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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
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