This
bert-base-uncased
model was fine-tuned for sequence classification using TextAttack
and the yelp_polarity dataset loaded using the
nlp
library. The model was fine-tuned
for 5 epochs with a batch size of 16, a learning
rate of 5e-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 0.9699473684210527, as measured by the
eval set accuracy, found after 4 epochs.
Runs of textattack bert-base-uncased-yelp-polarity on huggingface.co
21.4K
Total runs
184
24-hour runs
1.4K
3-day runs
1.8K
7-day runs
5.8K
30-day runs
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