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roberta-base-rotten-tomatoes
MAT-NUS/roberta-base-rotten-tomatoes
roberta-base-rotten-tomatoes is a machine learning model from MAT-NUS. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This roberta-base model was fine-tuned for sequence classificationusing TextAttack and the rottentomatoes dataset loaded using the nlp library. The model was fine-tuned for 10 epochs with a batch size of 64, a learnin…
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Updated Jul 8, 2023
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At a glance
- Access
- Public
- Created
- Jul 8, 2023
- Updated
- Jul 8, 2023
- SHA
- 20109259
Model card
From the Hugging Face model README
This roberta-base 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 2e-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 0.9033771106941839, as measured by the
eval set accuracy, found after 2 epochs.
For more information, check out TextAttack on Github.
- Created
- Jul 8, 2023
- Updated
- Jul 8, 2023