I don’t remember changing anything during the process, I just processed the data again from the raw data.
Also, I don’t think I mentioned this, but I have 4 classes 56:11:30:3.
I since have moved away from and unbalanced dataset, and still am achieving a 60% accuracy. Fine tuning the model could yield at the most 10% in valuation accuracy correct (is accuracy an accurate way of measuring the success in a model when using a balanced dataset)? If this is true, I think my problem with the accuracy/loss might be with my dataset.
This is what my currect loss/accuracy looks like (the model seems to overfit after 60 epochs and the valdiation accurcy seems hover over 60%):

layers-13_parms-180_180_180_180_180_180_180_180_180_180_180_180_180_4_model-15794381151440×720 81.7 KB