fine tune do not change model output

Hi Thank you very much for your pre-trained model!

I am gathering some new data and using your code to fine-tune.After 100 epochs, I get a new model (one weird thing is that the size of new model reduce a lot.....). However when I test it, it seems that new model behave exactly same as the pre-trained one(same acc,same recall and same precision for each class).

Any idea why it happens? I am checking your code and seems that you only set one layer trainable?

Start by reviewing the repository's fine-tuning code and the configuration that determines which layer is trainable. Reproduce the reported result with the pre-trained and fine-tuned models, comparing model size and per-class accuracy, recall, and precision. Done means identifying why fine-tuning leaves the outputs unchanged and recording a confirmed fix or explanation.

Written by the indexing model from the issue text.