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
.
Runs of lvwerra bert-imdb on huggingface.co
28
Total runs
0
24-hour runs
-11
3-day runs
-12
7-day runs
4
30-day runs
More Information About bert-imdb huggingface.co Model
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