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README.md
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## Key Features
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- 🎯 **Specialized for Municipal Topics**: Fine-tuned on Portuguese council meeting minutes discussion subjects
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- 🧠 **Large Transformer Model**:
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- 📊 **Multi-Label Classification**: Identifies multiple co-occurring topics per subject
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- ⚡ **Dynamic Thresholds**: Optimized per-label classification thresholds (not fixed 0.5)
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- 🇵🇹 **Portuguese-Native**: Built on BERTimbau, pre-trained on Brazilian Portuguese corpus
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## Key Features
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| 28 |
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| 29 |
- 🎯 **Specialized for Municipal Topics**: Fine-tuned on Portuguese council meeting minutes discussion subjects
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| 30 |
+
- 🧠 **Large Transformer Model**: 335M parameters (24 layers, 1024 hidden dim, 16 attention heads)
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- 📊 **Multi-Label Classification**: Identifies multiple co-occurring topics per subject
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| 32 |
- ⚡ **Dynamic Thresholds**: Optimized per-label classification thresholds (not fixed 0.5)
|
| 33 |
- 🇵🇹 **Portuguese-Native**: Built on BERTimbau, pre-trained on Brazilian Portuguese corpus
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