DataWizardd
/

finbert-sentiment-krw-comment-v3

@@ -1,199 +1,75 @@
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 ---
+language: ko
+datasets:
+  - investing_comments_krw
+metrics:
+  - accuracy
+  - precision
+  - recall
+  - f1
+tags:
+  - sentiment-analysis
+  - finance
+  - krw
+  - binary-classification
+  - emotion
+model-index:
+  - name: FinBERT-Sentiment-KRW-Comment (v3)
+    results:
+      - task:
+          type: text-classification
+          name: Sentiment Analysis (Fear vs. Greed)
+        metrics:
+          - type: accuracy
+            value: 0.94
+          - type: precision
+            value: 0.94
+          - type: recall
+            value: 0.94
+          - type: f1
+            value: 0.94
 ---
+# FinBERT-Sentiment-KRW-Comment (v3)
+이 모델은 [`snunlp/KR-FinBERT-SC`](https://huggingface.co/snunlp/KR-FinBERT-SC)를 기반으로 파인튜닝한 한국어 금융 감정 분석 모델입니다.
+특히 **환율(FX) 관련 댓글**에서 나타나는 감정을 **공포(0)** 또는 **욕심(1)** 이진 분류하는 데 목적이 있습니다.
+## 🧾 라벨 정의
+| 라벨 | 설명       |
+|------|------------|
+| 0    | 공포 (Fear) |
+| 1    | 욕심 (Greed) |
+## 🏋️‍♂️ 학습 정보
+- **Base model**: `snunlp/KR-FinBERT-SC`
+- **Task**: 감정 이진 분류 (공포 vs 욕심)
+- **Input**: 한국어 댓글 (`content`)
+- **Output**: 0 또는 1
+- **Training epochs**: 4
+- **Train size**: 약 `X` 개
+- **Eval size**: 약 `X` 개
+- **Evaluation metric**: Accuracy, Precision, Recall, F1
+### 📊 평가 결과 (Test Set 기준)
+| Metric     | Score |
+|------------|-------|
+| Accuracy   | 0.94  |
+| Precision  | 0.94  |
+| Recall     | 0.94  |
+| F1-score   | 0.94  |
+> 공포(0): precision=0.95, recall=0.91, f1=0.93
+> 욕심(1): precision=0.93, recall=0.96, f1=0.94
+## 🧪 사용 예시
+```python
+from transformers import pipeline
+pipe = pipeline("text-classification", model="DataWizardd/finbert-sentiment-krw-comment-v3")
+pipe("심상치 않네요 중동전쟁 발발하고 1월8일에 김정은이 미사일 실험하고 그러면 1170은 기본이고 1190원도 순식간일듯.")
+# → [{'label': '1', 'score': 0.98}]