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enron_spam_bert_base
csariyildiz/enron_spam_bert_base
enron_spam_bert_base is a text classification model from csariyildiz. Use it when you need a label for a piece of text. It is set up for transformers.
Labels: Ham 0, Spam 1 Accuracy: 0.9964012595591543 Dataset contains a total of 17.171 spam and 16.545 non-spam ("ham") e-mail messages (33.716 e-mails total).
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Nov 11, 2023
- Updated
- Nov 19, 2023
- SHA
- 2d9e376e
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Model card
From the Hugging Face model README
Finetuned BERT For Spam Detection On Enron Dataset
- Labels: Ham 0, Spam 1
- Accuracy: 0.9964012595591543
- Dataset contains a total of 17.171 spam and 16.545 non-spam ("ham") e-mail messages (33.716 e-mails total).
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Nov 11, 2023
- Updated
- Nov 19, 2023