Xlm Roberta Base Finetuned Panx De
German token classification model fine-tuned on the xtreme dataset based on XLM-RoBERTa-base
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Release Time : 6/29/2022
Model Overview
This pre-trained model is optimized for German text token classification tasks, suitable for sequence labeling tasks such as named entity recognition.
Model Features
Multilingual Pre-training Foundation
Based on XLM-RoBERTa-base model with strong cross-language understanding capabilities
German Optimization
Specifically fine-tuned for German text, excelling in German token classification tasks
High Accuracy
Achieves an F1 score of 0.8627 on the PAN-X.de evaluation set
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 organizations in German text
F1 score 0.8627
Text Information Extraction
Extract structured information from German documents
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