Open-source model xlm-roberta-base-finetuned-panx-de - Efficiently complete German tagging and classification tasks

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Xlm Roberta Base Finetuned Panx De

Developed by KayKozaronek

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-precision NER

Downloads 15

Release Time : 6/23/2022

Model Overview

This model is an optimized fine-tuned version of XLM-RoBERTa-base for German text token classification tasks, primarily used for sequence labeling tasks.

Model Features

Multilingual Support

Based on the XLM-RoBERTa architecture, capable of processing multilingual text

High-performance Token Classification

Excellent performance in German token classification tasks, achieving an F1 score of 0.862

Transfer Learning

Pre-trained on a large multilingual corpus and then fine-tuned for specific tasks

Model Capabilities

German text token classification

Sequence labeling

Named entity recognition

Use Cases

Natural Language Processing

German Named Entity Recognition

Identify entities such as person names, place names, and organization names in German text

F1 score 0.862

Text Analysis

Perform token classification and analysis on German text

Property	Details
Model Type	xlm - roberta - base - finetuned - panx - de
Training Data	xtreme
Metrics	F1, Accuracy, Precision, Recall, Loss

Task	Dataset	Metrics	Value
Token Classification	xtreme (PAN - X.de)	F1	0.8620945214069894
Token Classification (test split)	xtreme (PAN - X.de)	Accuracy	0.899981559318585
Token Classification (test split)	xtreme (PAN - X.de)	Precision	0.9009035072102546
Token Classification (test split)	xtreme (PAN - X.de)	Recall	0.9206610317249744
Token Classification (test split)	xtreme (PAN - X.de)	F1	0.9106751198809252
Token Classification (test split)	xtreme (PAN - X.de)	Loss	0.3754884600639343

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

Model Features

Model Capabilities

Use Cases

🚀 xlm-roberta-base-finetuned-panx-de

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Model Information

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