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:
- EM: 63.95
- F1: 75.27
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
Training procedure
see code in this NoteBook
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1234
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.20.0.dev0
- Pytorch 1.9.0
- Datasets 1.11.0
- Tokenizers 0.12.1
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