When i train my network, in 156th epochs the training is break. So i use --resume to continue training(load the last checkpoint).
But i see one phenomenon: the train loss will rise from 0.0870 to 0.1321, and it will take many epochs decrease to 0.08 again.
I also meet this problem in other training(after use --resume to load last checkpoint, the training loss will raise from 0.1557 to 0.1999. The val loss will raise from 0.2488 to 0.2657 and the iou will decrease from 0.6419 to 0.6009.):

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So use --resume to continue the training will reduse accuracy? Is it normal in this case?
Thank you.