Transformers
PyTorch
I-SPIn
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  | [RTE3-ITA](https://github.com/gilnoh/RTEFormatWork/tree/master/RTE3-ITdata-original-format) | Min F1-Score | 60% |
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  | [RTE-2009-ITA](https://live.european-language-grid.eu/catalogue/corpus/8121/download/) | Accuracy | 59% |
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  | [RTE-2009-ITA](https://live.european-language-grid.eu/catalogue/corpus/8121/download/) | Min F1-Score | 31% |
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- | [SNLI](https://nlp.stanford.edu/projects/snli/) (IT) translated w/NLLB | Accuracy | 74% |
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- | [MNLI-Matched](https://cims.nyu.edu/~sbowman/multinli/) (IT) translated w/NLLB | Accuracy | 72% |
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- | [MNLI-Mismatched](https://cims.nyu.edu/~sbowman/multinli/) (IT) translated w/NLLB | Accuracy | 73%
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  ## Next steps
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  1. Create an open pip package called 'ISPIn' that lets the user to run directly the model without adding any additional code to a project.
 
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  | [RTE3-ITA](https://github.com/gilnoh/RTEFormatWork/tree/master/RTE3-ITdata-original-format) | Min F1-Score | 60% |
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  | [RTE-2009-ITA](https://live.european-language-grid.eu/catalogue/corpus/8121/download/) | Accuracy | 59% |
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  | [RTE-2009-ITA](https://live.european-language-grid.eu/catalogue/corpus/8121/download/) | Min F1-Score | 31% |
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+ | [SNLI](https://nlp.stanford.edu/projects/snli/) (IT) translated w/[NLLB](https://huggingface.co/facebook/nllb-200-distilled-600M) | Accuracy | 74% |
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+ | [MNLI-Matched](https://cims.nyu.edu/~sbowman/multinli/) (IT) translated w/[NLLB](https://huggingface.co/facebook/nllb-200-distilled-600M) | Accuracy | 72% |
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+ | [MNLI-Mismatched](https://cims.nyu.edu/~sbowman/multinli/) (IT) translated w/[NLLB](https://huggingface.co/facebook/nllb-200-distilled-600M) | Accuracy | 73%
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  ## Next steps
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  1. Create an open pip package called 'ISPIn' that lets the user to run directly the model without adding any additional code to a project.