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bert-classify-urls-v0.05
cyberseclabs/bert-classify-urls-v0.05
bert-classify-urls-v0.05 is a text classification model from cyberseclabs. 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
- Jun 11, 2024
- Updated
- Jun 11, 2024
- SHA
- f21c8939
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Base models
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. -->
test_trainer_full
This model is a fine-tuned version of cyberseclabs/bert-classify-urls-v0.005 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1000
- Accuracy: 0.9823
- Precision: 0.9744
- Recall: 0.9732
- F1: 0.9738
- Roc Auc: 0.9965
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Roc Auc |
|---|---|---|---|---|---|---|---|---|
| 0.1474 | 0.3846 | 500 | 0.1319 | 0.9704 | 0.9679 | 0.9437 | 0.9556 | 0.9900 |
| 0.1275 | 0.7692 | 1000 | 0.0938 | 0.9758 | 0.9739 | 0.9539 | 0.9638 | 0.9957 |
| 0.1005 | 1.1538 | 1500 | 0.0905 | 0.9767 | 0.9717 | 0.9590 | 0.9653 | 0.9964 |
| 0.0637 | 1.5385 | 2000 | 0.0842 | 0.9815 | 0.9689 | 0.9767 | 0.9728 | 0.9969 |
| 0.0568 | 1.9231 | 2500 | 0.0884 | 0.9794 | 0.9666 | 0.9727 | 0.9696 | 0.9972 |
| 0.0357 | 2.3077 | 3000 | 0.1019 | 0.9810 | 0.9786 | 0.9647 | 0.9716 | 0.9964 |
| 0.0272 | 2.6923 | 3500 | 0.1000 | 0.9823 | 0.9744 | 0.9732 | 0.9738 | 0.9965 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jun 11, 2024
- Updated
- Jun 11, 2024