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Xlm Roberta Base Finetuned Panx De
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Xlm Roberta Base Finetuned Panx De

Developed by davidenam
A German token classification model fine-tuned on the xtreme dataset based on XLM-RoBERTa-base
Sequence Labeling
Transformers
Open Source License:MIT#Multilingual NER#German Entity Recognition#XLM-RoBERTa Fine-tuning
Downloads 27
Release Time : 4/28/2022

Model Overview

This model is a fine-tuned version of XLM-RoBERTa-base, specifically designed for German token classification tasks, and performs excellently on the PAN-X.de dataset.

Model Features

Multilingual Support
Based on the XLM-RoBERTa architecture, it has strong cross-lingual understanding capabilities.
High Accuracy
Achieves an F1 score of 0.8626 on the PAN-X.de dataset.
Efficient Fine-tuning
Domain-specific fine-tuning based on pre-trained models saves training resources.

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, place names, and organization names in German text.
F1 score reaches 0.8626
German Text Analysis
Perform token classification on German text to support downstream NLP tasks.
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