Xlm Roberta Base Finetuned Panx Fr
French token classification model fine-tuned on the xtreme dataset based on XLM-RoBERTa-base
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Release Time : 7/12/2022
Model Overview
This model is an optimized fine-tuned version of XLM-RoBERTa-base for French token classification tasks, demonstrating excellent performance on the PAN-X.fr dataset.
Model Features
High-Performance French Token Classification
Achieves an F1 score of 0.9275 on the PAN-X.fr dataset
Based on XLM-RoBERTa Architecture
Utilizes a powerful multilingual pretrained model for fine-tuning
Lightweight Fine-tuning
Requires only 3 training epochs to achieve excellent performance
Model Capabilities
French text token classification
Named Entity Recognition
Use Cases
Natural Language Processing
French Text Entity Recognition
Identifies entities such as person names, locations, and organization names in French text
F1 score reaches 0.9275
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