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pipeline_tag: text2text-generation |
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tags: |
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- STIX |
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- NER |
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- RE |
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- CTI |
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- cyber threat intelligence |
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metrics: |
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- f1: 0.4064894147513486 |
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- recall : 0.4463734567901234 |
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- precision : 0.37314814814814806 |
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--- |
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# Model Card for Model ID |
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<!-- Provide a quick summary of what the model is/does. --> |
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## Model Details |
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### Model Description |
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- Model to extract Relations from cyber threat intelligence(CTI) text. |
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- This model needs a pre/postprocessing pipeline https://github.com/l0renor/Relation-Extraction-and-Knowledge-Graph-Generation-on-MISP-Event-Reports |
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- Standalone Model: Olec/cyber_rebel_no_pipe |
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- **Developed by:** Leon Lukas |
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- **Model type:** seq2seq |
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- **Language(s) (NLP): English |
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- **Finetuned from model : mrmoor/cti-t5-RE-NYT (T5 model trained on NYT RE) |
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### Metrics test set |
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- precision: 0.37314814814814806 |
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- recall: 0.4463734567901234, |
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- f1 : 0.4064894147513486 |
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### Model Sources [optional] |
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<!-- Provide the basic links for the model. --> |
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- **Repository:** https://github.com/l0renor/Relation-Extraction-and-Knowledge-Graph-Generation-on-MISP-Event-Reports |
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- **Paper [optional]:** https://github.com/l0renor/Relation-Extraction-and-Knowledge-Graph-Generation-on-MISP-Event-Reports |
