textattack / bert-base-uncased-ag-news

huggingface.co
Total runs: 2.1K
24-hour runs: 44
7-day runs: 158
30-day runs: -37
Model's Last Updated: May 20 2021
text-classification

Introduction of bert-base-uncased-ag-news

Model Details of bert-base-uncased-ag-news

TextAttack Model CardThis bert-base-uncased model was fine-tuned for sequence classification using TextAttack

and the ag_news 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 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 0.9514473684210526, as measured by the eval set accuracy, found after 3 epochs.

For more information, check out TextAttack on Github .

Runs of textattack bert-base-uncased-ag-news on huggingface.co

2.1K
Total runs
44
24-hour runs
81
3-day runs
158
7-day runs
-37
30-day runs

More Information About bert-base-uncased-ag-news huggingface.co Model

bert-base-uncased-ag-news huggingface.co

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bert-base-uncased-ag-news install

bert-base-uncased-ag-news is an open source model from GitHub that offers a free installation service, and any user can find bert-base-uncased-ag-news on GitHub to install. At the same time, huggingface.co provides the effect of bert-base-uncased-ag-news install, users can directly use bert-base-uncased-ag-news installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

bert-base-uncased-ag-news install url in huggingface.co:

https://huggingface.co/textattack/bert-base-uncased-ag-news

Url of bert-base-uncased-ag-news

bert-base-uncased-ag-news huggingface.co Url

Provider of bert-base-uncased-ag-news huggingface.co

textattack
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