Update config.json

config.json

@@ -1,68 +1,29 @@
 {
-  "_name_or_path": "Parveshiiii/Image-Classifier",
   "_num_labels": 2,
   "architectures": [
     "Swinv2ForImageClassification"
   ],
-  "attention_probs_dropout_prob": 0.0,
-  "depths": [
-    2,
-    2,
-    18,
-    2
-  ],
+  "depths": [2, 2, 18, 2],
   "drop_path_rate": 0.1,
   "embed_dim": 192,
   "encoder_stride": 32,
-  "hidden_act": "gelu",
-  "hidden_dropout_prob": 0.0,
   "hidden_size": 1536,
   "id2label": {
     "0": "artificial",
     "1": "real"
   },
   "image_size": 256,
-  "initializer_range": 0.02,
   "label2id": {
     "artificial": 0,
     "real": 1
   },
-  "layer_norm_eps": 1e-05,
   "mlp_ratio": 4.0,
   "model_type": "swinv2",
   "num_channels": 3,
-  "num_heads": [
-    6,
-    12,
-    24,
-    48
-  ],
-  "num_layers": 4,
-  "out_features": [
-    "stage4"
-  ],
-  "out_indices": [
-    4
-  ],
+  "num_heads": [6, 12, 24, 48],
+  "out_features": ["stage4"],
   "patch_size": 4,
   "path_norm": true,
-  "pretrained_window_sizes": [
-    12,
-    12,
-    12,
-    6
-  ],
-  "problem_type": "single_label_classification",
-  "qkv_bias": true,
-  "stage_names": [
-    "stem",
-    "stage1",
-    "stage2",
-    "stage3",
-    "stage4"
-  ],
-  "torch_dtype": "float32",
-  "transformers_version": "4.48.0",
-  "use_absolute_embeddings": false,
+  "pretrained_window_sizes": [12, 12, 12, 6],
   "window_size": 16
 }