AIbase
EN
Home
Xlm Roberta Base Finetuned Panx De
X

Xlm Roberta Base Finetuned Panx De

Developed by novarac23
German token classification model fine-tuned on the xtreme dataset based on XLM-RoBERTa-base
Sequence Labeling
Transformers
Open Source License:MIT#German Token Classification#Multilingual Pretraining#High F1 Score
Downloads 17
Release Time : 4/5/2022

Model Overview

This model is a fine-tuned version of XLM-RoBERTa-base optimized for German token classification tasks, primarily used for sequence labeling tasks such as named entity recognition.

Model Features

Multilingual Pretraining Foundation
Based on XLM-RoBERTa-base model with strong multilingual understanding capabilities
German-Specific Optimization
Specifically fine-tuned on German datasets, optimized for German text processing
High-Performance Token Classification
Achieves an F1 score of 0.8627 on the PAN-X.de dataset

Model Capabilities

German text processing
Named entity recognition
Sequence labeling
Token classification

Use Cases

Natural Language Processing
German Named Entity Recognition
Identify entities such as person names, locations, and organizations in German text
Achieves an F1 score of 0.8627 on the PAN-X.de dataset
Information Extraction
Extract structured information from German text
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
EnglishįŽ€äŊ“中文įšéĢ”中文ãĢãģんご
Š 2025AIbase