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config.json

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+{
+  "model_type": "efficientnet",
+  "architectures": ["EfficientNetB4"],
+  "num_classes": 45,
+  "image_size": 384,
+  "num_channels": 3,
+  "task": "multi-label-image-classification",
+  "framework": "pytorch",
+  "training": {
+    "optimizer": "AdamW",
+    "scheduler": "CosineAnnealingLR",
+    "loss_function": "BCEWithLogitsLoss",
+    "batch_size": 5,
+    "epochs": 50,
+    "learning_rate": 1e-4,
+    "weight_decay": 1e-2
+  },
+  "performance": {
+    "best_auc": 0.8204,
+    "train_loss": 0.2118,
+    "val_loss": 0.2578,
+    "macro_f1": 0.1517,
+    "micro_f1": 0.4450
+  },
+  "normalization": {
+    "mean": [0.485, 0.456, 0.406],
+    "std": [0.229, 0.224, 0.225]
+  }
+}