readme: # Multilingual mT5 model trained with MLSUM_TR and MLSUM_CNN (EN)
  
  ## Results:
  
  MLSUM_TR:
  * Rouge-1: 45.11
  * Rouge-2: 30.96
  * Rouge-L: 39.23
  
  MLSUM_CNN:
  * Rouge-1: 39.65
  * Rouge-2: 17.49
  * Rouge-L: 27.66
  
  Note: Huggingface Inference API truncates the results, which results in unfinished sentences when making a prediction.
  You can try the model in Colab: https://colab.research.google.com/drive/1QDWO3RHjjP1nS8bIvhT38B3fVIBC3TaK?usp=sharing