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kobert-emotion – AI Model by M1NJ1 | AlphaNeural AI

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M1NJ1/
kobert-emotion

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📚 데이터셋

KOTE (searle-j/kote)
감정 라벨 수: 44개 (다중 감정, multi-label)

🧠 모델 구조

Pretrained model: monologg/kobert
Classifier: Linear
Loss: BCEWithLogitsLoss
평가 지표:
- macro F1 ≒ 0.50
- micro F1 ≒ 0.60~0.66

📍 예측 예시

python

text = "요즘 너무 외롭고 지쳤어..."
predict_multi(text)
# → ['외로움', '슬픔', '불안']  # 예시 결과