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--- |
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library_name: transformers |
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base_model: microsoft/codebert-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: vuln-patch-cwe-guesser-model-microsoft-codebert-base |
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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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# vuln-patch-cwe-guesser-model-microsoft-codebert-base |
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This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.4697 |
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- Accuracy: 0.4535 |
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- F1: 0.0330 |
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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: 3e-05 |
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- train_batch_size: 40 |
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- eval_batch_size: 40 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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- label_smoothing_factor: 0.1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 4.6623 | 1.0 | 20 | 4.0312 | 0.3023 | 0.0122 | |
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| 4.1733 | 2.0 | 40 | 3.9241 | 0.3721 | 0.0265 | |
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| 4.0474 | 3.0 | 60 | 3.8249 | 0.4419 | 0.0324 | |
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| 3.8755 | 4.0 | 80 | 3.5504 | 0.4651 | 0.0357 | |
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| 3.6768 | 5.0 | 100 | 3.4697 | 0.4535 | 0.0330 | |
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### Framework versions |
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- Transformers 4.55.0 |
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- Pytorch 2.7.1+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.21.2 |
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