This
xlnet-base-cased
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 0.7111913357400722, as measured by the
eval set accuracy, found after 3 epochs.
Runs of textattack xlnet-base-cased-RTE on huggingface.co
29
Total runs
3
24-hour runs
6
3-day runs
11
7-day runs
16
30-day runs
More Information About xlnet-base-cased-RTE huggingface.co Model
xlnet-base-cased-RTE huggingface.co
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xlnet-base-cased-RTE install url in huggingface.co: