This
xlnet-base-cased
model was fine-tuned for sequence classification using TextAttack
and the rotten_tomatoes 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 0.9071294559099438, as measured by the
eval set accuracy, found after 2 epochs.
Runs of textattack xlnet-base-cased-rotten-tomatoes on huggingface.co
31
Total runs
2
24-hour runs
3
3-day runs
8
7-day runs
25
30-day runs
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