text: 
  
  TITLE
  Finetuning T5: Keyword arguments not recognized.
  
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  # ❓ Questions & Help
  
  ## Details
  Hi, I want to finetune the T5-small model for summarization purposes, to finetune the T5-large later. I prepared my data as as shown in the examples but during training i receive the message: 
  `Keyword arguments {'src_lang': None, 'tgt_lang': None, 'add_prefix_space': False} not recognized.`
  which indicates to me, that somehow my data preparation process is wrong. However, I was not able to find out how the data for T5 has to be prepared properly (as the T5 is a multi-ability model, the data has to be marked somehow, but I dont know how).
  Currently my train data looks as the follow:
  train.source: 
  Line 1: A long text
  Line 2: Another long Text
  
  train.target:
  Line 1: 'target':'Target for the text' 
  Line 2: 'target':'Another target for the text' 
  
  This question is in my view to specific to the transformer huggingface-architecture as I use the `finetune_sh` script in the seq2seq example folder. A small example, of how the data has to be structured for T5 will be very helpful, thank you! 