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distilbert-base-uncased_big_vul_ft_0918
ms666888/distilbert-base-uncased_big_vul_ft_0918
distilbert-base-uncased_big_vul_ft_0918 is a machine learning model from ms666888. 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
- Sep 18, 2024
- Updated
- Sep 18, 2024
- SHA
- 04fd7f0d
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. -->
distilbert-base-uncased_big_vul_ft_0918
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2017
- Accuracy: 0.9441
- F1: 0.9328
- Precision: 0.7567
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: 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision |
|---|---|---|---|---|---|---|
| 0.1881 | 1.0 | 1179 | 0.1894 | 0.9459 | 0.9273 | 0.8410 |
| 0.1768 | 2.0 | 2358 | 0.1880 | 0.9469 | 0.9286 | 0.8688 |
| 0.1532 | 3.0 | 3537 | 0.1910 | 0.9477 | 0.9324 | 0.8376 |
| 0.1344 | 4.0 | 4716 | 0.2017 | 0.9441 | 0.9328 | 0.7567 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.2.2
- Datasets 2.16.1
- Tokenizers 0.13.3
- Type
- distilbert
- License
- apache-2.0
- Created
- Sep 18, 2024
- Updated
- Sep 18, 2024