This token-classification model was fine-tuned from StanfordAIMI/stanford-deidentifier-base using Synthetic Synthea-derived clinical templates. It recognizes three entity types with the BIO labels stored in config.json.

Training examples: 5997

Overall strict seqeval F1: 1.0000

Synthetic templates do not represent every institution, document style, or identifier format. False negatives and false positives are expected. This model assists PHI detection and is not a compliance guarantee or substitute for human review and layered detection controls.