CIRCL 发布基于 RoBERTa 的漏洞严重程度分类模型
原标题：CIRCL/vulnerability-severity-classification-roberta-base
AI 摘要
Hugging Face 上出现一个名为 CIRCL/vulnerability-severity-classification-roberta-base 的模型，基于 roberta-base 微调，用于漏洞严重程度分类。该模型在评估集上取得 0.8137 准确率和 0.7424 的 F1 Macro，其中 Medium 类别表现最好（F1 0.8516），Low 类别最差（F1 0.5550）。模型卡未说明训练数据来源和具体用途，仅列出超参数与训练曲线。
正文节选
--- library_name: transformers license: mit base_model: roberta-base tags: - generated_from_trainer metrics: - accuracy model-index: - name: vulnerability-severity-classification-roberta-base 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. --> # vulnerability-severity-classification-roberta-base This model is a fine-tuned version of [roberta-