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Xlm Roberta Base Finetuned Panx De
This model is a fine-tuned version of xlm-roberta-base on the xtreme dataset for German token classification tasks.
Downloads 14
Release Time : 3/2/2022
Model Overview
This is an XLM-RoBERTa model fine-tuned for German token classification tasks, demonstrating excellent performance on the PAN-X.de dataset.
Model Features
Multilingual Support
Based on the XLM-RoBERTa architecture, capable of handling multilingual tasks
High Performance
Achieved an F1 score of 0.8647 on the PAN-X.de dataset
Fine-tuning Optimization
Specially optimized for German token classification tasks
Model Capabilities
Token Classification
German Text Processing
Sequence Labeling
Use Cases
Natural Language Processing
Named Entity Recognition
Identify entities such as person names, locations, and organizations in German text
F1 score reached 0.8647
Part-of-Speech Tagging
Perform part-of-speech tagging on German text
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