title: Bert fine-tuned for semantic similarity
body: <p>I would like to apply fine-tuning Bert to calculate semantic similarity between sentences.
  I search a lot websites, but I almost not found downstream about this. </p>
  
  <p>I just found <strong>STS benchmark</strong>.
  I wonder if I can use STS benchmark dataset to train a fine-tuning bert model, and apply it to my task. 
  Is it reasonable? </p>
  
  <p>As I know, there are a lot method to calculate similarity including cosine similarity, pearson correlation, manhattan distance, etc.
  How choose for semantic similarity?</p>