metadata
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).