I am training a AutoModelForSequenceClassification for a binary classification problem.
I would like to obtain calibrated probabilities using techniques similar to 1.16. Probability calibration — scikit-learn 1.5.1 documentation but 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?