Frank0930
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swin-tiny-patch4-window7-224-finetuned-eurosat

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Frank0930 commited on Oct 9, 2023

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@@ -22,7 +22,7 @@ model-index:
  metrics:
  - name: Accuracy
  type: accuracy
- value: 0.9692
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 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 cifar10 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0978
-- Accuracy: 0.9692
 ## Model description
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5045 | 1.0 | 351 | 0.1534 | 0.9484 |
-| 0.4044 | 2.0 | 703 | 0.1023 | 0.9646 |
-| 0.3116 | 2.99 | 1053 | 0.0978 | 0.9692 |
 ### Framework versions

  metrics:
  - name: Accuracy
  type: accuracy
+ value: 0.9726
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 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 cifar10 dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.0864
+- Accuracy: 0.9726
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.4809 | 1.0 | 351 | 0.1388 | 0.9528 |
+| 0.3489 | 2.0 | 703 | 0.0945 | 0.9692 |
+| 0.3528 | 2.99 | 1053 | 0.0864 | 0.9726 |
 ### Framework versions