Update README.md

README.md

@@ -15,7 +15,7 @@ In [DeBERTa V3](https://arxiv.org/abs/2111.09543), we further improved the effic
 
 Please check the [official repository](https://github.com/microsoft/DeBERTa) for more implementation details and updates.
 
-The DeBERTa V3 xsmall model comes with 12 layers and a hidden size of 384. Its backbone parameter number is 22M with a vocabulary containing 128K tokens which introduce 48M parameters in the Embedding layer.  This model was trained using the 160GB data as DeBERTa V2.
+The DeBERTa V3 xsmall model comes with 12 layers and a hidden size of 384. It has only **22M** backbone parameters  with a vocabulary containing 128K tokens which introduces 48M parameters in the Embedding layer.  This model was trained using the 160GB data as DeBERTa V2.
 
 
 #### Fine-tuning on NLU tasks