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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: 0.7289719626168224
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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: 0.6419
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- - Accuracy: 0.7290
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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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- | 1.0627 | 1.0 | 15 | 0.9620 | 0.5467 |
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- | 0.8137 | 2.0 | 30 | 0.7780 | 0.6589 |
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- | 0.7516 | 3.0 | 45 | 0.7737 | 0.6822 |
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- | 0.6395 | 4.0 | 60 | 0.7195 | 0.6869 |
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- | 0.579 | 5.0 | 75 | 0.6742 | 0.7150 |
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- | 0.5505 | 6.0 | 90 | 0.6526 | 0.7243 |
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- | 0.5312 | 7.0 | 105 | 0.6616 | 0.7290 |
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- | 0.4793 | 8.0 | 120 | 0.6470 | 0.7430 |
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- | 0.4443 | 9.0 | 135 | 0.6375 | 0.7383 |
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- | 0.4685 | 10.0 | 150 | 0.6419 | 0.7290 |
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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: 0.7090909090909091
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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
 
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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
model.safetensors CHANGED
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