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bert-unformatted-network-data-test
Jios/bert-unformatted-network-data-test
bert-unformatted-network-data-test is a text classification model from Jios. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- May 27, 2024
- Updated
- May 29, 2024
- SHA
- 9be9e795
Try a prompt
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. -->
bert-unformatted-network-data-test
This model is a fine-tuned version of roberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
EXAMPLE FULL NAMES:
label_0 = malicious (UDP-lag DDoS), label_1 = benign
- malicious from training dataset
- benign from training dataset
- malicious outside training dataset
- malicious outside training dataset 2
- benign outside training dataset
- benign outside training dataset 2
- benign then malicious same entry
- malicious then benign same entry
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0139 | 1.0 | 750 | 0.0000 |
| 0.0 | 2.0 | 1500 | 0.0000 |
| 0.0 | 3.0 | 2250 | 0.0000 |
| 0.0 | 4.0 | 3000 | 0.0000 |
| 0.0 | 5.0 | 3750 | 0.0000 |
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- May 27, 2024
- Updated
- May 29, 2024