Hello
I’m use load a pre-train mT5 base model from Huggingface.
I’m adding English and Korean Train datasets this model
In the process of summarization of mT5 tasks,
When I only trained English, model’s output has no problem
But training with a Korean dataset, if i input English, the results will come out in Korean + English.
I would like to summarize and print them according to each input language, but how should I solve them?
is your issue solved?
i am trying to cross lingual summarization. like i will give input in english output will be bengali summarization but while pretraining output always are in english. how can i control this issue ?