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@@ -24,17 +24,7 @@ It achieves the following results on the evaluation set:
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  ## Model description
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- More information needed
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- ## Intended uses & limitations
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- More information needed
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- ## Training and evaluation data
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- More information needed
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- ## Training procedure
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  ### Training hyperparameters
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@@ -55,6 +45,15 @@ The following hyperparameters were used during training:
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  | 0.0059 | 2.0 | 12548 | 0.0032 | 0.9993 | 0.9992 |
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  | 0.0023 | 3.0 | 18822 | 0.0022 | 0.9995 | 0.9994 |
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  ### Framework versions
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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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  ### Training hyperparameters
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  | 0.0059 | 2.0 | 12548 | 0.0032 | 0.9993 | 0.9992 |
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  | 0.0023 | 3.0 | 18822 | 0.0022 | 0.9995 | 0.9994 |
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+ ## Test results
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+ | Test Loss | Test Accuracy | Test F1 | Test Runtime | Test Samples/s | Test Steps/s |
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+ |:------------|:--------------|:----------|:-------------|:---------------|:-------------|
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+ | 0.0020 | 0.9994 | 0.9994 | 279.7761 | 239.166 | 7.477 |
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+ ## Test Confustion Matrix
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+ ![Confusion Matrix From Test Set](https://github.com/Isaacwilliam4/INSyT/blob/main/test_confusion_matrix.png)
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  ### Framework versions
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