How to use this model directly from the
from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/bert-base-cased-STS-B") model = AutoModelForSequenceClassification.from_pretrained("textattack/bert-base-cased-STS-B")
This `bert-base-cased` model was fine-tuned for sequence classificationusing TextAttack and the glue dataset loaded using the `nlp` library. The model was fine-tuned for 3 epochs with a batch size of 128, a learning rate of 1e-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 0.8244429996636282, as measured by the eval set pearson correlation, found after 2 epochs. For more information, check out [TextAttack on Github](https://github.com/QData/TextAttack).