Update model configuration

config.json

@@ -1,51 +1,6 @@
 {
-  "architectures": [
-    "GraphViT"
-  ],
-  "framework": "pytorch",
-  "model_name": "EagleMeshTransformer",
-  "model_type": "eaglemeshtransformer",
-  "source_config": "config/config.yaml",
-  "model": {
-    "name": "EagleMeshTransformer",
-    "architecture": "GraphViT",
-    "state_size": 4,
-    "w_size": 32
-  },
-  "datapipe": {
-    "source": {
-      "data_dir": "./data/fake/Eagle_dataset",
-      "cluster_dir": "./data/fake/Eagle_dataset",
-      "splits_dir": "./data/fake/splits"
-    },
-    "verbose": false,
-    "data": {
-      "window_length_train": 3,
-      "window_length_val": 3,
-      "window_length_test": 3,
-      "n_cluster": 1,
-      "normalized": true,
-      "type_as_onehot": true,
-      "with_cells": true
-    },
-    "dataloader": {
-      "batch_size": 1,
-      "num_workers": 0
-    }
-  },
-  "training": {
-    "max_epoch": 1,
-    "lr": 0.0001,
-    "loss_alpha": 0.1,
-    "patience": 10,
-    "checkpoint_dir": "./weight",
-    "seed": 0,
-    "device": "cpu"
-  },
-  "inference": {
-    "checkpoint_path": "./weight/best_model.pth",
-    "output_dir": "./result/output",
-    "batch_size": 1,
-    "device": "cpu"
-  }
+  "name": "EagleMeshTransformer",
+  "architecture": "GraphViT",
+  "state_size": 4,
+  "w_size": 32
 }