Update README.md

README.md

@@ -13,7 +13,7 @@ Similar to distilwhisper-large-v2, Belle-distilwhisper-large-v2-zh is **5.8 time
 
 Despite having 51% fewer parameters, Belle-distilwhisper-large-v2-zh achieves a relative improvement of **-3% to 35%** over whisper-large-v2.
 
-It's important to note that distilwhisper-large-v2 cannot transcribe Chinese (it only outputs English) in the Chinese ASR benchmarks AISHELL1, AISHELL2, WENETSPEECH, and HKUST.
+It's important to note that the original distilwhisper-large-v2 cannot transcribe Chinese (it only outputs English).
 
 ## Usage
 ```python
@@ -47,9 +47,9 @@ If you want to fine-thuning the model on your datasets, please reference to the
 ## CER(%) 
 |      Model       | Parameters(M) |Language Tag   | aishell_1_test |aishell_2_test| wenetspeech_net | wenetspeech_meeting | HKUST_dev|   
 |:----------------:|:-------:|:-------:|:-----------:|:-----------:|:--------:|:-----------:|:-------:|
-| whisper-large-v2 |1550 |Chinese |   8.818   | 6.183  |  12.343   |  26.413  | 31.917 |
+| whisper-large-v2 |1550 |Chinese |   8.818%   | 6.183%  |  12.343%   |  26.413%  | 31.917% |
 | distilwhisper-large-v2 |756| Chinese |  -   | -  |  -   |  -  | - |
-| Belle-distilwhisper-large-v2-zh| 756 | Chinese |   5.958    | 6.477  |   12.786    | 17.039 | 20.771 |
+| Belle-distilwhisper-large-v2-zh| 756 | Chinese |   5.958%    | 6.477%  |   12.786%    | 17.039% | 20.771% |
 
 
 ## Citation