TextAttack Model Cardand the glue 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 0.850431447746884, as measured by the
eval set accuracy, found after 1 epoch.
Runs of textattack roberta-base-CoLA on huggingface.co
12.4K
Total runs
-268
24-hour runs
-679
3-day runs
1.1K
7-day runs
-62.3K
30-day runs
More Information About roberta-base-CoLA huggingface.co Model
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