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Fix PERCENT misclassification, add rule-based entity fallback, fix Docker port
bkalyankrishnareddy +1: Claude Sonnet 4.6- predict.py: 3-phase post-processor (fallback patterns, basis-point context fix, span extension for currency prefix/unit suffix); handles +/~/>/< prefixes, Unicode minus, bps/ppts/percentage-points, signed values; drops Nx multiplier false positives; trailing-punct stripping; source field on entities - train.py: PERCENT class upweighting (percent_weight=3.0) and oversampling (percent_oversample_factor=3) to counter 15:1 MONEY:PERCENT training imbalance - schemas.py: expose source field on EntitySpan - docker-compose.yml: fix port mapping 8000:8000 → 8000:7860 (app runs on 7860) - deploy_hf_space.py: add --force push for first deploy to existing Space Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>a8c4f91
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Initial release: FinNER financial NER — test F1 0.8388
bkalyankrishnareddy +1: Claude Sonnet 4.6Fine-tuned bert-base-uncased on FiNER-139 (SEC filings). Includes: data pipeline, training loop with ablations, seqeval evaluation, FastAPI inference server, dark-theme frontend dashboard, Docker image. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>ba19370