Biogpt NER
A biomedical named entity recognition model fine-tuned based on microsoft/biogpt
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Release Time : 4/12/2025
Model Overview
This model is a fine-tuned version of BioGPT on the NCBI disease dataset, specializing in biomedical named entity recognition tasks.
Model Features
Biomedical Domain Optimization
Specially optimized for biomedical texts, capable of effectively identifying disease-related entities
Based on BioGPT Architecture
Leverages the powerful language understanding capabilities of Microsoft's BioGPT for fine-tuning
Efficient Training
Efficient fine-tuning using relatively small training batches (8) and learning rate (2e-05)
Model Capabilities
Biomedical Text Processing
Disease Entity Recognition
Named Entity Recognition
Use Cases
Biomedical Research
Literature Disease Entity Extraction
Automatically identify disease-related entities from biomedical literature
Clinical Record Analysis
Analyze disease mentions in clinical records
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