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network-threat_classifier-distilbert-base-uncased
Ankitgoe/network-threat_classifier-distilbert-base-uncased
network-threat_classifier-distilbert-base-uncased is a machine learning model from Ankitgoe. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. 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
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jan 11, 2026
- Updated
- Jan 11, 2026
- SHA
- 7b188d58
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. -->
network-threat_classifier-distilbert-base-uncased
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8950
- Accuracy: 0.715
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: 0.002
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2079 | 1.0 | 125 | 0.4624 | 0.745 |
| 0.5508 | 2.0 | 250 | 0.8657 | 0.66 |
| 0.3098 | 3.0 | 375 | 0.5308 | 0.7 |
| 0.0933 | 4.0 | 500 | 0.8408 | 0.7 |
| 0.343 | 5.0 | 625 | 0.8979 | 0.675 |
| 0.3235 | 6.0 | 750 | 0.7056 | 0.705 |
| 0.2124 | 7.0 | 875 | 0.6523 | 0.655 |
| 0.1377 | 8.0 | 1000 | 0.7769 | 0.735 |
| 0.0439 | 9.0 | 1125 | 0.8804 | 0.73 |
| 0.158 | 10.0 | 1250 | 0.8950 | 0.715 |
Framework versions
- PEFT 0.18.0
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.4.2
- Tokenizers 0.22.1
- Library
- peft
- License
- apache-2.0
- Created
- Jan 11, 2026
- Updated
- Jan 11, 2026