The xlm-roberta-base-finetuned-panx-it Open-source Model - Free Deployment to Help with Italian Text Marking and Classification

Xlm Roberta Base Finetuned Panx It

Developed by RobertoMCA97

A token classification model fine-tuned on the xtreme dataset based on XLM-RoBERTa-base, supporting Italian text processing tasks

Sequence Labeling

Transformers

Open Source License:MIT #Multilingual Tag Classification #Italian Entity Recognition #High F1 Score

Downloads 14

Release Time : 3/16/2022

Model Overview

This pre-trained model is optimized for Italian text token classification tasks, achieving an F1 score of 0.8228 on the PAN-X.it dataset

Model Features

Multilingual Support

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

High-Accuracy Token Classification

Achieves an F1 score of 0.8228 on Italian token classification tasks

Transfer Learning Optimization

Adapted for domain-specific tasks through fine-tuning the pre-trained model

Model Capabilities

Italian Text Processing

Named Entity Recognition

Part-of-Speech Tagging

Sequence Labeling

Use Cases

Natural Language Processing

Italian Text Entity Recognition

Identify entities such as person names, locations, and organizations in Italian texts

F1 score 0.8228

Italian Text Analysis

Perform part-of-speech tagging and syntactic analysis on Italian texts

Property	Details
Model Type	Fine - tuned version of xlm - roberta - base
Training Data	xtreme
Metrics	F1

Training Loss	Epoch	Step	Validation Loss	F1
0.8126	1.0	70	0.3361	0.7231
0.2995	2.0	140	0.2526	0.8079
0.1865	3.0	210	0.2323	0.8228

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Xlm Roberta Base Finetuned Panx It

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 xlm-roberta-base-finetuned-panx-it

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