| license: apache-2.0 | |
| base_model: ehsanaghaei/SecureBERT | |
| tags: | |
| - cyber-threat-intelligence | |
| - information-extraction | |
| # encoder (cti_bert) | |
| Fine-tuned **ehsanaghaei/SecureBERT** for structured vulnerability-record extraction from | |
| cybersecurity news articles, from the study (encoder token-classification | |
| vs. decoder structured-generation). This is the best-performing encoder in that | |
| comparison. | |
| ## Test-set performance (entity/field-level) | |
| | micro F1 | macro F1 | | |
| |---------:|---------:| | |
| | 0.3051 | 0.3127 | | |
| See the project README for the task definition, schema, evaluation protocol, and the | |
| full per-model / per-field breakdown. | |
| Companion dataset: [`upb-nlp/NtVR`](https://huggingface.co/datasets/upb-nlp/NtVR). | |