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 : 3/5/2022
Model Overview
This model is a fine-tuned version of XLM-RoBERTa-base optimized for token classification tasks in German text, primarily used for sequence labeling tasks such as named entity recognition.
Model Features
Multilingual Pretraining Foundation
Based on the XLM-RoBERTa-base model with strong cross-lingual representation capabilities
German-Specific Optimization
Fine-tuned specifically on the German dataset (PAN-X.de), suitable for German text processing
High-Performance Token Classification
Achieves an F1 score of 0.8595 on the evaluation set, demonstrating excellent performance
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 0.8595
Information Extraction
Extract structured information from German text
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