Using Situation

[wanghongN]

Is there any highly imbalanced data used during the model’s pretraining? For example, in our classification task, we have more than ten thousand positive samples but fewer than ten negative samples. I’m wondering whether the model would still be effective under such extreme class imbalance. Thank you for your help.