Update model configuration

config.json

@@ -1,57 +1,10 @@
 {
-  "architectures": [
-    "UNetEx"
-  ],
-  "framework": "pytorch",
-  "model_name": "DeepCFD",
-  "model_type": "deepcfd",
-  "source_config": "config/config.yaml",
-  "root": {
-    "datapipe": {
-      "verbose": false,
-      "source": {
-        "data_dir": "./data/deepcfd",
-        "data_x_name": "dataX.pkl",
-        "data_y_name": "dataY.pkl"
-      },
-      "data": {
-        "split_ratio": 0.75,
-        "seed": 0
-      },
-      "dataloader": {
-        "batch_size": 1,
-        "num_workers": 0
-      }
-    },
-    "model": {
-      "name": "UNetEx",
-      "in_channels": 3,
-      "out_channels": 3,
-      "base_channels": 2,
-      "num_stages": 1,
-      "kernel_size": 3,
-      "bilinear": true,
-      "normtype": "none"
-    },
-    "training": {
-      "output_dir": "./weight",
-      "checkpoint_name": "best_model.pt",
-      "num_epochs": 1,
-      "lr": 0.001,
-      "weight_decay": 0.005,
-      "patience": 20,
-      "eval_interval": 1
-    },
-    "inference": {
-      "checkpoint_path": "./weight/best_model.pt",
-      "result_dir": "./result/deepcfd",
-      "num_visualize": 2
-    },
-    "fake_data": {
-      "num_samples": 4,
-      "height": 16,
-      "width": 16,
-      "seed": 42
-    }
-  }
+  "name": "UNetEx",
+  "in_channels": 3,
+  "out_channels": 3,
+  "base_channels": 2,
+  "num_stages": 1,
+  "kernel_size": 3,
+  "bilinear": true,
+  "normtype": "none"
 }