Update README.md

README.md

@@ -31,6 +31,7 @@ For text generation, like other XLNet models, a longer context will help generat
 ## Training data
 
 The following is the list of data sources. Total characters is about 507M.
+
 | Data                                              |   % |
 | ------------------------------------------------- | --: |
 | News Articles / Blogs                             | 58% |
@@ -40,6 +41,7 @@ The following is the list of data sources. Total characters is about 507M.
 | Online Fiction                                    |  1% |
 
 The following is the distribution of different languages within the corpus.
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 | Language                                          |   % |
 | ------------------------------------------------- | --: |
 | Standard Chinese                                  | 62% |
@@ -49,6 +51,7 @@ The following is the distribution of different languages within the corpus.
 ## Training procedure
 
 Model was trained on a single TPUv3 from the official repo with the default parameters.
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 | Parameter                                        | Value |
 | ------------------------------------------------ | ----: |
 | Batch Size                                       | 32    |
@@ -60,6 +63,7 @@ Model was trained on a single TPUv3 from the official repo with the default para
 ## Eval results
 
 Average evaluation task results over 10 runs. Comparison using the original repo model and code. Chinese models are available from [Joint Laboratory of HIT and iFLYTEK Research (HFL)](https://huggingface.co/hfl)
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 | Model       | DRCD (EM/F1) | openrice-senti | lihkg-cat | wordshk-sem |
 |:-----------:|:------------:|:--------------:|:---------:|:-----------:|
 | Chinese     | 82.8 / 91.8  | 79.8           | 70.7      | 72.0 / 78.9*|