for ex: I have four classes
class 1: 200 samples
class 2: 100 samples
class 3: 20 samples
class 4: 10 samples
so during predictions, most of my samples are predicting class 1 or 2 because samples are high even I have unlabeled samples of class3 and class4.
How can I overcome this in HF?
is it possible to tell me the model that concentrates more on class3 and class4?
Help me very soon.
Thank you in advance.