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ft-bert-base-uncased-for-binary-search
quangrmit/ft-bert-base-uncased-for-binary-search
ft-bert-base-uncased-for-binary-search is a machine learning model from quangrmit. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Oct 28, 2024
- Updated
- Oct 30, 2024
- SHA
- d8b29e9d
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. -->
ft-bert-base-uncased-for-binary-search
This model is a fine-tuned version of distilbert-base-uncased on the /kaggle/input/d/skywardai/network-vulnerability/network_vulnerability_dataset.csv dataset. It achieves the following results on the evaluation set:
- Loss: 0.1917
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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1637 | 1.0 | 63 | 0.1948 |
| 0.215 | 2.0 | 126 | 0.1941 |
| 0.2236 | 3.0 | 189 | 0.1932 |
| 0.2436 | 4.0 | 252 | 0.1912 |
| 0.2069 | 5.0 | 315 | 0.1914 |
| 0.3242 | 6.0 | 378 | 0.1917 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 28, 2024
- Updated
- Oct 30, 2024