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Xlm Roberta Base Finetuned Panx De
A token classification model fine-tuned on the PAN-X German dataset based on XLM-RoBERTa-base
Downloads 18
Release Time : 5/31/2022
Model Overview
This model is a token classification model optimized for German text named entity recognition tasks, based on the XLM-RoBERTa architecture and fine-tuned on the PAN-X German dataset.
Model Features
Multilingual Pretraining Foundation
Based on XLM-RoBERTa architecture with strong multilingual understanding capabilities
Optimized for German NER
Specifically fine-tuned for German text named entity recognition tasks
High-Performance F1 Score
Achieves an F1 score of 0.8627 on the PAN-X German test set
Model Capabilities
German text processing
Named entity recognition
Token classification
Use Cases
Natural Language Processing
German Text Entity Extraction
Identify and classify named entities (such as person names, locations, organizations, etc.) from German text
F1 score 0.8627
German Document Information Extraction
Process German documents to extract structured information
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