Category "text-classification"

My text classifier model doens't improve with multiple classes

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

huggingface transformers convert logit scores to probability

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

Fine-Tuning DistilBertForSequenceClassification: Is not learning, why is loss not changing? Weights not updated?

I am relatively new to PyTorch and Huggingface-transformers and experimented with DistillBertForSequenceClassification on this Kaggle-Dataset. from transformers