Update model configuration

config.json

@@ -1,56 +1,9 @@
 {
-  "architectures": [
-    "BPINN"
-  ],
-  "framework": "pytorch",
-  "model_name": "BPINNs",
-  "model_type": "bpinns",
-  "source_config": "conf/config.yaml",
-  "root": {
-    "common": {
-      "device": "auto",
-      "dtype": "float64",
-      "seed": 1234,
-      "weight_dir": "weight",
-      "result_dir": "result"
-    },
-    "model": {
-      "name": "BPINN",
-      "input_dim": 1,
-      "n_layers": 4,
-      "n_neurons": 50,
-      "n_out_sol": 1,
-      "n_out_par": 0,
-      "activation": "tanh"
-    },
-    "training": {
-      "epochs": 10000,
-      "lr": 0.001,
-      "lbfgs_iters": 2000,
-      "refinement_lr": 1.0,
-      "log_interval": 500,
-      "checkpoint_name": "bpinn_laplace1d.pt",
-      "refined_checkpoint_name": "bpinn_laplace1d_refined.pt"
-    },
-    "loss": {
-      "data": 10.0,
-      "pde": 1.0,
-      "boundary": 10.0
-    },
-    "data": {
-      "domain": [
-        0.0,
-        1.0
-      ],
-      "n_sol": 200,
-      "n_pde": 1000,
-      "noise_std": 0.0,
-      "test_res": 200
-    },
-    "inference": {
-      "predictions_name": "bpinn_laplace1d.npz",
-      "figure_name": "bpinn_laplace1d.png",
-      "history_name": "training_history.npz"
-    }
-  }
+  "name": "BPINN",
+  "input_dim": 1,
+  "n_layers": 4,
+  "n_neurons": 50,
+  "n_out_sol": 1,
+  "n_out_par": 0,
+  "activation": "tanh"
 }