Add model configuration

config.json

@@ -0,0 +1,51 @@
+{
+  "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"
+  }
+}