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changge29/distilbert_enron_emails
distilbert_enron_emails is a text classification model from changge29. 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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From the Hugging Face model README
This model is a fine-tuned version of distilbert-base-uncased on an SetFit/enron_spam for Spam Dectection task.
It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.0454 | 1.0 | 1983 | 0.0430 | 0.9905 | 0.9906 | 0.9872 | 0.9940 |
| 0.009 | 2.0 | 3966 | 0.0535 | 0.991 | 0.9911 | 0.9930 | 0.9891 |
| 0.005 | 3.0 | 5949 | 0.0522 | 0.9935 | 0.9936 | 0.9921 | 0.9950 |
| 0.0002 | 4.0 | 7932 | 0.0650 | 0.991 | 0.9911 | 0.9920 | 0.9901 |