https://github.com/animesh-algorithm/spam-detector-bert-pytorch-transformers-hugging-face-nlp-state-of-the-art-model.

Spam Detector is a Data Science Project built using Pytorch and Hugging Face library. Used BERT model based on Transformer Architecture and got 99.97% accuracy on train set and 98.76% accuracy on test set.
https://github.com/animesh-algorithm/spam-detector-bert-pytorch-transformers-hugging-face-nlp-state-of-the-art-model.

bert deep-learning hugging-face-transformers nlp pytorch transfer-learning transformers

Last synced: 20 days ago
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Spam Detector is a Data Science Project built using Pytorch and Hugging Face library. Used BERT model based on Transformer Architecture and got 99.97% accuracy on train set and 98.76% accuracy on test set.

• Host: GitHub
• URL: https://github.com/animesh-algorithm/spam-detector-bert-pytorch-transformers-hugging-face-nlp-state-of-the-art-model.
• Owner: animesh-algorithm
• Created: 2021-02-08T09:18:30.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2021-02-09T11:15:28.000Z (almost 4 years ago)
• Last Synced: 2024-04-17T05:02:47.811Z (9 months ago)
• Topics: bert, deep-learning, hugging-face-transformers, nlp, pytorch, transfer-learning, transformers
• Language: Jupyter Notebook
• Homepage:
• Size: 27.3 KB
• Stars: 2
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Spam Detector | BERT | Pytorch | Transformers | Hugging Face | NLP | State-of-the-Art-Model.

Spam Detector is a Data Science Project built using Pytorch and Hugging Face library. Used BERT model based on Transformer Architecture and got 99.97% accuracy on train set and 98.76% accuracy on test set.