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Baseline_40Kphish_benignFall_20_20_20
AustinCarthy/Baseline_40Kphish_benignFall_20_20_20
Baseline_40Kphish_benignFall_20_20_20 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. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- May 16, 2023
- Updated
- May 17, 2023
- SHA
- 115bc6ee
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. -->
Baseline_40Kphish_benignFall_20_20_20
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0374
- Accuracy: 0.9958
- F1: 0.9536
- Precision: 0.9985
- Recall: 0.9126
- Roc Auc Score: 0.9563
- Tpr At Fpr 0.01: 0.9268
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 |
|---|---|---|---|---|---|---|---|---|---|
| 0.0045 | 1.0 | 26250 | 0.0211 | 0.9949 | 0.9441 | 0.9962 | 0.8972 | 0.9485 | 0.8784 |
| 0.0018 | 2.0 | 52500 | 0.0289 | 0.9957 | 0.9528 | 0.9967 | 0.9126 | 0.9562 | 0.9002 |
| 0.0021 | 3.0 | 78750 | 0.0317 | 0.9940 | 0.9325 | 0.9993 | 0.874 | 0.9370 | 0.9172 |
| 0.0014 | 4.0 | 105000 | 0.0315 | 0.9955 | 0.9504 | 0.9976 | 0.9074 | 0.9536 | 0.9046 |
| 0.0003 | 5.0 | 131250 | 0.0374 | 0.9958 | 0.9536 | 0.9985 | 0.9126 | 0.9563 | 0.9268 |
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
- License
- apache-2.0
- Created
- May 16, 2023
- Updated
- May 17, 2023