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Kun Ma commited on
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update README

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@@ -20,12 +20,13 @@ The training corpus was papers taken from
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  * [CASIE: Extracting Cybersecurity Event Information from Text](https://ebiquity.umbc.edu/_file_directory_/papers/943.pdf)
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  * [SemEval-2018 Task 8: Semantic Extraction from CybersecUrity REports using Natural Language Processing (SecureNLP)](https://competitions.codalab.org/competitions/17262).
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- SecBERT has its own wordpiece vocabulary (secvocab) that's built to best match the training corpus. We trained [BERT](https://huggingface.co/jackaduma/SecBERT) and
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- [SecRoBERTa](https://huggingface.co/jackaduma/SecRoBERTa) versions.
 
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  Available models include:
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- * `SecBERT`
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- * `SecRoBERTa`
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  The original repo can be found [here](https://github.com/jackaduma/SecBERT).
 
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  * [CASIE: Extracting Cybersecurity Event Information from Text](https://ebiquity.umbc.edu/_file_directory_/papers/943.pdf)
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  * [SemEval-2018 Task 8: Semantic Extraction from CybersecUrity REports using Natural Language Processing (SecureNLP)](https://competitions.codalab.org/competitions/17262).
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+ SecBERT has its own wordpiece vocabulary (secvocab) that's built to best match the training corpus.
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+
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+ We trained [SecBERT](https://huggingface.co/jackaduma/SecBERT) and [SecRoBERTa](https://huggingface.co/jackaduma/SecRoBERTa) versions.
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  Available models include:
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+ * [`SecBERT`](https://huggingface.co/jackaduma/SecBERT)
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+ * [`SecRoBERTa`](https://huggingface.co/jackaduma/SecRoBERTa)
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  The original repo can be found [here](https://github.com/jackaduma/SecBERT).