DanielDDDS/hebrew-recipe-modification-ner

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

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%)