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@@ -26,7 +26,7 @@ This is the `ai-forever/ruT5-base` model, fine-tuned for the task of abstractive
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  ## Model Description
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- The model is based on the T5 (Text-to-Text Transfer Transformer) architecture – an encoder-decoder transformer. The original pre-trained model `ai-forever/ruT5-base` was fine-tuned on a combined dataset consisting of Russian news articles from the Gazeta datasets and the Russian part of XLSum.
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  Details of the training process and results analysis can be found in the [GitHub repository](https://github.com/XristoLeonov/ru-text-summarization).
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  ## Model Description
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+ The model is based on the T5 (Text-to-Text Transfer Transformer) architecture –an encoder-decoder transformer. The original pre-trained model `ai-forever/ruT5-base` was fine-tuned on a combined dataset consisting of Russian news articles from the Gazeta datasets and the Russian part of XLSum.
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  Details of the training process and results analysis can be found in the [GitHub repository](https://github.com/XristoLeonov/ru-text-summarization).
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