A model for detecting gene disease associations from abstracts. The model classifies as 0 for no association, or 1 for some association.
This model is a fine-tuned version of
microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext on the
RENET2 dataset. Note that this considers only the abstract data, and not the full text information, from RENET2.
The abstract dataset from RENET2 was split into 85% train, 15% evaluation being grouped by PMIDs and stratified by labels. That is, no data from the same PMID was seen in multiple both the training and the evaluation set.
