Biobert V1.1 Finetuned Pubmedqa
B
Biobert V1.1 Finetuned Pubmedqa
Developed by blizrys
Biomedical text classification model fine-tuned on PubMedQA dataset based on BioBERT-v1.1
Downloads 112
Release Time : 3/2/2022
Model Overview
This model is a BERT variant optimized for biomedical text classification tasks, achieving 70% accuracy on the PubMedQA evaluation set
Model Features
Biomedical Domain Optimization
Pre-trained on BioBERT with enhanced understanding of biomedical terminology
Efficient Fine-tuning
Fine-tuned on PubMedQA dataset for optimized QA classification tasks
Stable Training
Achieved stable validation accuracy improvement to 70% after 10 training epochs
Model Capabilities
Biomedical Text Classification
Scientific Literature QA Comprehension
Medical Research Abstract Analysis
Use Cases
Medical Research
Medical Literature Classification
Classifying question types for PubMed literature
70% classification accuracy
Research QA System
Core classification component for building medical research QA systems
Featured Recommended AI Models
Š 2025AIbase