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@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # distilbert-base-uncased-logline-v3
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- This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the AIT Log Data Set V2.0 dataset<sup>1</sup>.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0022
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  - Accuracy: 0.9995
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  ## Model description
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  This model is meant for text classification of log files for network intrusion detection. The python package that runs this model can be found here -> https://github.com/Isaacwilliam4/INSyT.
 
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  ## Labels
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  | Label | Label Name |
 
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  # distilbert-base-uncased-logline-v3
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the AIT Log Data Set V2.0 dataset<sup>1</sup>, https://zenodo.org/records/5789064.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0022
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  - Accuracy: 0.9995
 
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  ## Model description
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  This model is meant for text classification of log files for network intrusion detection. The python package that runs this model can be found here -> https://github.com/Isaacwilliam4/INSyT.
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+ As mentioned on their site, this model was trained on the following logs: Apache access and error logs, authentication logs, DNS logs, VPN logs, audit logs, Suricata logs, network traffic packet captures, horde logs, exim logs, syslog, and system monitoring logs.
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  ## Labels
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  | Label | Label Name |