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  1. README.md +1 -33
  2. model/model.safetensors +1 -1
  3. training_log_history.json +17 -25
README.md CHANGED
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  | Target repo | `HID-APP/script-detector-microsoft-codebert-base` |
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  | Datasets | `HID-APP/All-combined` |
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  | Text column | `text` |
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- | Epochs | 3.0000 |
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  | Max length | 512 |
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  | Train batch size | 4 |
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  | Eval batch size | 8 |
@@ -38,35 +38,3 @@
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  | 2.0000 | 746 | | 0.5214 | 0.8291 | 0.8015 | 0.9943 | 0.8875 |
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  | 3.0000 | 1119 | 2.6190 | | | | | |
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  | 3.0000 | 1119 | | 0.5194 | 0.8360 | 0.8383 | 0.9396 | 0.8860 |
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-
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- ## Final Test Summary
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-
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- | Split | Accuracy | Malicious Precision | Malicious Recall | Malicious F1 | Loss |
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- | --- | --- | --- | --- | --- | --- |
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- | test | 0.7846 | 0.7636 | 0.9598 | 0.8505 | 0.7020 |
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-
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- ## Final Test Classification Report
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-
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- | Class | Precision | Recall | F1 | Support |
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- | --- | --- | --- | --- | --- |
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- | benign | 0.8701 | 0.4753 | 0.6147 | 465.0000 |
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- | malicious | 0.7636 | 0.9598 | 0.8505 | 821.0000 |
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- | macro avg | 0.8168 | 0.7175 | 0.7326 | 1286.0000 |
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- | weighted avg | 0.8021 | 0.7846 | 0.7653 | 1286.0000 |
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- | accuracy | | | 0.7846 | |
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-
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- ## Final Test Confusion Matrix
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-
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- | | Pred benign | Pred malicious |
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- | --- | --- | --- |
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- | Actual benign | 221 | 244 |
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- | Actual malicious | 33 | 788 |
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-
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- ## Final Test Grouped By Original Sample
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-
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- Chunk rows: `1286`; original samples: `1286`.
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-
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- | Pooling | Original Samples | Accuracy | Malicious Precision | Malicious Recall | Malicious F1 |
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- | --- | --- | --- | --- | --- | --- |
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- | max_pool | 1286 | 0.7846 | 0.7636 | 0.9598 | 0.8505 |
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- | mean_pool | 1286 | 0.7846 | 0.7636 | 0.9598 | 0.8505 |
 
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  | Target repo | `HID-APP/script-detector-microsoft-codebert-base` |
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  | Datasets | `HID-APP/All-combined` |
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  | Text column | `text` |
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+ | Epochs | 9.0000 |
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  | Max length | 512 |
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  | Train batch size | 4 |
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  | Eval batch size | 8 |
 
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  | 2.0000 | 746 | | 0.5214 | 0.8291 | 0.8015 | 0.9943 | 0.8875 |
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  | 3.0000 | 1119 | 2.6190 | | | | | |
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  | 3.0000 | 1119 | | 0.5194 | 0.8360 | 0.8383 | 0.9396 | 0.8860 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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