xlm-roberta-base-finetuned-panx-de Open-source Model - Free Deployment to Support German Tagging Classification

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Xlm Roberta Base Finetuned Panx De

Developed by ArneD

German token classification model fine-tuned on the xtreme dataset based on XLM-RoBERTa-base

Sequence Labeling

Transformers

Open Source License:MIT #Multilingual Tag Classification #German Entity Recognition #High F1-score Model

Downloads 25

Release Time : 7/6/2022

Model Overview

This pre-trained model is optimized for German text token classification tasks, achieving an F1-score of 0.8621 on the PAN-X.de dataset.

Model Features

Multilingual Pre-training Foundation

Based on XLM-RoBERTa-base model with strong multilingual understanding capabilities

German Optimization

Specially fine-tuned and optimized for German text

High Performance

Achieves an F1-score of 0.8621 on the PAN-X.de dataset

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, locations, and organizations in German text

F1-score 0.8621

Text Information Extraction

Extract structured information from German text

Property	Details
Model Type	xlm - roberta - base - finetuned - panx - de
Training Data	xtreme
Metrics	F1

Training Loss	Epoch	Step	Validation Loss	F1
0.2575	1.0	525	0.1621	0.8292
0.1287	2.0	1050	0.1378	0.8526
0.0831	3.0	1575	0.1372	0.8621

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Xlm Roberta Base Finetuned Panx De

Model Overview

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