scienceverse/bibr-parser-v4-5-gold

bibr Parser v4.5 Gold

ModernBERT + feature-gated CRF reference-field parser for bibr's REF_PARSE_STRATEGY=ner path.

Training

• —Encoder: answerdotai/ModernBERT-base
• —Initial checkpoint: parser_giant_v4_fixed/best.pt
• —Fine-tune corpus: data/parser_v4_5_gold
• —Train rows: 16,459
• —Validation rows: 4,031
• —Tags: 39 BIO parser tags
• —Max sequence length: 256
• —Tokenizer convention: add_special_tokens=False

Validation

Best training validation micro entity F1: 0.9653892730.

Same-split compatibility check against bibr's runtime all-zero token features:

bibr's runtime parser should continue passing all-zero token_features, not None, because the feature projection bias is part of the trained forward path.

Files

• —best.pt - PyTorch state dict for FeatureGatedEncoderCRF
• —metrics.json - training validation summary
• —report.txt - per-field validation classification report
• —tag_config.json - tag metadata from bibr_training.tags