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tjcgo/bert-phishing-classifier_teacher
bert-phishing-classifier_teacher is a text classification model from tjcgo. 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 google-bert/bert-base-uncased on an unknown dataset. 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 | Auc |
|---|---|---|---|---|---|
| 1.1195 | 1.0 | 2000 | 1.1517 | 0.58 | 0.832 |
| 1.1824 | 2.0 | 4000 | 1.0918 | 0.596 | 0.836 |
| 1.1661 | 3.0 | 6000 | 1.0955 | 0.598 | 0.838 |
| 1.1565 | 4.0 | 8000 | 1.0945 | 0.594 | 0.839 |
| 1.1462 | 5.0 | 10000 | 1.1160 | 0.591 | 0.84 |
| 1.1283 | 6.0 | 12000 | 1.0884 | 0.589 | 0.843 |
| 1.1235 | 7.0 | 14000 | 1.0688 | 0.601 | 0.847 |
| 1.1096 | 8.0 | 16000 | 1.0701 | 0.606 | 0.846 |
| 1.1058 | 9.0 | 18000 | 1.0629 | 0.61 | 0.847 |
| 1.1003 | 10.0 | 20000 | 1.0614 | 0.606 | 0.847 |