---
license: mit
datasets:
- creisle/CIViC-Fact-2025.03.25
language:
- en
base_model:
- microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext
tags:
- bionlp

model-index:
- name: BioMedBERT-CIViC-Fact-2025.03.25
  results:
  - task:
      type: text-classification             
      name: claim-verification             
    dataset:
      type: creisle/CIViC-Fact-2025.03.25          
      name: CIViC-Fact          
      split: dev        
    metrics:
      - type: accuracy         
        value: 86       
---

This model was trained using the CIViC-Fact dataset (v2025.03.25) and evaluated based on stance classification accuracy (NEI, SUPPORTS, REFUTES).