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Xlm Roberta Base Finetuned Panx De
German token classification model fine-tuned on the xtreme dataset based on XLM-RoBERTa-base
Downloads 25
Release Time : 6/28/2022
Model Overview
This pre-trained model is optimized for German token classification tasks, achieving an F1 score of 0.8621 on the PAN-X.de dataset.
Model Features
Multilingual Pre-training
Based on XLM-RoBERTa-base architecture with multilingual understanding capabilities
German Optimization
Specially fine-tuned and optimized for German text
High Performance
Achieved an F1 score of 0.8621 on the PAN-X.de dataset
Model Capabilities
German text token classification
Named entity recognition
Sequence labeling
Use Cases
Natural Language Processing
German Named Entity Recognition
Identify entities such as person names, locations, and organization names in German text
F1 score 0.8621
Text Analysis
Perform token classification and analysis on German text
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