How to finetune mT5
I am using mT5 for the task of summarization on a language other than English. But even after training for 30 epochs, the generations are very bad with rouge 1 as 31.5, whereas mBART gives a rouge 1 of 43.1 after training only for 11 epochs. 
I wanted to know if mT5's performance is expected to be like this compared to mBART, or am I doing something wrong. 
Appreciate any help. Thank you :) 

Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.
Could you ask your question on the [forum](https://discuss.huggingface.co) instead?

Thanks!<|||||>> Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.
> Could you ask your question on the [forum](https://discuss.huggingface.co) instead?
> 
> Thanks!

Alright. Thank you so much!!<|||||>This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md) are likely to be ignored.