Downloads · 30 days
6
20% of all-time downloads
Base_100Kphish_benignFall_IL_10K_OnlyPhish_from_benign_top_p_0.75
AustinCarthy/Base_100Kphish_benignFall_IL_10K_OnlyPhish_from_benign_top_p_0.75
Base_100Kphish_benignFall_IL_10K_OnlyPhish_from_benign_top_p_0.75 is a text classification model from AustinCarthy. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
30
Public
Repo size
2.2 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin438 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- May 12, 2023
- Updated
- May 12, 2023
- SHA
- 42492107
Try a prompt
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. -->
Base_100Kphish_benignFall_IL_10K_OnlyPhish_from_benign_top_p_0.75
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0237
- Accuracy: 0.9975
- F1: 0.9731
- Precision: 0.9983
- Recall: 0.9492
- Roc Auc Score: 0.9746
- Tpr At Fpr 0.01: 0.9508
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: 2e-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 |
|---|---|---|---|---|---|---|---|---|---|
| 0.0042 | 1.0 | 6563 | 0.0276 | 0.9966 | 0.9628 | 0.9983 | 0.9298 | 0.9649 | 0.9308 |
| 0.0024 | 2.0 | 13126 | 0.0242 | 0.9972 | 0.9698 | 0.9973 | 0.9438 | 0.9718 | 0.927 |
| 0.0026 | 3.0 | 19689 | 0.0244 | 0.9970 | 0.9679 | 0.9987 | 0.939 | 0.9695 | 0.9514 |
| 0.0003 | 4.0 | 26252 | 0.0293 | 0.9968 | 0.9657 | 0.9989 | 0.9346 | 0.9673 | 0.9472 |
| 0.0007 | 5.0 | 32815 | 0.0237 | 0.9975 | 0.9731 | 0.9983 | 0.9492 | 0.9746 | 0.9508 |
Framework versions
- Transformers 4.29.1
- Pytorch 1.9.0+cu111
- Datasets 2.10.1
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- May 12, 2023
- Updated
- May 12, 2023