This
bert-base-uncased
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 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 0.8774509803921569, as measured by the
eval set accuracy, found after 1 epoch.
Runs of textattack bert-base-uncased-MRPC on huggingface.co
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Total runs
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24-hour runs
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3-day runs
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7-day runs
2.8K
30-day runs
More Information About bert-base-uncased-MRPC huggingface.co Model
bert-base-uncased-MRPC huggingface.co
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