Finetuning T5 for 2 tasks with 2 diferent prefixes and different data gives the same result.
Hello,

I am able to finetune T5 on paraphrasing task ... and the results are quite good. So for example when i train modelA on dataA and modelB on DataB, the produce different results, but then i train modelC and prefixA + Data A plus PrefixB + dataB the results with PrefixA and PrefixB are almost the same.

What could be the problem, is this an usual thing, because T5 should be able to handle multiple tasks at the same time.

I can train 2 models but I do not have enough memory for interface.

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.<|||||>It is too bad that models that is advertised of doing multipl;e tasks is actually not capable of it.