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bullmount
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quanIta_t5

Text2Text Generation
Transformers
PyTorch
Italian
t5
text2text_generation
question_answering
text-generation-inference
Inference Endpoints
Model card Files Community
3
bullmount commited on
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@@ -27,10 +27,10 @@ context: Il terremoto del Sichuan del 2008 o il terremoto del Gran Sichuan, misu
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  ```
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  The train achieves the following results:
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- - EM:
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- - F1:
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- - rouge1 :
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- - rouge2 :
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- - rougeL :
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- - rougeLsum :
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  ```
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  The train achieves the following results:
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+ - EM: 78.69
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+ - F1: 84.69
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+ - rouge1: precision=0.862719202795131, recall=0.8495162085489767, fmeasure=0.8454759447477825
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+ - rouge2: precision=0.3099476447633723, recall=0.30009316423132626, fmeasure=0.2985042711491812
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+ - rougeL: precision=0.8624629295526015, recall=0.8492508852662058, fmeasure=0.845230317723687
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+ - rougeLsum: precision=0.8625750137274623, recall=0.8493240893669843, fmeasure=0.8453007412455665
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