readme: # BERT-IMDB
  
  ## What is it?
  BERT (`bert-large-cased`) trained for sentiment classification on the [IMDB dataset](https://www.kaggle.com/lakshmi25npathi/imdb-dataset-of-50k-movie-reviews).
  
  ## Training setting
  
  The model was trained on 80% of the IMDB dataset for sentiment classification for three epochs with a learning rate of `1e-5` with the `simpletransformers` library. The library uses a learning rate schedule.
  
  ## Result
  The model achieved 90% classification accuracy on the validation set.
  
  ## Reference
  The full experiment is available in the [tlr repo](https://lvwerra.github.io/trl/03-bert-imdb-training/).
  