README.md

metadata

license: mit
language:
  - en
metrics:
  - accuracy

Toxic post classification using DistilBert

Use a pretrained DistilBert to train a classifier on the Toxic Comment dataset https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge. The goal is to classify whether a comment is toxic or not. Note that the labels from the original datasets are more fine-grained (i.e. different types of toxicity). The model here obatains a test accuracy of 95% on a balanced split.