xlm-roberta-base-finetuned-panx-de-fr Open Source Model - Free Deployment for German and French Named Entity Recognition

Xlm Roberta Base Finetuned Panx De Fr

Developed by danhsf

A cross-lingual model fine-tuned on German and French datasets based on XLM-RoBERTa-base, primarily used for named entity recognition tasks.

Large Language Model

Transformers

Open Source License:MIT #Multilingual NER #XLM-RoBERTa Fine-tuning #German-French Entity Recognition

Downloads 15

Release Time : 4/10/2022

Model Overview

This model is a fine-tuned version of the XLM-RoBERTa-base architecture on the PANX dataset for German and French, focusing on cross-lingual named entity recognition tasks.

Model Features

Cross-lingual Capability

Supports named entity recognition tasks in German and French.

High Performance

Achieves an F1 score of 0.8582 on the evaluation set.

Based on XLM-RoBERTa

Utilizes the powerful pre-trained cross-lingual model as its foundation.

Model Capabilities

German Named Entity Recognition

French Named Entity Recognition

Cross-lingual Text Processing

Use Cases

Text Processing

Multilingual Document Analysis

Process documents containing German and French text to identify named entities.

Accurately identifies entities in cross-lingual texts.

Multilingual Information Extraction

Extract key information from mixed-language texts.

Training Loss	Epoch	Step	Validation Loss	F1
0.2885	1.0	715	0.1817	0.8287
0.1497	2.0	1430	0.1618	0.8442
0.0944	3.0	2145	0.1667	0.8582

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Xlm Roberta Base Finetuned Panx De Fr

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 xlm-roberta-base-finetuned-panx-de-fr

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🔧 Technical Details

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