xlm-roberta-base-finetuned-panx-it Open Source Model - Accurately Realize Italian Tagging Classification

Xlm Roberta Base Finetuned Panx It

Developed by lijingxin

Italian token classification model fine-tuned on the xtreme dataset based on XLM-RoBERTa-base

Downloads 14

Release Time : 3/11/2022

Model Overview

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

Multilingual Support

Based on XLM-RoBERTa architecture with strong cross-lingual capabilities

High Performance

Achieves an F1 score of 0.8306 on the PAN-X.it dataset

Transfer Learning

Task-specific optimization through fine-tuning of pre-trained models

Italian text token classification

Named Entity Recognition

Sequence Labeling

Natural Language Processing

Named Entity Recognition

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

F1 score 0.8306

Part-of-Speech Tagging

Perform part-of-speech tagging on Italian text

Property	Details
Model Type	Fine - tuned version of xlm - roberta - base
Training Data	xtreme dataset
Metrics	F1 (0.8306 on evaluation set)

Training Loss	Epoch	Step	Validation Loss	F1
0.8118	1.0	70	0.3471	0.7047
0.2869	2.0	140	0.2679	0.8043
0.1762	3.0	210	0.2400	0.8306

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