textattack / distilbert-base-uncased-WNLI

huggingface.co
Total runs: 87
24-hour runs: 1
7-day runs: 10
30-day runs: 73
Model's Last Updated: July 07 2020
text-classification

Introduction of distilbert-base-uncased-WNLI

Model Details of distilbert-base-uncased-WNLI

TextAttack Model Card

This distilbert-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 128, 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 0.5633802816901409, as measured by the eval set accuracy, found after 0 epoch.

For more information, check out TextAttack on Github .

Runs of textattack distilbert-base-uncased-WNLI on huggingface.co

87
Total runs
1
24-hour runs
5
3-day runs
10
7-day runs
73
30-day runs

More Information About distilbert-base-uncased-WNLI huggingface.co Model

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Url of distilbert-base-uncased-WNLI

distilbert-base-uncased-WNLI huggingface.co Url

Provider of distilbert-base-uncased-WNLI huggingface.co

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