Hey everyone. I trained the model in Swedish (just on the standard params) and I’m curious if we could figure out a good way to fine tune the parameters.
My WER after 4000 steps was 0.511916 on a dataset of 402mb.
I created a spreadsheet, maybe if people could fill out some parameters on how we trained we could figure out better parameters for training. 
  
      docs.google.com
  
  
    

WAV2VEC2 Model language and WER 20

Sheet1

Language,Training dataset,Training dataset size,WER,Training params,Trained on,Trained by,Training time
Swedish,Common voice,402 mb,0.511916,Standard  from the notebook,Colaboratory Pro,Birger Moëll,5:01:17
Swedish,NST <a...

  
  
    
    
  
  


Here is a link to my Google Colaboratory.
  
      
      colab.research.google.com
  
  
    

Google Colaboratory 21