SciFive-Base

Reported on 2 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing2 results

Named Entity Recognition (NER)onNCBI-disease
F1· 2021-05-28
89.39
best: 89.71 (BioBERT)
SciFive: a text-to-text transformer model for biomedical literature arXiv:2106.03598
Named Entity Recognition (NER)onSpecies-800
F1· 2021-05-28
76.55
best: 80.91 (Spark NLP)
SciFive: a text-to-text transformer model for biomedical literature arXiv:2106.03598