This
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 128, a learning
rate of 2e-05, and a maximum sequence length of 256.
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 0.5633802816901409, as measured by the
eval set accuracy, found after 0 epoch.
Runs of textattack distilbert-base-uncased-WNLI on huggingface.co
87
Total runs
1
24-hour runs
5
3-day runs
10
7-day runs
73
30-day runs
More Information About distilbert-base-uncased-WNLI huggingface.co Model
distilbert-base-uncased-WNLI huggingface.co
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