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Bart Large Cnn Finetuned Pubmed
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Bart Large Cnn Finetuned Pubmed

Developed by Kevincp560
A text generation model fine-tuned on medical literature abstract datasets based on BART-large-cnn, excelling in medical abstract generation tasks
Text Generation
Transformers
Open Source License:MIT#Medical Literature Abstracts#High Rouge Scores#BART Fine-tuning
Downloads 126
Release Time : 3/2/2022

Model Overview

This model is a sequence-to-sequence model specifically optimized for medical literature abstract generation, capable of extracting key information from medical texts to produce concise and accurate summaries

Model Features

Medical Domain Optimization
Specially fine-tuned on medical literature abstract datasets, demonstrating better understanding of medical terminology and document structures
High-Quality Abstract Generation
Achieves Rouge1 score of 40.4866 on evaluation sets, capable of generating accurate and coherent medical literature abstracts
BART Architecture Based
Utilizes BART-large-cnn as base model, combining advantages of bidirectional encoding and autoregressive decoding

Model Capabilities

Medical Literature Abstract Generation
Long Text Compression
Key Information Extraction

Use Cases

Medical Research
Automatic Medical Literature Summarization
Generates concise and accurate abstracts for medical research papers
Rouge1 score of 40.4866 indicates high summary quality
Medical Knowledge Extraction
Extracts key information points from lengthy medical literature
Academic Assistance
Rapid Literature Review
Helps researchers quickly grasp core content of large volumes of medical literature
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