---
license: apache-2.0
language:
- fa
metrics:
- accuracy
base_model:
- HooshvareLab/bert-fa-base-uncased
---

# Hamnevise
Persian Diacritization using masked-language model(MLM) with`HooshvareLab/bert-fa-base-uncased` for the words with same written form but different spelling in a given sentence.

**Architecture:**
```
Input → ParsBERT (context) + Char CNN (morphology)
     → Shared Fusion
     → Word-Specific Classifiers
     → Only valid outputs per word
```

## 📊 Dataset Format
CSV file with three columns:

```csv
sentence,word,word_with_diacritics
اشکال در سیستم گرمایش، باعث سرد شدن ساختمان شد.,اشکال,اِشکال
اشکال در فرهنگ‌های باستانی، نمادها و معانی خاصی داشته‌اند.,اشکال,اَشکال
```


## Trainings

v1.0 training stats:

Worst performing words
- سمت — 82.52%
- نکشن — 82.83%
- نکشه — 84.38%
- نکشم — 85.94%
- بکشیمش — 87.50%

Epoch 15/15 - Train Loss: 0.0667, Train Acc: 0.9781 - Val Loss: 0.0974, Val Acc: 0.9755

🎉 Training complete! Best validation accuracy: 0.9770