How to use this model directly from the
from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/distilbert-base-uncased-rotten-tomatoes") model = AutoModelForSequenceClassification.from_pretrained("textattack/distilbert-base-uncased-rotten-tomatoes")
This `distilbert-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 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 classification task, the model was trained with a cross-entropy loss function. The best score the model achieved on this task was 0.8395872420262664, as measured by the eval set accuracy, found after 2 epochs. For more information, check out [TextAttack on Github](https://github.com/QData/TextAttack).