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lvwerra/bert-imdb lvwerra/bert-imdb
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Contributed by

lvwerra Leandro von Werra
6 models

How to use this model directly from the πŸ€—/transformers library:

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from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lvwerra/bert-imdb") model = AutoModelForSequenceClassification.from_pretrained("lvwerra/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.


The model achieved 90% classification accuracy on the validation set.


The full experiment is available in the tlr repo.