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foduucom / contact-form-spam-detection
Model's Last Updated: August 28 2023
text-classification
Introduction of contact-form-spam-detection
Model Details of contact-form-spam-detection
Model Card for Text Classification for email-spam detection
This model is based on Text classification using pytorch library. In this model we propose to used a torchtext library for tokenize & vectorize data. This model is used in corporate and industrial area for mail detection. It is used three label like job, enquiry and spam. It achieve the following results on the evalution set:
- accuracy : 0.866
model architecture for text classification :
Label for text classification:
- Enquiry
- Job
- Spam
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.01
- train_batch_size: 64
- step_size: 10
- optimizer: Adam
- lr_scheduler_type: StepLR
- lr_scheduler.StepLR:(optimizer,step_size=10,gamma=0.1)
- num_epochs: 10
Framework versions
- Pytorch 2.0.1+cu118
- torchtext 0.15.2+cpu
@ModelCard{
author = {Nehul Agrawal and
Rahul parihar},
title = {Text classification},
year = {2023}
}
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More Information About contact-form-spam-detection huggingface.co Model
Url of contact-form-spam-detection
contact-form-spam-detection huggingface.co Url
Provider of contact-form-spam-detection huggingface.co
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Updated:April 02 2025
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