machine-learning

Nine Versions of a Redaction Model

I trained my first model to redact PII and PHI on-device: an 11-million-parameter token classifier that fits in 11.3 MB. Nine versions of synthetic data, strict span scoring, and a failure ledger got it to 0.974 full-value recall on my golden set, with the misses still named in the post.