SciFive: a text-to-text transformer model for biomedical literature

Benchmark Model Rank Results
document-classification-on-hocSciFive-large#3F1: 86.08
drug-drug-interaction-extraction-on-ddiSciFive-large#2F1: 0.8367Micro F1: 83.67
named-entity-recognition-ner-on-jnlpbaSciFive-Large#13F1: 77.55
named-entity-recognition-ner-on-ncbi-diseaseSciFive-Base#3F1: 89.39
named-entity-recognition-on-bc5cdr-chemicalSciFive-Large#2F1: 94.76
named-entity-recognition-on-bc5cdr-diseaseSciFive-Large#3F1: 87.62
named-entity-recognition-on-species-800SciFive-Base#3F1: 76.55
natural-language-inference-on-mednliSciFive-large#2Accuracy: 86.57Params (M): 738
relation-extraction-on-chemprotSciFive Large#4F1: 78
relation-extraction-on-chemprotBioT5X (base)#6F1: 77.40