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Autotrain Biomedical Sc Summ 1217846142

Developed by L-macc
This is an abstract generation model trained based on AutoTrain, specifically designed for biomedical scientific literature.
Downloads 13
Release Time : 8/4/2022

Model Overview

The model is trained using the AutoTrain framework, focusing on the task of abstract generation for biomedical scientific literature. It can extract key information from complex scientific texts and generate concise summaries.

Model Features

Specialized Biomedical Abstracts
Optimized specifically for biomedical scientific literature, capable of understanding technical terms and generating accurate abstracts
AutoTrain Framework
Trained using the AutoTrain framework, simplifying the model training process
Environmentally Friendly
CO2 emissions during training were only 16.21 grams, making it relatively eco-friendly

Model Capabilities

Scientific Literature Abstract Generation
Biomedical Text Understanding
Key Information Extraction

Use Cases

Academic Research
Rapid Medical Literature Review
Researchers can use this model to quickly grasp the core content of lengthy medical literature
ROUGE-1 score of 38.23, indicating good abstract quality
Scientific Paper Preprocessing
Automatically generate abstracts for multiple papers during the literature review phase
Average generation length of 130 words, suitable for quick browsing
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