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README.md
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---
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language: ko
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license: mit
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tags:
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- kobert
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- stance-detection
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- korean
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- text-classification
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metrics:
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- accuracy
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- f1
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---
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# KoBERT Stance Classifier v2
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한국어 정치 뉴스 스탠스 분류 모델
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## Performance
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| Metric | Score |
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|--------|-------|
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| Test Accuracy | 73.37% |
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| Test F1 (macro) | 0.7336 |
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## Labels
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- 0: 옹호 (Support)
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- 1: 중립 (Neutral)
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- 2: 비판 (Oppose)
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## Usage
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```python
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import torch
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from transformers import AutoTokenizer
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tokenizer = AutoTokenizer.from_pretrained('monologg/kobert', trust_remote_code=True)
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# Load model
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checkpoint = torch.load('pytorch_model.pt', map_location='cpu')
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# model.load_state_dict(checkpoint['model_state_dict'])
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```
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## Training Config
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- Base Model: monologg/kobert
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- Max Length: 256
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- Batch Size: 64
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- Learning Rate: 2e-05
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- Focal Loss: True
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