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Xlm Roberta Base Finetuned Panx De Fr

Developed by haesun
A fine-tuned version of the XLM-RoBERTa-base model on German and French datasets, primarily used for sequence labeling tasks.
Downloads 15
Release Time : 7/4/2022

Model Overview

This model is a fine-tuned version of XLM-RoBERTa-base on multilingual datasets, specifically optimized for German and French, suitable for natural language processing tasks such as text classification and named entity recognition.

Model Features

Multilingual Support
Specifically optimized for German and French, making it suitable for text tasks in these two languages.
Efficient Fine-tuning
Fine-tuned for 3 epochs on the base model, achieving an F1 score of 0.8559, demonstrating excellent performance.
Transfer Learning Capability
Based on the powerful XLM-RoBERTa pre-trained model, it possesses strong transfer learning characteristics.

Model Capabilities

Text Classification
Named Entity Recognition
Sequence Labeling
Multilingual Text Processing

Use Cases

Natural Language Processing
Multilingual Named Entity Recognition
Identify entities such as person names, locations, and organizations in German and French texts.
F1 score reaches 0.8559
Text Classification
Perform classification tasks on German and French texts.
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