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

Image Classification
Transformers
PyTorch
TensorBoard
Safetensors
swin
Generated from Trainer
Eval Results
Inference Endpoints
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  1. README.md +13 -13
  2. model.safetensors +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.7090909090909091
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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
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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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 the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6671
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- - Accuracy: 0.7091
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 1.1158 | 0.97 | 15 | 0.9997 | 0.5045 |
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- | 0.8261 | 2.0 | 31 | 0.9180 | 0.5909 |
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- | 0.7361 | 2.97 | 46 | 0.8047 | 0.65 |
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- | 0.6325 | 4.0 | 62 | 0.7320 | 0.6818 |
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- | 0.5946 | 4.97 | 77 | 0.7196 | 0.6773 |
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- | 0.5149 | 6.0 | 93 | 0.6827 | 0.7273 |
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- | 0.5083 | 6.97 | 108 | 0.6906 | 0.6955 |
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- | 0.4316 | 8.0 | 124 | 0.6681 | 0.7091 |
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- | 0.4214 | 8.97 | 139 | 0.6700 | 0.7091 |
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- | 0.4096 | 9.68 | 150 | 0.6671 | 0.7091 |
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.7713178294573644
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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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  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.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5588
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+ - Accuracy: 0.7713
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 1.047 | 0.99 | 18 | 0.8238 | 0.6667 |
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+ | 0.7685 | 1.97 | 36 | 0.7295 | 0.6705 |
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+ | 0.7036 | 2.96 | 54 | 0.6794 | 0.6977 |
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+ | 0.6215 | 4.0 | 73 | 0.6780 | 0.7093 |
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+ | 0.5409 | 4.99 | 91 | 0.5864 | 0.7519 |
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+ | 0.5165 | 5.97 | 109 | 0.5343 | 0.7713 |
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+ | 0.4803 | 6.96 | 127 | 0.6034 | 0.7326 |
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+ | 0.4328 | 8.0 | 146 | 0.6063 | 0.7326 |
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+ | 0.4125 | 8.99 | 164 | 0.5815 | 0.7558 |
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+ | 0.4237 | 9.86 | 180 | 0.5588 | 0.7713 |
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  ### Framework versions
model.safetensors CHANGED
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