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--- |
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license: apache-2.0 |
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base_model: google/flan-t5-small |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: multiclass_vulnerability_classifier |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# multiclass_vulnerability_classifier |
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0699 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 41 | 30.4020 | |
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| No log | 2.0 | 82 | 9.8970 | |
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| No log | 3.0 | 123 | 5.3734 | |
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| No log | 4.0 | 164 | 4.3631 | |
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| No log | 5.0 | 205 | 3.9439 | |
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| No log | 6.0 | 246 | 3.5538 | |
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| No log | 7.0 | 287 | 3.1623 | |
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| No log | 8.0 | 328 | 2.7757 | |
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| No log | 9.0 | 369 | 2.4235 | |
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| No log | 10.0 | 410 | 2.1290 | |
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| No log | 11.0 | 451 | 1.8848 | |
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| No log | 12.0 | 492 | 1.6854 | |
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| 8.4834 | 13.0 | 533 | 1.5165 | |
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| 8.4834 | 14.0 | 574 | 1.3829 | |
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| 8.4834 | 15.0 | 615 | 1.2813 | |
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| 8.4834 | 16.0 | 656 | 1.2007 | |
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| 8.4834 | 17.0 | 697 | 1.1428 | |
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| 8.4834 | 18.0 | 738 | 1.1028 | |
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| 8.4834 | 19.0 | 779 | 1.0779 | |
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| 8.4834 | 20.0 | 820 | 1.0699 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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