| --- |
| license: apache-2.0 |
| base_model: google/flan-t5-small |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: multiclass_vulnerability_classifier |
| results: [] |
| --- |
| |
| <!-- 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. --> |
|
|
| # multiclass_vulnerability_classifier |
|
|
| This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.0699 |
|
|
| ## 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 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 32 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 20 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | No log | 1.0 | 41 | 30.4020 | |
| | No log | 2.0 | 82 | 9.8970 | |
| | No log | 3.0 | 123 | 5.3734 | |
| | No log | 4.0 | 164 | 4.3631 | |
| | No log | 5.0 | 205 | 3.9439 | |
| | No log | 6.0 | 246 | 3.5538 | |
| | No log | 7.0 | 287 | 3.1623 | |
| | No log | 8.0 | 328 | 2.7757 | |
| | No log | 9.0 | 369 | 2.4235 | |
| | No log | 10.0 | 410 | 2.1290 | |
| | No log | 11.0 | 451 | 1.8848 | |
| | No log | 12.0 | 492 | 1.6854 | |
| | 8.4834 | 13.0 | 533 | 1.5165 | |
| | 8.4834 | 14.0 | 574 | 1.3829 | |
| | 8.4834 | 15.0 | 615 | 1.2813 | |
| | 8.4834 | 16.0 | 656 | 1.2007 | |
| | 8.4834 | 17.0 | 697 | 1.1428 | |
| | 8.4834 | 18.0 | 738 | 1.1028 | |
| | 8.4834 | 19.0 | 779 | 1.0779 | |
| | 8.4834 | 20.0 | 820 | 1.0699 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.42.4 |
| - Pytorch 2.3.1+cu121 |
| - Datasets 2.21.0 |
| - Tokenizers 0.19.1 |
| |
