I'm trying to train a model for a text classification and the model take a list of maximum 300 integer embedded from articles. The model trains without problem
I'm a beginner to this field and am stuck. I am following this tutorial (https://towardsdatascience.com/multi-label-multi-class-text-classification-with-bert-tr
I am relatively new to PyTorch and Huggingface-transformers and experimented with DistillBertForSequenceClassification on this Kaggle-Dataset. from transformers