OpenMed PII French BiomedBERT Base 110M v1 French PII Detection Model 110M Parameters Open Source Model Description OpenMed PII French BiomedBERT Base 110M v1 is a transformer based token classification model fine tuned for Personally Identifiable Information (PII) detection in French text . This model identifies and classifies 54 types of sensitive information including names, addresses, social security numbers, medical record numbers, and more. Key Features French Optimized : Specifically trained on French text for optimal performance High Accuracy : Achieves strong F1 scores across diverse PII categories Comprehensive Coverage : Detects 55+ entity types spanning personal, financial, medical, and contact information Privacy Focused : Designed for de identification and compliance with GDPR and other privacy regulations Production Ready : Optimized for real world text processing pipelines Performance Evaluated on the French subset of AI4Privacy dataset: Metric Score : : : Micro F1 0.9466 Precision 0.9428 Recall 0.9504 Macro F1 0.9318 Weighted F1 0.9433 Accuracy 0.9925 Top 10 French PII Models Rank Model F1 Precision Recall : : : : : : : : : 1 OpenMed PII French SuperClinical Large…
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