Transformers
PyTorch
I-SPIn
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  | [MNLI-Mismatched](https://cims.nyu.edu/~sbowman/multinli/) (IT) translated w/[NLLB-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) | Accuracy | 73%
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  NOTE: in [RTE3-ITA](https://github.com/gilnoh/RTEFormatWork/tree/master/RTE3-ITdata-original-format) and [RTE-2009-ITA](https://live.european-language-grid.eu/catalogue/corpus/8121/download/), there is no 'neutral' class.
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- Hence, when the model classifies a sentence pair as 'neutral', it has been relabeled as 'contradiction'.
 
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  | [MNLI-Mismatched](https://cims.nyu.edu/~sbowman/multinli/) (IT) translated w/[NLLB-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) | Accuracy | 73%
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  NOTE: in [RTE3-ITA](https://github.com/gilnoh/RTEFormatWork/tree/master/RTE3-ITdata-original-format) and [RTE-2009-ITA](https://live.european-language-grid.eu/catalogue/corpus/8121/download/), there is no 'neutral' class.
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+ Hence, in those cases, during testing, as the model classified a sentence pair as 'neutral', it was manually relabeled as 'contradiction'.