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bullmount/quanIta_t5
quanIta_t5 is a machine learning model from bullmount. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
This model is a fine-tuned version of gsarti/it5-base on Thoroughly Cleaned Italian mC4 Corpus (~41B words, ~275GB).<br/ This is an mt5-based Question Answering model for the Italian language. <br/ Training is done on…
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From the Hugging Face model README
This model is a fine-tuned version of gsarti/it5-base on Thoroughly Cleaned Italian mC4 Corpus (~41B words, ~275GB).<br/> This is an mt5-based Question Answering model for the Italian language. <br/> Training is done on translated subset of SQuAD 2.0 dataset (of about 100k questions).<br/> Thus, this model not only attempts to answer questions through reading comprehension, but also refrains when presented with a question that cannot be answered based on the paragraph provided.
You can test the model by entering question + context like the string shown below:
In quale anno si è verificato il terremoto nel Sichuan?
Il terremoto del Sichuan del 2008 o il terremoto del Gran Sichuan, misurato a 8.0 Ms e 7.9 Mw, e si è verificato alle 02:28:01 PM China Standard Time all' epicentro (06:28:01 UTC) il 12 maggio nella provincia del Sichuan, ha ucciso 69.197 persone e lasciato 18.222 dispersi.
The train achieves the following results: