Update README.md

README.md

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 # deberta-base-nepali
 
-This model is pre-trained on [nepalitext](https://huggingface.co/datasets/Sakonii/nepalitext-language-model-dataset) dataset consisting of over 13 million Nepali text sequences using a masked language modeling (MLM) objective. Our approach trains a Sentence Piece Model (SPM) for text tokenization similar to [XLM-ROBERTa](https://arxiv.org/abs/1911.02116) and trains [DeBERTa](https://arxiv.org/abs/2006.03654) for language modeling.
+This model is pre-trained on [nepalitext](https://huggingface.co/datasets/Sakonii/nepalitext-language-model-dataset) dataset consisting of over 13 million Nepali text sequences using a masked language modeling (MLM) objective. Our approach trains a Sentence Piece Model (SPM) for text tokenization similar to [XLM-ROBERTa](https://arxiv.org/abs/1911.02116) and trains [DeBERTa](https://arxiv.org/abs/2006.03654) for language modeling. Find more details in [this paper](https://aclanthology.org/2022.sigul-1.14/).
 
 It achieves the following results on the evaluation set: