README.md

---
language: he
tags:
- token-classification
- hebrew
- recipe
- ner
license: mit
---

# Hebrew Recipe Modification NER

DictaBERT-large fine-tuned for recipe modification extraction from Hebrew YouTube comments.
Trained with class weighting (P1) on silver labels from a 3-pass LLM teacher pipeline (v2).

## Labels
- `B/I-SUBSTITUTION` — ingredient substitution
- `B/I-ADDITION` — ingredient addition
- `B/I-QUANTITY` — quantity change
- `B/I-TECHNIQUE` — technique change

## Usage
```python
from transformers import pipeline
pipe = pipeline("token-classification",
                model="DanielDDDS/hebrew-recipe-modification-ner",
                aggregation_strategy="simple")
pipe("אפשר להחליף חמאה בשמן קוקוס")
```

## Performance (corrected gold test set, n=496, 38 spans)
- Exact Entity F1:   25.5%
- Relaxed Entity F1: 62.6%
- Model: DictaBERT-large + linear head, class weights (P1)
- Beats LLM teacher on relaxed F1 (teacher: 48.4%)