textattack / bert-base-uncased-rotten_tomatoes

huggingface.co
Total runs: 19
24-hour runs: 0
7-day runs: 3
30-day runs: -43
Model's Last Updated: May 20 2021
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Introduction of bert-base-uncased-rotten_tomatoes

Model Details of bert-base-uncased-rotten_tomatoes

bert-base-uncased fine-tuned with TextAttack on the rotten_tomatoes dataset
This `bert-base-uncased` model was fine-tuned for sequence classificationusing TextAttack 
and the rotten_tomatoes dataset loaded using the `nlp` library. The model was fine-tuned 
for 10 epochs with a batch size of 64, a learning 
rate of 5e-05, and a maximum sequence length of 128. 
Since this was a classification task, the model was trained with a cross-entropy loss function. 
The best score the model achieved on this task was 0.875234521575985, as measured by the 
eval set accuracy, found after 4 epochs.

For more information, check out [TextAttack on Github](https://github.com/QData/TextAttack).

Runs of textattack bert-base-uncased-rotten_tomatoes on huggingface.co

19
Total runs
0
24-hour runs
3
3-day runs
3
7-day runs
-43
30-day runs

More Information About bert-base-uncased-rotten_tomatoes huggingface.co Model

bert-base-uncased-rotten_tomatoes huggingface.co

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bert-base-uncased-rotten_tomatoes install

bert-base-uncased-rotten_tomatoes is an open source model from GitHub that offers a free installation service, and any user can find bert-base-uncased-rotten_tomatoes on GitHub to install. At the same time, huggingface.co provides the effect of bert-base-uncased-rotten_tomatoes install, users can directly use bert-base-uncased-rotten_tomatoes installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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Url of bert-base-uncased-rotten_tomatoes

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Provider of bert-base-uncased-rotten_tomatoes huggingface.co

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