TextAttack Model CardThis
distilbert-base-uncased
model was fine-tuned for sequence classification using TextAttack
and the ag_news dataset loaded using the
nlp
library. The model was fine-tuned
for 5 epochs with a batch size of 32, 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 0.9478947368421052, as measured by the
eval set accuracy, found after 1 epoch.
Runs of textattack distilbert-base-uncased-ag-news on huggingface.co
263
Total runs
6
24-hour runs
-40
3-day runs
-49
7-day runs
-49
30-day runs
More Information About distilbert-base-uncased-ag-news huggingface.co Model
distilbert-base-uncased-ag-news huggingface.co
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distilbert-base-uncased-ag-news install url in huggingface.co: