| | |none | 5|acc_norm|↑ |0.4900|± |0.0224| |
|
|
| | |none | 5|f1 |↑ |0.3807|± | N/A| |
|
|
|kobest_sentineg | 1|none | 5|acc |↑ |0.5869|± |0.0247| |
|
|
| | |none | 5|f1 |↑ |0.5545|± | N/A| |
|
|
|kobest_wic | 1|none | 5|acc |↑ |0.4952|± |0.0141| |
|
|
| | |none | 5|f1 |↑ |0.4000|± | N/A| |
|
|
|
