OpenMed PII German BioClinicalBERT 110M v1 German PII Detection Model 110M Parameters Open Source Model Description OpenMed PII German BioClinicalBERT 110M v1 is a transformer based token classification model fine tuned for Personally Identifiable Information (PII) detection in German text . This model identifies and classifies 54 types of sensitive information including names, addresses, social security numbers, medical record numbers, and more. Key Features German Optimized : Specifically trained on German 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 German subset of AI4Privacy dataset: Metric Score : : : Micro F1 0.9316 Precision 0.9257 Recall 0.9376 Macro F1 0.9135 Weighted F1 0.9289 Accuracy 0.9891 Top 10 German PII Models Rank Model F1 Precision Recall : : : : : : : : : 1 OpenMed PII German SuperClinical Large…
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