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# roberta2-base-mnli-negnli
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This model is a fine-tuned version of [sileod/roberta-base-mnli](https://huggingface.co/sileod/roberta-base-mnli) on the MNLI subset
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It achieves the following results on the evaluation set:
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- Loss: 0.8397
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- Accuracy: 0.8400
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# roberta2-base-mnli-negnli
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This model is a fine-tuned version of [sileod/roberta-base-mnli](https://huggingface.co/sileod/roberta-base-mnli) on the GLUE MNLI dataset and the [MNLI subset in NegNLI](https://github.com/mosharafhossain/negation-and-nli/tree/master/data/new_benchmarks/processed_for_run/MNLI).
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It achieves the following results on the evaluation set:
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- Loss: 0.8397
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- Accuracy: 0.8400
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