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Bart Large Finetuned Pubmed

Developed by Kevincp560
A text generation model fine-tuned on biomedical paper abstract datasets based on the BART-large architecture
Text Generation
Transformers
Open Source License:Apache-2.0#Biomedical Abstract Generation#Paper Abstract Fine-tuning#Rouge Optimization
Downloads 20
Release Time : 3/2/2022

Model Overview

This model is specifically optimized for biomedical paper abstract generation tasks, capable of generating relevant summaries from input texts.

Model Features

Biomedical Domain Optimization
Fine-tuned specifically on biomedical paper abstract datasets, achieving better generation performance in this field.
Based on BART-large Architecture
Utilizes the powerful BART-large pre-trained model as its foundation, offering excellent text comprehension and generation capabilities.

Model Capabilities

Text Summary Generation
Biomedical Text Processing
Automated Paper Abstract Generation

Use Cases

Academic Research
Paper Abstract Generation
Automatically generates concise and accurate abstracts for biomedical research papers.
Achieved a Rouge1 score of 10.946 on the evaluation dataset.
Literature Management
Automated Literature Summarization
Helps researchers quickly obtain summary information from large volumes of literature.
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