Update README.md

README.md

@@ -7,18 +7,18 @@ This repository contains the code in both **PyTorch** and **TensorFlow** for our
 
 >Preprint 2018
 
-#### TensorFlow
+## TensorFlow
 
 - The source code is in the `tf/` folder, supporting (1) single-node multi-gpu training, and (2) multi-host TPU training.
 - Besides the source code, we also provide pretrained "TensorFlow" models with state-of-the-art (SoTA) performances reported in the paper.
 - Please refer to `tf/README.md` for details.
 
-#### PyTorch
+## PyTorch
 
 - The source code is in the `pytorch/` folder, supporting single-node multi-gpu training via the module `nn.DataParallel`.
 - Please refer to `pytorch/README.md` for details.
 
-#### Results
+## Results
 
 Transformer-XL achieves new state-of-the-art results on multipole language modeling benchmarks. Transformer-XL is also the first to break through the 1.0 barrier on char-level language modeling. Below is a summary.
 
@@ -31,4 +31,4 @@ Transformer-XL | **0.99** | **1.08** | **21.8** | **18.3** | **54.5**
 
 ## Acknowledgement
 
-A large portion of the `getdata.sh` script comes from the [awd-lstm](https://github.com/salesforce/awd-lstm-lm/) repo. Happy Language Modeling :)
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+A large portion of the `getdata.sh` script comes from the [awd-lstm](https://github.com/salesforce/awd-lstm-lm/) repo. Happy Language Modeling :)