task specific prefix doesn’t matter much.

When finetuning on a task that is quite different from one of the supervised tasks, then:

Can you leave the default “summarization” task that finetune.py uses, or will this mess things up?
Should you create your own named task or just leave the task blank? (Does the model always expect some sort of <task_name>: prefix to every input?)