MC-bio-gliner — lymphoma eCRF (simple supervision)
French biomedical structured extractor (GLiNER2 architecture, ~150M parameters) built on the MedEmbed-v9 sentence-embedding backbone. Fine-tuned on a synthetic lymphoma electronic case report form (eCRF) task with 89 fields.
This checkpoint is the one used to produce the reported scores in the thesis chapter Evaluating Open-Vocabulary Extraction (capstone eCRF).
Results (410-document synthetic test split, value-F1 with field competition)
- value-F1: 0.640\n- span-F1: 0.503
Important note on data
The lymphoma eCRF is entirely synthetic (rntc/lymphome-synth-v4), not real
hospital data. It imitates a longitudinal clinical study form. See the thesis for
the evaluation protocol (validation-selected threshold, test never used for
selection).
Usage
from gliner2 import GLiNER2
model = GLiNER2.from_pretrained("rntc/mc-bio-gliner-lymphome")
Variants
rntc/mc-bio-gliner-lymphome— simple supervision (value-F1 0.640 / span-F1 0.503)rntc/mc-bio-gliner-lymphome-joint— joint supervision (value-F1 0.657)
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