Model: chrisvoncsefalvay/CRAG-dual-encoder-ade
Author: chrisvoncsefalvay
Pipeline: text-classification
Tags: pytorch, medical, biomedical, drug-safety, adverse-drug-reactions, pharmacovigilance, relation-extraction, dual-encoder, clinical-nlp, biolinkbert, entity-markers, hard-negative-mining, focal-loss, text-classification, en, dataset:ade-benchmark-corpus/ade_corpus_v2, license:apache-2.0, model-index, region:us
Card metadata: license: apache-2.0
language: en
tags: medical, biomedical, drug-safety, adverse-drug-reactions, pharmacovigilance, relation-extraction, dual-encoder, clinical-nlp, biolinkbert, entity-markers, hard-negative-mining, focal-loss
datasets: ade-benchmark-corpus/ade_corpus_v2
metrics: f1, roc_auc
pipeline_tag: text-classification
model-index: name: CRAG-dual-encoder-ade
results: task: type: text-classification
name: Drug-ADR Relation Extraction
dataset: name: ADE Corpus V2
type: ade-benchmark-corpus/ade_corpus_v2
config: Ade_corpus_v2_drug_ade_relation
metrics: type: f1
value: 0.975
name: F1 Score
verified: no, type: roc_auc
value: 0.991
name: ROC-AUC
verified: no
Likes: 0 | All-time downloads: 45
Created: 2025-12-19 13:19:34