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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.
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