YOLOv8 appears overtrained despite minimal training epochs

I'm training a classification model using YOLOv8x-cls (have tried with smaller models as well, same issue) and appear to be running into an overtraining issue where the seemingly same image gives wildly different results when trained vs on prediction. See: [https://imgur.com/a/J7xPLlr](https://imgur.com/a/J7xPLlr)

For most of my runs I've had an image size of 480 and have tried varying the epochs from 20-300 with no luck.

I'm working with a fairly small dataset (<500) total images across splits but given the nature …

computervision dataset expect image images nature small total