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Bart German
B
Bart German
Developed by Shahm
A German abstract generation model fine-tuned on the mlsum de dataset based on facebook/bart-base
Downloads 151
Release Time : 3/2/2022
Model Overview
This model is a BART variant optimized for German text summarization tasks, fine-tuned on the mlsum de dataset, capable of generating high-quality German text summaries.
Model Features
German Abstract Generation
Summarization capability specifically optimized for German texts
BART-based Architecture
Utilizes the BART-base architecture, combining the advantages of bidirectional encoder and autoregressive decoder
High-quality Results
Achieved an excellent Rouge1 score of 41.698 on the mlsum de test set
Model Capabilities
German Text Understanding
Text Summarization
Natural Language Processing
Use Cases
News Summarization
Automatic German News Summarization
Automatically generates concise summaries for German news articles
Rouge1 score of 41.698 indicates good summarization quality
Document Processing
German Long Document Summarization
Generates key information summaries for long German documents
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