isaacwilliam4/insyt
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README.md
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- accuracy
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- f1
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model-index:
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- name:
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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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#
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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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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- F1: 0.9994
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## Labels
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| label | labelname |
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|-------|------------------------------------------------------------------|
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| 0 | attacker:dnsteal:dnsteal-dropped |
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| 1 | attacker:dnsteal:dnsteal-received |
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| 2 | attacker:dnsteal:exfiltration-service |
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| 3 | attacker_change_user:escalate |
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| 4 | attacker_change_user:escalate:escalated_command:escalated_sudo_command |
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| 5 | attacker_http:dirb:foothold |
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| 6 | attacker_http:foothold:service_scan |
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| 7 | attacker_http:foothold:webshell_cmd |
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| 8 | attacker_http:foothold:webshell_upload |
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| 9 | attacker_http:foothold:wpscan |
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| 10 | attacker_vpn:escalate |
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| 11 | attacker_vpn:foothold |
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| 12 | benign |
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| 13 | crack_passwords:escalate |
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| 14 | dirb:foothold |
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| 15 | dns_scan:foothold |
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| 16 | escalate:escalated_command:escalated_sudo_command |
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| 17 | escalate:escalated_command:escalated_sudo_command:escalated_sudo_session |
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| 18 | escalate:webshell_cmd |
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| 19 | foothold:network_scan |
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| 20 | foothold:service_scan |
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| 21 | foothold:traceroute |
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| 22 | foothold:wpscan |
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## Model description
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- accuracy
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- f1
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model-index:
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- name: distilbert-base-uncased-logline-v3
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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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# 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 None dataset.
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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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- F1: 0.9994
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## Model description
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