Update README.md

README.md

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 Please check the [official repository](https://github.com/microsoft/DeBERTa) for more details and updates.
 
-In DeBERTa V3 we replaced MLM objective with RTD(Replaced Token Detection) objective during pre-training, which significantly improves the model performance. Please check appendix A11 in our paper [DeBERTa](https://arxiv.org/abs/2006.03654) for more details.
+In DeBERTa V3 we replaced MLM objective with RTD(Replaced Token Detection) objective which was first introduced by ELECTRA for pre-training. The new objective significantly improves the model performance. Please check appendix A11 in our paper [DeBERTa](https://arxiv.org/abs/2006.03654) for more details.
 
 This is the DeBERTa V3 small model with 6 layers, 768 hidden size. Total parameters is 143M while Embedding layer take about 98M due to the usage of 128k vocabulary. It's trained with 160GB data.