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@@ -8,6 +8,8 @@ metrics:
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  model-index:
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  - name: swin-tiny-patch4-window7-224-finetuned-eurosat
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  results: []
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # swin-tiny-patch4-window7-224-finetuned-eurosat
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- This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.9383
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  - Accuracy: 0.7506
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  - Transformers 4.41.1
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  - Pytorch 2.3.0+cu121
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  - Datasets 2.19.1
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- - Tokenizers 0.19.1
 
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  model-index:
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  - name: swin-tiny-patch4-window7-224-finetuned-eurosat
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  results: []
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+ language:
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+ - en
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # swin-tiny-patch4-window7-224-finetuned-eurosat
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+ This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on [ethz/food101](https://huggingface.co/datasets/ethz/food101) dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.9383
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  - Accuracy: 0.7506
 
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  - Transformers 4.41.1
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  - Pytorch 2.3.0+cu121
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  - Datasets 2.19.1
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+ - Tokenizers 0.19.1