This model was trained using the
Zero-shot classifier distillation method
with the
BART-large-mnli model as teacher model, to train a classifier on Github issues from the
Github Issues Prediction datasetAs per the dataset Kaggle competition, the classifier predicts wether an issue is a bug, feature or question. After playing around with different labels pre-training I've used a different mapping
of labels that yielded better predictions (see notebook
here for details), labels being
See
this notebook for more info on feature engineering choice made
