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albert-base-v2-STS-B
textattack/albert-base-v2-STS-B
albert-base-v2-STS-B 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 glue dataset loaded using the nlp library. The model was fine-tuned for 5 epochs with a batch size of 32, a learning rate o…
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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
- 45ccf6dc
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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 glue dataset loaded using the nlp library. The model was fine-tuned
for 5 epochs with a batch size of 32, a learning
rate of 3e-05, and a maximum sequence length of 128.
Since this was a regression task, the model was trained with a mean squared error loss function.
The best score the model achieved on this task was 0.9064220351504577, as measured by the
eval set pearson correlation, 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