How to use this model directly from the
from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/distilbert-base-uncased-RTE") model = AutoModelForSequenceClassification.from_pretrained("textattack/distilbert-base-uncased-RTE")
distilbert-base-uncased 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 16, 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 0.6570397111913358, as measured by the
eval set accuracy, found after 4 epochs.
For more information, check out TextAttack on Github.