BERT-IMDB
What is it?
BERT (bert-large-cased
) trained for sentiment classification on the IMDB dataset.
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.