nielsr
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swin-tiny-patch4-window7-224-finetuned-eurosat

Image Classification Transformers PyTorch TensorBoard

swin generated_from_trainer Eval Results Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

nielsr HF staff

librarian-bot commited on Sep 11, 2023

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28a1692

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1 Parent(s): 2164338

Librarian Bot: Add base_model information to model (#2)

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- Librarian Bot: Add base_model information to model (18bfffd5c6b9c6af9ab3594f9573068c7c10e7f9)

Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>

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README.md +4 -3

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@@ -6,20 +6,21 @@ datasets:
 - image_folder
 metrics:
 - accuracy
 model-index:
 - name: swin-tiny-patch4-window7-224-finetuned-eurosat
   results:
   - task:
-      name: Image Classification
       type: image-classification
     dataset:
       name: image_folder
       type: image_folder
       args: default
     metrics:
-    - name: Accuracy
-      type: accuracy
       value: 0.9744444444444444
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You

 - image_folder
 metrics:
 - accuracy
+base_model: microsoft/swin-tiny-patch4-window7-224
 model-index:
 - name: swin-tiny-patch4-window7-224-finetuned-eurosat
   results:
   - task:
       type: image-classification
+      name: Image Classification
     dataset:
       name: image_folder
       type: image_folder
       args: default
     metrics:
+    - type: accuracy
       value: 0.9744444444444444
+      name: Accuracy
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You