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albert-base-v2-yelp-polarity
textattack/albert-base-v2-yelp-polarity
albert-base-v2-yelp-polarity is a text classification model from textattack. Use it when you need a label for a piece of text. It is set up for transformers.
This albert-base-v2 model was fine-tuned for sequence classification using TextAttack and the yelppolarity dataset loaded using the nlp library. The model was fine-tuned for 5 epochs with a batch size of 16, a learnin…
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- albert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jul 6, 2020
- SHA
- bbb5fb39
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Model card
From the Hugging Face model README
TextAttack Model Card
This albert-base-v2 model was fine-tuned for sequence classification using TextAttack
and the yelp_polarity dataset loaded using the nlp library. The model was fine-tuned
for 5 epochs with a batch size of 16, a learning
rate of 3e-05, and a maximum sequence length of 512.
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 0.975078947368421, as measured by the
eval set accuracy, found after 3 epochs.
For more information, check out TextAttack on Github.
- Task
- Text Classification
- Library
- transformers
- Type
- albert
- Created
- Mar 2, 2022
- Updated
- Jul 6, 2020