cynthiachan commited on
Commit
2d6d9e1
1 Parent(s): 5b950cb

update model

Browse files
README.md CHANGED
@@ -4,48 +4,71 @@ tags:
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  - generated_from_trainer
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  datasets:
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  - cynthiachan/FeedRef_10pct
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- metrics:
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- - precision
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- - recall
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- - f1
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- - accuracy
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  model-index:
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- - name: training_3
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- results:
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- - task:
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- name: Token Classification
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- type: token-classification
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- dataset:
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- name: cynthiachan/FeedRef_10pct
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- type: cynthiachan/FeedRef_10pct
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- args: FeedRef_10pct
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- metrics:
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- - name: Precision
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- type: precision
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- value: 0.6786570743405276
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- - name: Recall
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- type: recall
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- value: 0.8372781065088757
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- - name: F1
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- type: f1
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- value: 0.7496688741721853
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- - name: Accuracy
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- type: accuracy
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- value: 0.9678051829961355
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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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- # training_3
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the cynthiachan/FeedRef_10pct dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1302
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- - Precision: 0.6787
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- - Recall: 0.8373
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- - F1: 0.7497
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- - Accuracy: 0.9678
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Model description
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@@ -74,21 +97,21 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 0.3927 | 0.37 | 500 | 0.2362 | 0.2854 | 0.4112 | 0.3370 | 0.9431 |
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- | 0.1994 | 0.75 | 1000 | 0.1656 | 0.4762 | 0.6509 | 0.55 | 0.9550 |
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- | 0.1541 | 1.12 | 1500 | 0.1437 | 0.5608 | 0.7367 | 0.6368 | 0.9602 |
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- | 0.1275 | 1.5 | 2000 | 0.1497 | 0.6090 | 0.7604 | 0.6763 | 0.9638 |
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- | 0.1184 | 1.87 | 2500 | 0.1302 | 0.6787 | 0.8373 | 0.7497 | 0.9678 |
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- | 0.0753 | 2.25 | 3000 | 0.1375 | 0.7454 | 0.8314 | 0.7860 | 0.9698 |
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- | 0.0613 | 2.62 | 3500 | 0.1465 | 0.8254 | 0.8669 | 0.8456 | 0.9736 |
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- | 0.0577 | 3.0 | 4000 | 0.1334 | 0.8144 | 0.8698 | 0.8412 | 0.9746 |
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  ### Framework versions
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- - Transformers 4.20.0
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- - Pytorch 1.11.0+cu102
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- - Datasets 2.3.2
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  - Tokenizers 0.12.1
 
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  - generated_from_trainer
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  datasets:
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  - cynthiachan/FeedRef_10pct
 
 
 
 
 
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  model-index:
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+ - name: training
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+ results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
10
  ---
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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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+ # training
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the cynthiachan/FeedRef_10pct dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1291
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+ - Attackid Precision: 1.0
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+ - Attackid Recall: 1.0
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+ - Attackid F1: 1.0
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+ - Attackid Number: 6
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+ - Cve Precision: 0.8333
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+ - Cve Recall: 0.9091
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+ - Cve F1: 0.8696
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+ - Cve Number: 11
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+ - Defenderthreat Precision: 0.0
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+ - Defenderthreat Recall: 0.0
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+ - Defenderthreat F1: 0.0
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+ - Defenderthreat Number: 2
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+ - Domain Precision: 0.7826
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+ - Domain Recall: 0.7826
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+ - Domain F1: 0.7826
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+ - Domain Number: 23
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+ - Email Precision: 0.6667
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+ - Email Recall: 0.6667
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+ - Email F1: 0.6667
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+ - Email Number: 3
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+ - Filepath Precision: 0.6766
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+ - Filepath Recall: 0.8242
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+ - Filepath F1: 0.7432
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+ - Filepath Number: 165
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+ - Hostname Precision: 1.0
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+ - Hostname Recall: 0.9167
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+ - Hostname F1: 0.9565
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+ - Hostname Number: 12
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+ - Ipv4 Precision: 0.8333
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+ - Ipv4 Recall: 0.8333
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+ - Ipv4 F1: 0.8333
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+ - Ipv4 Number: 12
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+ - Md5 Precision: 0.7246
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+ - Md5 Recall: 0.9615
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+ - Md5 F1: 0.8264
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+ - Md5 Number: 52
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+ - Sha1 Precision: 0.0667
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+ - Sha1 Recall: 0.1429
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+ - Sha1 F1: 0.0909
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+ - Sha1 Number: 7
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+ - Sha256 Precision: 0.6780
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+ - Sha256 Recall: 0.9091
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+ - Sha256 F1: 0.7767
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+ - Sha256 Number: 44
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+ - Uri Precision: 0.0
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+ - Uri Recall: 0.0
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+ - Uri F1: 0.0
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+ - Uri Number: 1
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+ - Overall Precision: 0.6910
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+ - Overall Recall: 0.8402
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+ - Overall F1: 0.7583
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+ - Overall Accuracy: 0.9725
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73
  ## Model description
74
 
 
97
 
98
  ### Training results
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100
+ | Training Loss | Epoch | Step | Validation Loss | Attackid Precision | Attackid Recall | Attackid F1 | Attackid Number | Cve Precision | Cve Recall | Cve F1 | Cve Number | Defenderthreat Precision | Defenderthreat Recall | Defenderthreat F1 | Defenderthreat Number | Domain Precision | Domain Recall | Domain F1 | Domain Number | Email Precision | Email Recall | Email F1 | Email Number | Filepath Precision | Filepath Recall | Filepath F1 | Filepath Number | Hostname Precision | Hostname Recall | Hostname F1 | Hostname Number | Ipv4 Precision | Ipv4 Recall | Ipv4 F1 | Ipv4 Number | Md5 Precision | Md5 Recall | Md5 F1 | Md5 Number | Sha1 Precision | Sha1 Recall | Sha1 F1 | Sha1 Number | Sha256 Precision | Sha256 Recall | Sha256 F1 | Sha256 Number | Uri Precision | Uri Recall | Uri F1 | Uri Number | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:------------------:|:---------------:|:-----------:|:---------------:|:-------------:|:----------:|:------:|:----------:|:------------------------:|:---------------------:|:-----------------:|:---------------------:|:----------------:|:-------------:|:---------:|:-------------:|:---------------:|:------------:|:--------:|:------------:|:------------------:|:---------------:|:-----------:|:---------------:|:------------------:|:---------------:|:-----------:|:---------------:|:--------------:|:-----------:|:-------:|:-----------:|:-------------:|:----------:|:------:|:----------:|:--------------:|:-----------:|:-------:|:-----------:|:----------------:|:-------------:|:---------:|:-------------:|:-------------:|:----------:|:------:|:----------:|:-----------------:|:--------------:|:----------:|:----------------:|
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+ | 0.3943 | 0.37 | 500 | 0.2881 | 0.0 | 0.0 | 0.0 | 6 | 0.0 | 0.0 | 0.0 | 11 | 0.0 | 0.0 | 0.0 | 2 | 0.0 | 0.0 | 0.0 | 23 | 0.0 | 0.0 | 0.0 | 3 | 0.1138 | 0.2 | 0.1451 | 165 | 0.0692 | 0.9167 | 0.1287 | 12 | 0.4706 | 0.6667 | 0.5517 | 12 | 0.75 | 0.9231 | 0.8276 | 52 | 0.0 | 0.0 | 0.0 | 7 | 0.5694 | 0.9318 | 0.7069 | 44 | 0.0 | 0.0 | 0.0 | 1 | 0.2342 | 0.4172 | 0.3 | 0.9360 |
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+ | 0.1987 | 0.75 | 1000 | 0.1722 | 0.5 | 1.0 | 0.6667 | 6 | 1.0 | 1.0 | 1.0 | 11 | 0.0 | 0.0 | 0.0 | 2 | 0.0 | 0.0 | 0.0 | 23 | 0.0 | 0.0 | 0.0 | 3 | 0.4779 | 0.6545 | 0.5524 | 165 | 0.25 | 0.6667 | 0.3636 | 12 | 0.6923 | 0.75 | 0.7200 | 12 | 0.6364 | 0.9423 | 0.7597 | 52 | 0.0 | 0.0 | 0.0 | 7 | 0.6545 | 0.8182 | 0.7273 | 44 | 0.0 | 0.0 | 0.0 | 1 | 0.5136 | 0.6716 | 0.5821 | 0.9529 |
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+ | 0.1595 | 1.12 | 1500 | 0.1346 | 0.8571 | 1.0 | 0.9231 | 6 | 1.0 | 1.0 | 1.0 | 11 | 0.0 | 0.0 | 0.0 | 2 | 0.4286 | 0.5217 | 0.4706 | 23 | 0.0 | 0.0 | 0.0 | 3 | 0.5797 | 0.7273 | 0.6452 | 165 | 0.44 | 0.9167 | 0.5946 | 12 | 0.3929 | 0.9167 | 0.55 | 12 | 0.6364 | 0.9423 | 0.7597 | 52 | 0.0 | 0.0 | 0.0 | 7 | 0.78 | 0.8864 | 0.8298 | 44 | 0.0 | 0.0 | 0.0 | 1 | 0.5768 | 0.7663 | 0.6582 | 0.9658 |
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+ | 0.118 | 1.5 | 2000 | 0.1436 | 1.0 | 1.0 | 1.0 | 6 | 1.0 | 1.0 | 1.0 | 11 | 0.0 | 0.0 | 0.0 | 2 | 0.6087 | 0.6087 | 0.6087 | 23 | 0.0 | 0.0 | 0.0 | 3 | 0.6101 | 0.8061 | 0.6945 | 165 | 0.9091 | 0.8333 | 0.8696 | 12 | 0.7273 | 0.6667 | 0.6957 | 12 | 0.7869 | 0.9231 | 0.8496 | 52 | 0.2143 | 0.4286 | 0.2857 | 7 | 0.7407 | 0.9091 | 0.8163 | 44 | 0.0 | 0.0 | 0.0 | 1 | 0.6675 | 0.8077 | 0.7309 | 0.9686 |
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+ | 0.1198 | 1.87 | 2500 | 0.1385 | 1.0 | 1.0 | 1.0 | 6 | 0.7692 | 0.9091 | 0.8333 | 11 | 0.0 | 0.0 | 0.0 | 2 | 0.85 | 0.7391 | 0.7907 | 23 | 0.0 | 0.0 | 0.0 | 3 | 0.6390 | 0.7939 | 0.7081 | 165 | 1.0 | 0.8333 | 0.9091 | 12 | 0.5333 | 0.6667 | 0.5926 | 12 | 0.7778 | 0.9423 | 0.8522 | 52 | 0.3333 | 0.5714 | 0.4211 | 7 | 0.8571 | 0.9545 | 0.9032 | 44 | 0.0 | 0.0 | 0.0 | 1 | 0.6995 | 0.8195 | 0.7548 | 0.9687 |
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+ | 0.0742 | 2.25 | 3000 | 0.1291 | 1.0 | 1.0 | 1.0 | 6 | 0.8333 | 0.9091 | 0.8696 | 11 | 0.0 | 0.0 | 0.0 | 2 | 0.7826 | 0.7826 | 0.7826 | 23 | 0.6667 | 0.6667 | 0.6667 | 3 | 0.6766 | 0.8242 | 0.7432 | 165 | 1.0 | 0.9167 | 0.9565 | 12 | 0.8333 | 0.8333 | 0.8333 | 12 | 0.7246 | 0.9615 | 0.8264 | 52 | 0.0667 | 0.1429 | 0.0909 | 7 | 0.6780 | 0.9091 | 0.7767 | 44 | 0.0 | 0.0 | 0.0 | 1 | 0.6910 | 0.8402 | 0.7583 | 0.9725 |
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+ | 0.0687 | 2.62 | 3500 | 0.1385 | 1.0 | 1.0 | 1.0 | 6 | 1.0 | 1.0 | 1.0 | 11 | 0.0 | 0.0 | 0.0 | 2 | 0.8077 | 0.9130 | 0.8571 | 23 | 1.0 | 1.0 | 1.0 | 3 | 0.7746 | 0.8121 | 0.7929 | 165 | 0.7333 | 0.9167 | 0.8148 | 12 | 0.7143 | 0.8333 | 0.7692 | 12 | 0.96 | 0.9231 | 0.9412 | 52 | 0.4444 | 0.5714 | 0.5 | 7 | 0.8113 | 0.9773 | 0.8866 | 44 | 0.0 | 0.0 | 0.0 | 1 | 0.8083 | 0.8609 | 0.8338 | 0.9737 |
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+ | 0.0652 | 3.0 | 4000 | 0.1299 | 1.0 | 1.0 | 1.0 | 6 | 1.0 | 1.0 | 1.0 | 11 | 0.0 | 0.0 | 0.0 | 2 | 0.8077 | 0.9130 | 0.8571 | 23 | 1.0 | 1.0 | 1.0 | 3 | 0.7553 | 0.8606 | 0.8045 | 165 | 0.8462 | 0.9167 | 0.8800 | 12 | 0.7143 | 0.8333 | 0.7692 | 12 | 0.8571 | 0.9231 | 0.8889 | 52 | 0.75 | 0.8571 | 0.8000 | 7 | 0.8723 | 0.9318 | 0.9011 | 44 | 0.0 | 0.0 | 0.0 | 1 | 0.8038 | 0.8846 | 0.8423 | 0.9772 |
110
 
111
 
112
  ### Framework versions
113
 
114
+ - Transformers 4.21.2
115
+ - Pytorch 1.12.1+cu102
116
+ - Datasets 2.4.0
117
  - Tokenizers 0.12.1
all_results.json ADDED
@@ -0,0 +1,125 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "epoch": 3.0,
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+ "eval_attackID_f1": 1.0,
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+ "eval_attackID_number": 6,
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+ "eval_attackID_precision": 1.0,
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+ "eval_attackID_recall": 1.0,
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+ "eval_cve_f1": 0.8695652173913043,
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+ "eval_defenderThreat_f1": 0.0,
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+ "eval_domain_f1": 0.782608695652174,
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+ "eval_domain_precision": 0.782608695652174,
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+ "eval_domain_recall": 0.782608695652174,
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+ "eval_email_f1": 0.6666666666666666,
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+ "eval_email_number": 3,
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+ "eval_email_precision": 0.6666666666666666,
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+ "eval_email_recall": 0.6666666666666666,
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+ "eval_filepath_f1": 0.7431693989071038,
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+ "eval_filepath_number": 165,
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+ "eval_filepath_precision": 0.6766169154228856,
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+ "eval_filepath_recall": 0.8242424242424242,
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+ "eval_hostname_f1": 0.9565217391304348,
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+ "eval_hostname_number": 12,
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+ "eval_hostname_precision": 1.0,
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+ "eval_hostname_recall": 0.9166666666666666,
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+ "eval_ipv4_f1": 0.8333333333333334,
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+ "eval_ipv4_number": 12,
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+ "eval_ipv4_precision": 0.8333333333333334,
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+ "eval_ipv4_recall": 0.8333333333333334,
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+ "eval_loss": 0.12905733287334442,
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+ "eval_md5_f1": 0.8264462809917356,
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+ "eval_md5_number": 52,
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+ "eval_md5_precision": 0.7246376811594203,
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+ "eval_md5_recall": 0.9615384615384616,
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+ "eval_overall_accuracy": 0.9725221641282109,
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+ "eval_overall_f1": 0.7583444592790387,
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+ "eval_overall_precision": 0.6909975669099757,
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+ "eval_overall_recall": 0.8402366863905325,
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+ "eval_runtime": 134.4538,
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+ "eval_samples": 1334,
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+ "eval_samples_per_second": 9.922,
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+ "eval_sha1_f1": 0.09090909090909091,
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+ "eval_sha1_number": 7,
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+ "eval_sha1_precision": 0.06666666666666667,
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+ "eval_sha1_recall": 0.14285714285714285,
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+ "eval_sha256_f1": 0.7766990291262135,
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+ "eval_sha256_number": 44,
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+ "eval_sha256_precision": 0.6779661016949152,
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+ "eval_sha256_recall": 0.9090909090909091,
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+ "eval_steps_per_second": 1.242,
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+ "eval_uri_f1": 0.0,
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+ "eval_uri_number": 1,
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+ "eval_uri_precision": 0.0,
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+ "eval_uri_recall": 0.0,
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+ "predict_attackID_f1": 0.56,
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+ "predict_attackID_number": 7,
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+ "predict_attackID_precision": 0.3888888888888889,
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+ "predict_attackID_recall": 1.0,
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+ "predict_bitcoinAddr_f1": 0.0,
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+ "predict_bitcoinAddr_number": 1,
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+ "predict_bitcoinAddr_precision": 0.0,
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+ "predict_bitcoinAddr_recall": 0.0,
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+ "predict_cve_f1": 1.0,
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+ "predict_cve_number": 4,
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+ "predict_domain_f1": 0.8108108108108109,
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+ "predict_domain_number": 16,
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+ "predict_email_f1": 0.9333333333333333,
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+ "predict_email_number": 7,
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+ "predict_email_precision": 0.875,
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+ "predict_email_recall": 1.0,
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+ "predict_filepath_f1": 0.6628571428571429,
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+ "predict_hostname_precision": 0.6923076923076923,
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+ "predict_ipv6_f1": 0.0,
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+ "predict_md5_f1": 0.8541666666666667,
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+ "predict_md5_precision": 0.7735849056603774,
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+ "predict_md5_recall": 0.9534883720930233,
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+ "predict_overall_accuracy": 0.9694030870099714,
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+ "predict_overall_f1": 0.7312138728323699,
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+ "predict_overall_precision": 0.6537467700258398,
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+ "predict_sha1_f1": 0.0,
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+ "predict_sha1_number": 4,
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+ "predict_sha1_recall": 0.0,
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+ "predict_sha256_f1": 0.8666666666666666,
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+ "predict_sha256_precision": 0.8297872340425532,
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+ "predict_sha256_recall": 0.9069767441860465,
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+ "predict_steps_per_second": 1.098,
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+ "predict_uri_f1": 0.0,
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+ "predict_uri_number": 3,
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+ "predict_uri_precision": 0.0,
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+ "predict_uri_recall": 0.0,
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+ "train_loss": 0.14999645981176205,
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+ "train_runtime": 15237.6945,
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+ "train_samples": 10671,
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+ "train_samples_per_second": 2.101,
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+ "train_steps_per_second": 0.263
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+ }
config.json CHANGED
@@ -94,7 +94,7 @@
94
  "pad_token_id": 0,
95
  "position_embedding_type": "absolute",
96
  "torch_dtype": "float32",
97
- "transformers_version": "4.20.0",
98
  "type_vocab_size": 2,
99
  "use_cache": true,
100
  "vocab_size": 28996
 
94
  "pad_token_id": 0,
95
  "position_embedding_type": "absolute",
96
  "torch_dtype": "float32",
97
+ "transformers_version": "4.21.2",
98
  "type_vocab_size": 2,
99
  "use_cache": true,
100
  "vocab_size": 28996
eval_results.json ADDED
@@ -0,0 +1,60 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "epoch": 3.0,
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+ "eval_attackID_f1": 1.0,
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+ "eval_attackID_number": 6,
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+ "eval_attackID_precision": 1.0,
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+ "eval_attackID_recall": 1.0,
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+ "eval_cve_f1": 0.8695652173913043,
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+ "eval_cve_number": 11,
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+ "eval_cve_precision": 0.8333333333333334,
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+ "eval_cve_recall": 0.9090909090909091,
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+ "eval_defenderThreat_f1": 0.0,
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+ "eval_defenderThreat_number": 2,
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+ "eval_defenderThreat_precision": 0.0,
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+ "eval_defenderThreat_recall": 0.0,
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+ "eval_domain_f1": 0.782608695652174,
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+ "eval_domain_number": 23,
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+ "eval_domain_precision": 0.782608695652174,
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+ "eval_domain_recall": 0.782608695652174,
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+ "eval_email_f1": 0.6666666666666666,
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+ "eval_email_number": 3,
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+ "eval_email_precision": 0.6666666666666666,
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+ "eval_email_recall": 0.6666666666666666,
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+ "eval_filepath_f1": 0.7431693989071038,
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+ "eval_filepath_precision": 0.6766169154228856,
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