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@@ -9,14 +9,14 @@ metrics:
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  - f1
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  - accuracy
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  model-index:
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- - name: anonymouspd/SecureBERT-DNRTI
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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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- # anonymouspd/SecureBERT-DNRTI
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  This model is a fine-tuned version of [ehsanaghaei/SecureBERT](https://huggingface.co/ehsanaghaei/SecureBERT) on the [DNRTI](https://github.com/SCreaMxp/DNRTI-A-Large-scale-Dataset-for-Named-Entity-Recognition-in-Threat-Intelligence) dataset.
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  It achieves the following results on the evaluation set:
@@ -82,3 +82,20 @@ The following hyperparameters were used during training:
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  - Pytorch 2.1.0+cu118
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  - Datasets 2.14.6
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  - Tokenizers 0.14.1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - f1
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  - accuracy
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  model-index:
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+ - name: Cyber-ThreaD/SecureBERT-DNRTI
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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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+ # Cyber-ThreaD/SecureBERT-DNRTI
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  This model is a fine-tuned version of [ehsanaghaei/SecureBERT](https://huggingface.co/ehsanaghaei/SecureBERT) on the [DNRTI](https://github.com/SCreaMxp/DNRTI-A-Large-scale-Dataset-for-Named-Entity-Recognition-in-Threat-Intelligence) dataset.
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  It achieves the following results on the evaluation set:
 
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  - Pytorch 2.1.0+cu118
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  - Datasets 2.14.6
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  - Tokenizers 0.14.1
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+
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+ ### Citing & Authors
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+
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+ If you use the model kindly cite the following work
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+
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+ ```
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+ @inproceedings{deka2024attacker,
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+ title={AttackER: Towards Enhancing Cyber-Attack Attribution with a Named Entity Recognition Dataset},
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+ author={Deka, Pritam and Rajapaksha, Sampath and Rani, Ruby and Almutairi, Amirah and Karafili, Erisa},
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+ booktitle={International Conference on Web Information Systems Engineering},
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+ pages={255--270},
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+ year={2024},
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+ organization={Springer}
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+ }
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+
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+ ```