| ---
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| base_model: google-bert/bert-base-uncased
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| library_name: transformers
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| license: apache-2.0
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| metrics:
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| - accuracy
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| tags:
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| - generated_from_trainer
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| model-index:
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| - name: bert-phishing-classifier_teacher
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| results: []
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| ---
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|
|
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| should probably proofread and complete it, then remove this comment. -->
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|
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| # bert-phishing-classifier_teacher
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| This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
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| It achieves the following results on the evaluation set:
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| - Loss: 0.3027
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| - Accuracy: 0.869
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| - Auc: 0.95
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|
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| ## Model description
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| More information needed
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|
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| ## Intended uses & limitations
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| More information needed
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|
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| ## Training and evaluation data
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| More information needed
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|
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| ## Training procedure
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| ### Training hyperparameters
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| The following hyperparameters were used during training:
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| - learning_rate: 0.0002
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| - train_batch_size: 8
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| - eval_batch_size: 8
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| - seed: 42
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| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| - lr_scheduler_type: linear
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| - num_epochs: 10
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|
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| ### Training results
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| | Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc |
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| |:-------------:|:-----:|:----:|:---------------:|:--------:|:-----:|
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| | 0.4989 | 1.0 | 263 | 0.3952 | 0.798 | 0.913 |
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| | 0.3791 | 2.0 | 526 | 0.3593 | 0.824 | 0.932 |
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| | 0.3689 | 3.0 | 789 | 0.3076 | 0.867 | 0.942 |
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| | 0.3466 | 4.0 | 1052 | 0.3502 | 0.849 | 0.944 |
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| | 0.3506 | 5.0 | 1315 | 0.3051 | 0.858 | 0.946 |
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| | 0.3298 | 6.0 | 1578 | 0.3215 | 0.858 | 0.948 |
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| | 0.3224 | 7.0 | 1841 | 0.2880 | 0.862 | 0.95 |
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| | 0.3082 | 8.0 | 2104 | 0.2869 | 0.871 | 0.95 |
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| | 0.34 | 9.0 | 2367 | 0.2890 | 0.862 | 0.95 |
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| | 0.3099 | 10.0 | 2630 | 0.3027 | 0.869 | 0.95 |
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| ### Framework versions
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| - Transformers 4.45.1
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| - Pytorch 2.4.1+cu124
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| - Datasets 3.0.1
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| - Tokenizers 0.20.0
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| |
