Training in progress, epoch 0

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "microsoft/swin-tiny-patch4-window7-224",
+  "_name_or_path": "nielsr/swin-tiny-patch4-window7-224-finetuned-eurosat",
   "architectures": [
     "SwinForImageClassification"
   ],
@@ -17,30 +17,30 @@
   "hidden_dropout_prob": 0.0,
   "hidden_size": 768,
   "id2label": {
-    "0": "airplane",
-    "1": "automobile",
-    "2": "bird",
-    "3": "cat",
-    "4": "deer",
-    "5": "dog",
-    "6": "frog",
-    "7": "horse",
-    "8": "ship",
-    "9": "truck"
+    "0": "AnnualCrop",
+    "1": "Forest",
+    "2": "HerbaceousVegetation",
+    "3": "Highway",
+    "4": "Industrial",
+    "5": "Pasture",
+    "6": "PermanentCrop",
+    "7": "Residential",
+    "8": "River",
+    "9": "SeaLake"
   },
   "image_size": 224,
   "initializer_range": 0.02,
   "label2id": {
-    "airplane": 0,
-    "automobile": 1,
-    "bird": 2,
-    "cat": 3,
-    "deer": 4,
-    "dog": 5,
-    "frog": 6,
-    "horse": 7,
-    "ship": 8,
-    "truck": 9
+    "AnnualCrop": 0,
+    "Forest": 1,
+    "HerbaceousVegetation": 2,
+    "Highway": 3,
+    "Industrial": 4,
+    "Pasture": 5,
+    "PermanentCrop": 6,
+    "Residential": 7,
+    "River": 8,
+    "SeaLake": 9
   },
   "layer_norm_eps": 1e-05,
   "mlp_ratio": 4.0,

model.safetensors

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runs/May06_05-28-27_5819780813d0/events.out.tfevents.1714975661.5819780813d0.502.2

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training_args.bin

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