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results
s3891714/results
results is a machine learning model from s3891714. 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
- bert
- Access
- Public
- Created
- Nov 8, 2024
- Updated
- Nov 8, 2024
- SHA
- 2637a25b
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 bert-base-uncased on the https://www.kaggle.com/datasets/skywardai/network-vulnerability dataset. It achieves the following results on the evaluation set:
- Loss: 0.2487
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: 1e-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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2765 | 1.0 | 32 | 0.2347 |
| 0.2365 | 2.0 | 64 | 0.2386 |
| 0.22 | 3.0 | 96 | 0.2447 |
| 0.1919 | 4.0 | 128 | 0.2380 |
| 0.3098 | 5.0 | 160 | 0.2426 |
| 0.2602 | 6.0 | 192 | 0.2445 |
| 0.1759 | 7.0 | 224 | 0.2475 |
| 0.2478 | 8.0 | 256 | 0.2451 |
| 0.1949 | 9.0 | 288 | 0.2476 |
| 0.2746 | 10.0 | 320 | 0.2487 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- bert
- License
- apache-2.0
- Created
- Nov 8, 2024
- Updated
- Nov 8, 2024