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Xlm Roberta Base Finetuned Panx De

Developed by SimulSt
German token classification model fine-tuned on the xtreme dataset based on XLM-RoBERTa-base
Downloads 16
Release Time : 6/15/2022

Model Overview

This model is optimized for German text token classification tasks, based on the XLM-RoBERTa-base architecture and fine-tuned on the PAN-X.de dataset.

Model Features

Multilingual Support
Based on XLM-RoBERTa architecture, capable of processing multilingual text
High-Performance Token Classification
Achieves an F1 score of 0.8621 on the PAN-X.de dataset
Transfer Learning Optimization
Optimized performance for specific tasks through fine-tuning pre-trained models

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, place names, and organization names in German text
F1 score 0.8621
Text Information Extraction
Extract structured information from German text
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