Calibrate Probabilities for Transformers Classifier
I am training aAutoModelForSequenceClassificationfor a binary classification problem.I would like to obtain calibrated probabilities using techniques similar to1.16. Probability calibration — scikit-learn 1.5.1 documentationbut probabilities out of the classifiers seem to be too skewed toward 0 or 1.Is there any other way to obtain calibrated probabilities with transformers?