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language: it
license: apache-2.0
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- text: "Il [MASK] ha chiesto revocarsi l'obbligo di pagamento"
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<img  src="https://huggingface.co/dlicari/Italian-Legal-BERT/resolve/main/ITALIAN_LEGAL_BERT.jpg" width="500"/> 
<h1> ITALIAN-LEGAL-BERT:A pre-trained Transformer Language Model for Italian Law </h1>

ITALIAN-LEGAL-BERT is based on <a href="https://huggingface.co/dbmdz/bert-base-italian-xxl-cased">bert-base-italian-xxl-cased</a> with additional pre-training of the Italian BERT model on Italian civil law corpora. 
It achieves better results than the ‘general-purpose’ Italian BERT in different domain-specific tasks.

<h2>Training procedure</h2> 
We initialized ITALIAN-LEGAL-BERT with ITALIAN XXL BERT
and pretrained for an additional 4 epochs on 3.7 GB of text from the National Jurisprudential
Archive using the Huggingface PyTorch-Transformers library. We used BERT architecture
with a language modeling head on top, AdamW Optimizer, initial learning rate 5e-5 (with
linear learning rate decay, ends at 2.525e-9), sequence length 512, batch size 10 (imposed
by GPU capacity), 8.4 million training steps, device 1*GPU V100 16GB