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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
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