Update config.json

config.json

@@ -1,63 +1,33 @@
 {
+  "_name_or_path": "google/vit-base-patch16-224",
   "architectures": [
     "ViTForImageClassification"
   ],
-  "model_type": "vit",
-  "hidden_size": 768,
-  "num_hidden_layers": 12,
-  "num_attention_heads": 12,
-  "intermediate_size": 3072,
+  "attention_probs_dropout_prob": 0.0,
+  "custom_ensemble_info": {
+    "threshold": 0.58
+  },
+  "encoder_stride": 16,
   "hidden_act": "gelu",
-  "image_size": 224,
-  "patch_size": 16,
-  "num_channels": 3,
-  "num_labels": 2,
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
   "id2label": {
     "0": "fake",
     "1": "real"
   },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
   "label2id": {
     "fake": 0,
     "real": 1
   },
-  "classifier_dropout_prob": 0.1,
-  "initializer_range": 0.02,
   "layer_norm_eps": 1e-12,
-  "is_encoder_decoder": false,
-  "use_cache": true,
-  "torch_dtype": "float32",
-  "transformers_version": "4.28.0",
-  "custom_ensemble_info": {
-    "ensemble_models": [
-      {
-        "model_type": "vit",
-        "hidden_size": 768,
-        "num_hidden_layers": 12,
-        "num_attention_heads": 12,
-        "intermediate_size": 3072,
-        "hidden_act": "gelu",
-        "image_size": 224,
-        "patch_size": 16
-      },
-      {
-        "model_type": "resnet",
-        "depth": 50,
-        "num_channels": 3,
-        "embedding_size": 2048
-      },
-      {
-        "model_type": "efficientnet",
-        "width_coefficient": 1.4,
-        "depth_coefficient": 1.8,
-        "dropout_rate": 0.4
-      }
-    ],
-    "distilled_model": {
-      "model_type": "efficientnet",
-      "width_coefficient": 1.4,
-      "depth_coefficient": 1.8,
-      "dropout_rate": 0.4
-    },
-    "threshold": 0.58
-  }
-}
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "qkv_bias": true,
+  "transformers_version": "4.41.2"
+}