Q&A

squad_it_xxl_cased

This is a model, based on BERT trained on cased Italian, that can be used for Extractive Q&A on Italian texts.

Model description

This model has been trained on squad_it dataset starting from the pre-trained model dbmdz/bert-base-italian-xxl-cased.

These are the metrics computed on evaluation set:

How to use

from transformers import pipeline

pipe_qa = pipeline('question-answering', model='luigisaetta/squad_it_xxl_cased_hub1')

pipe_qa(context="Io sono nato a Napoli. Il mare bagna Napoli. Napoli è la più bella città del mondo", 
        question="Qual è la più bella città del mondo?")

Intended uses & limitations

This model can be used for Extractive Q&A on Italian Text

Training and evaluation data

squad_it

Training procedure

see code in this NoteBook

Training hyperparameters

The following hyperparameters were used during training:

Framework versions