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distilbert-spamEmail
tony4194/distilbert-spamEmail
distilbert-spamEmail is a text classification model from tony4194. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Oct 20, 2023
- Updated
- Nov 30, 2023
- SHA
- bfb04fea
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
distilbert-spamEmail
This model is a second fine-tuned version of tony4194/ditilbert-spamEmail on an SetFit/enron_spam dataset. It achieves the following results on the evaluation set:
- Loss: 0.0621
- Accuracy: 0.9925
Model description
To detect spam messages.
Intended uses & limitations
Maximum paragraph or chunk_text is 512.
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0083 | 1.0 | 1983 | 0.0569 | 0.9915 |
| 0.0012 | 2.0 | 3966 | 0.0620 | 0.993 |
| 0.0003 | 3.0 | 5949 | 0.0621 | 0.9925 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 20, 2023
- Updated
- Nov 30, 2023