Models / bio-nlp / biomedlm / benchmarks

bio-nlp/biomedlm

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Model cardFilesBenchmarks

BC5CDR chemical NER bio-nlp/bc5cdr-chemical-ner

Drawn from: bc5cdr

atlas-n100-v1

Metric Value 95% CI n Rank Best in catalogue Source Overlap Board
Chemical entity F1 (token probe) ↑ higher is better · probe 0.852 [0.806, 0.891] 100 6 / 16 0.889 reproduced
overlap

Train/test overlap declared by the evaluator: PubMed abstracts

Board
Chemical entity precision (token probe) ↑ higher is better · probe 0.820 [0.749, 0.883] 100 9 / 16 0.870 reproduced
overlap

Train/test overlap declared by the evaluator: PubMed abstracts

Board
Chemical entity recall (token probe) ↑ higher is better · probe 0.885 [0.859, 0.912] 100 4 / 16 0.914 reproduced
overlap

Train/test overlap declared by the evaluator: PubMed abstracts

Board

Clinical entity recognition (MACCROBAT) bio-nlp/clinical-entity-recognition

Drawn from: MACCROBAT_biomedical_ner

atlas-n100-v1

Metric Value 95% CI n Rank Best in catalogue Source Overlap Board
Entity F1, 3 types (token probe) ↑ higher is better · probe 0.464 [0.397, 0.537] 100 14 / 16 0.724 reproduced
overlap

Train/test overlap declared by the evaluator: PubMed Central full text

Board
Entity precision, 3 types (token probe) ↑ higher is better · probe 0.433 [0.367, 0.502] 100 14 / 16 0.709 reproduced
overlap

Train/test overlap declared by the evaluator: PubMed Central full text

Board
Entity recall, 3 types (token probe) ↑ higher is better · probe 0.500 [0.424, 0.585] 100 12 / 16 0.739 reproduced
overlap

Train/test overlap declared by the evaluator: PubMed Central full text

Board
Entity macro F1, 3 types (token probe) ↑ higher is better · probe · secondary 0.453 [0.381, 0.520] 100 — 0.728 reproduced
overlap

Train/test overlap declared by the evaluator: PubMed Central full text

Board

PubMedQA accuracy bio-nlp/pubmedqa-accuracy

Drawn from: PubMedQA

atlas-full-v1

Metric Value 95% CI n Rank Best in catalogue Source Overlap Board
Accuracy (option log-likelihood) ↑ higher is better · zero-shot 0.508 [0.478, 0.538] 500 2 / 2 0.622 reproduced
overlap

Train/test overlap declared by the evaluator: PubMed abstracts

Board
Macro F1 (option log-likelihood) ↑ higher is better · zero-shot 0.280 [0.255, 0.306] 500 2 / 2 0.430 reproduced
overlap

Train/test overlap declared by the evaluator: PubMed abstracts

Board
Accuracy (logistic probe) ↑ higher is better · probe 0.560 [0.524, 0.598] 500 4 / 17 0.576 reproduced
overlap

Train/test overlap declared by the evaluator: PubMed abstracts

Board
Macro F1 (logistic probe) ↑ higher is better · probe 0.419 [0.372, 0.468] 500 2 / 17 0.444 reproduced
overlap

Train/test overlap declared by the evaluator: PubMed abstracts

Board

Spanish occupation entity recognition (ProfNER) bio-nlp/spanish-occupation-entity-recognition

Drawn from: ProfNER_corpus_NER

atlas-n100-v1

Metric Value 95% CI n Rank Best in catalogue Source Overlap Board
Entity F1, PROFESION + SITUACION_LABORAL (token probe) ↑ higher is better · probe 0.603 [0.427, 0.754] 100 2 / 16 0.630 reproduced none declared Board
Entity precision, PROFESION + SITUACION_LABORAL (token probe) ↑ higher is better · probe 0.733 [0.540, 0.879] 100 4 / 16 1.000 reproduced none declared Board
Entity recall, PROFESION + SITUACION_LABORAL (token probe) ↑ higher is better · probe 0.512 [0.340, 0.697] 100 2 / 16 0.535 reproduced none declared Board
Entity macro F1, PROFESION + SITUACION_LABORAL (token probe) ↑ higher is better · probe · secondary 0.314 [0.233, 0.741] 100 — 0.329 reproduced none declared Board