This
roberta-base
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 3e-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 0.9117647058823529, as measured by the
eval set accuracy, found after 2 epochs.
Runs of textattack roberta-base-MRPC on huggingface.co
374
Total runs
0
24-hour runs
61
3-day runs
75
7-day runs
-186
30-day runs
More Information About roberta-base-MRPC huggingface.co Model
roberta-base-MRPC huggingface.co
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textattack roberta-base-MRPC online free url in huggingface.co:
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