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---
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library_name: transformers
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license:
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base_model: roberta-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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model-index:
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- name: cwe-parent-vulnerability-classification-roberta-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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#
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7510
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- Accuracy: 0.5455
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- F1 Macro: 0.3776
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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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library_name: transformers
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license: cc-by-4.0
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base_model: roberta-base
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tags:
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- generated_from_trainer
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- text-classification
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- classification
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- nlp
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- vulnerability
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- CWE
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metrics:
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- accuracy
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model-index:
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- name: cwe-parent-vulnerability-classification-roberta-base
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results: []
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datasets:
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- CIRCL/vulnerability-cwe-patch
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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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# CWE guessing
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the
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[CIRCL/vulnerability-cwe-patch](https://huggingface.co/datasets/CIRCL/vulnerability-cwe-patch) dataset.
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The goal is to predict CWE categories from Git commit messages and vulnerability descriptions. Predicted child CWEs are mapped to their parent CWEs if applicable.
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It achieves the following results on the evaluation set:
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- Loss: 1.7510
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- Accuracy: 0.5455
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- F1 Macro: 0.3776
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## Training procedure
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### Training hyperparameters
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