Update README.md

README.md

@@ -10,14 +10,14 @@ license: apache-2.0
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 # T5-Efficient-XL 
-## *One of T5's Deep-Narrow checkpoints*
+### *One of T5's Deep-Narrow checkpoints*
 
 T5-Efficient-XL is a variation of the original [T5-3B](https://huggingface.co/t5-3b) checkpoint and follows the [T5 model architecture](https://huggingface.co/docs/transformers/model_doc/t5).
 It is a *pretrained-only* checkpoint and was released with the 
 paper **[Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers](https://arxiv.org/abs/2109.10686)** 
 by *Yi Tay, Mostafa Dehghani, Jinfeng Rao, William Fedus, Samira Abnar, Hyung Won Chung, Sharan Narang, Dani Yogatama, Ashish Vaswani, Donald Metzler*.
 
-In a nutshell, the paper indicates that a **DeepNarrow** model architecture is favorable for **downstream** performance compared to other model architectures 
+In a nutshell, the paper indicates that a **Deep-Narrow** model architecture is favorable for **downstream** performance compared to other model architectures 
 of similar parameter count.
 
 To quote the paper: