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 8, a learning
rate of 5e-05, and a maximum sequence length of 128.
Since this was a regression task, the model was trained with a mean squared error loss function.
The best score the model achieved on this task was 0.8892630070017784, as measured by the
eval set pearson correlation, found after 4 epochs.
Runs of textattack xlnet-base-cased-STS-B on huggingface.co
23
Total runs
2
24-hour runs
2
3-day runs
6
7-day runs
18
30-day runs
More Information About xlnet-base-cased-STS-B huggingface.co Model
xlnet-base-cased-STS-B huggingface.co
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