Base_100Kphish_benignFall_IL_10K_OnlyPhish_from_benign_top_p_0.75_lr1e-6
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0201
- Accuracy: 0.9978
- F1: 0.9766
- Precision: 0.9985
- Recall: 0.9556
- Roc Auc Score: 0.9778
- Tpr At Fpr 0.01: 0.9614
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Roc Auc Score | Tpr At Fpr 0.01 |
|---|
| 0.004 | 1.0 | 6563 | 0.0144 | 0.9980 | 0.9781 | 0.9969 | 0.96 | 0.9799 | 0.9528 |
| 0.0012 | 2.0 | 13126 | 0.0202 | 0.9977 | 0.9749 | 0.9992 | 0.9518 | 0.9759 | 0.9618 |
| 0.002 | 3.0 | 19689 | 0.0176 | 0.9978 | 0.9761 | 0.9985 | 0.9546 | 0.9773 | 0.9586 |
| 0.0 | 4.0 | 26252 | 0.0205 | 0.9977 | 0.9749 | 0.9992 | 0.9518 | 0.9759 | 0.961 |
| 0.0005 | 5.0 | 32815 | 0.0201 | 0.9978 | 0.9766 | 0.9985 | 0.9556 | 0.9778 | 0.9614 |
Framework versions
- Transformers 4.29.1
- Pytorch 1.9.0+cu111
- Datasets 2.10.1
- Tokenizers 0.13.2
