Leandro von Werra
a6c4ee27fd
* feat: add model card bert-imdb * feat: add model card gpt2-imdb-pos * feat: add model card gpt2-imdb
15 lines
619 B
Markdown
15 lines
619 B
Markdown
# BERT-IMDB
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## What is it?
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BERT (`bert-large-cased`) trained for sentiment classification on the [IMDB dataset](https://www.kaggle.com/lakshmi25npathi/imdb-dataset-of-50k-movie-reviews).
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## Training setting
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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.
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## Result
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The model achieved 90% classification accuracy on the validation set.
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## Reference
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The full experiment is available in the [tlr repo](https://lvwerra.github.io/trl/03-bert-imdb-training/).
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