Hamza-Ziyard
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README.md
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@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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# mT5_multilingual_XLSum-sinhala-abstaractive-summarization_CNN-dailymail-V2
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This model is a fine-tuned version of [csebuetnlp/mT5_multilingual_XLSum](https://huggingface.co/csebuetnlp/mT5_multilingual_XLSum) on the
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It achieves the following results on the evaluation set:
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- Loss: 2.4863
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- Rouge1: 19.9769
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# mT5_multilingual_XLSum-sinhala-abstaractive-summarization_CNN-dailymail-V2
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This model is a fine-tuned version of [csebuetnlp/mT5_multilingual_XLSum](https://huggingface.co/csebuetnlp/mT5_multilingual_XLSum) on the CNN daily-mail sinhala dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.4863
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- Rouge1: 19.9769
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