Model save

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: microsoft/swin-tiny-patch4-window7-224
+base_model: nielsr/swin-tiny-patch4-window7-224-finetuned-eurosat
 tags:
 - generated_from_trainer
 datasets:
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # swin-tiny-patch4-window7-224-finetuned-eurosat
 
-This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
+This model is a fine-tuned version of [nielsr/swin-tiny-patch4-window7-224-finetuned-eurosat](https://huggingface.co/nielsr/swin-tiny-patch4-window7-224-finetuned-eurosat) on the imagefolder dataset.
 
 ## Model description
 
@@ -34,7 +34,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 0.001
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42

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"
   ],
@@ -61,6 +61,7 @@
   ],
   "patch_size": 4,
   "path_norm": true,
+  "problem_type": "single_label_classification",
   "qkv_bias": true,
   "stage_names": [
     "stem",

model.safetensors

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training_args.bin

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