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train_config.json

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+{
+  "model_name": "microsoft/graphcodebert-base",
+  "max_len": 512,
+  "batch_size": 16,
+  "accum_steps": 2,
+  "lr": 2e-05,
+  "seed": 42,
+  "epochs_ran": 10,
+  "best_val_f1": 0.9902200488997555,
+  "test_metrics": {
+    "accuracy": 0.9927095990279465,
+    "precision": 0.9901477832512315,
+    "recall": 0.995049504950495,
+    "f1": 0.9925925925925926,
+    "roc_auc": 0.999288144804934
+  }
+}