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

Developed by frahman
A German token classification model fine-tuned on the xtreme dataset based on XLM-RoBERTa-base, designed for named entity recognition tasks.
Sequence Labeling
Transformers
Open Source License:MIT#Multilingual NER#German Entity Recognition#XLM-RoBERTa Fine-tuning
Downloads 25
Release Time : 3/8/2022

Model Overview

This model is a fine-tuned version of XLM-RoBERTa-base, specifically optimized for German named entity recognition tasks. It achieved an F1 score of 0.859 on the PAN-X.de dataset.

Model Features

Multilingual Pretraining Foundation
Based on XLM-RoBERTa-base model, with strong multilingual understanding capabilities
German NER Optimization
Fine-tuned specifically for German named entity recognition tasks
High Performance
Achieved an F1 score of 0.859 on the PAN-X.de dataset

Model Capabilities

German text token classification
Named entity recognition
Sequence labeling

Use Cases

Natural Language Processing
German Text Entity Extraction
Identify entities such as person names, locations, and organization names from German text
F1 score 0.859
Multilingual Text Processing
Used as part of a multilingual text processing pipeline
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