Final full upload: model files, checkpoints, evaluation results, logs, reports

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+prediction_results.csv filter=lfs diff=lfs merge=lfs -text

classification_report.txt

@@ -3,24 +3,24 @@ Hub repo: HID-APP/codebert-rd-keystrokes
 
 Validation metrics:
 {
-  "eval_loss": 0.5662792921066284,
-  "eval_accuracy": 0.8,
-  "eval_precision": 1.0,
-  "eval_recall": 0.75,
-  "eval_f1": 0.8571428571428571
+  "eval_loss": 0.1455843597650528,
+  "eval_accuracy": 0.9671551288529561,
+  "eval_precision": 0.9737360472751149,
+  "eval_recall": 0.98342175066313,
+  "eval_f1": 0.9785549323655559
 }
 
 Test metrics:
-Accuracy : 1.000000
-Precision: 1.000000
-Recall   : 1.000000
-F1       : 1.000000
+Accuracy : 0.968957
+Precision: 0.977273
+Recall   : 0.980650
+F1       : 0.978958
 
               precision    recall  f1-score   support
 
-      benign       1.00      1.00      1.00         1
-   malicious       1.00      1.00      1.00         9
+      benign       0.95      0.94      0.94       518
+   malicious       0.98      0.98      0.98      1447
 
-    accuracy                           1.00        10
-   macro avg       1.00      1.00      1.00        10
-weighted avg       1.00      1.00      1.00        10
+    accuracy                           0.97      1965
+   macro avg       0.96      0.96      0.96      1965
+weighted avg       0.97      0.97      0.97      1965

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5b8a8c115a5a2a9754a5db1ec520de081b28b2ae54c71daded8feac33b32b861
+oid sha256:504b03bfce6a7b23d48a3ebc6175558d07c34948d1639525d87db0b0602f3c81
 size 498612824

summary.json

@@ -4,8 +4,8 @@
   "output_dir": "/kaggle/working/outputs/codebert_rd_keystrokes",
   "save_eval_push_steps": 400,
   "logging_steps": 25,
-  "accuracy": 1.0,
-  "precision": 1.0,
-  "recall": 1.0,
-  "f1": 1.0
+  "accuracy": 0.9689567430025445,
+  "precision": 0.9772727272727273,
+  "recall": 0.9806496199032481,
+  "f1": 0.9789582614694722
 }

training_args.bin

@@ -1,3 +1,3 @@
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-oid sha256:0017038f09850c99466dda86103ce41cf83b08d516eb4836e92b8c7f5ed28961
+oid sha256:ab81eb8f627d496428c93c1d48c52e0479518be7570628b71c7a023704823dee
 size 5201