Update README_EN.md

README_EN.md

@@ -109,7 +109,7 @@ Below are preview audios. **Scroll up, down, left, and right** to see them all.
   </table>
 </div>
 
-Key Parameters:
+Key Parameters:</br>
 
 audio duration: total duration of the training dataset  </br>
 
@@ -119,10 +119,11 @@ Others: </br>
 
 batch_size = number of audio segments trained in one step </br>
 
-segments = the number of segments that the audio is split into ,step = segments * epoch / batch_size, which is where the numbers in the model file name come from
+segments = the number of segments that the audio is split into ,step = segments * epoch / batch_size, which is where the numbers in the model file name come from</br>
 
-Using the example of "Wanderer" (a character name): Loss Function Graph: pay attention to step and loss5, 
-for example:<br> As a difficult test, all the original audios are high-pitched female voices, and this graph 
+Using the example of "Wanderer" (a character name):</br>
+Loss Function Graph: pay attention to step and loss5, for example:<br> 
+As a difficult test, all the original audios are high-pitched female voices, and this graph 
 shows the result of training on a 10-minute pure voice audio. The model achieved good performance at around 
 2800 epochs (10,000 steps), and the actual model used was trained for 5571 epochs (19,500 steps), with 
 slight differences between the trained voice and the original voice. Please refer to the preview audio above.