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 : 6/13/2022
Model Overview
This model is a fine-tuned version of XLM-RoBERTa-base, specifically designed for token classification tasks in German text, achieving an F1 score of 0.862 on the PAN-X.de dataset.
Model Features
Multilingual Pretraining Foundation
Based on XLM-RoBERTa-base model with strong multilingual understanding capabilities
High-Accuracy Token Classification
Achieves an F1 score of 0.862 on the PAN-X.de German dataset
Transfer Learning Optimization
Adapted for specific token classification tasks through fine-tuning the pretrained model
Model Capabilities
German text token classification
Named Entity Recognition
Sequence Labeling
Use Cases
Natural Language Processing
German Text Entity Recognition
Identify entities such as person names, locations, and organizations in German text
F1 score 0.862
German Text Sequence Labeling
Perform part-of-speech tagging or syntactic analysis on German text
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