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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
Model card Files Metrics Community
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  1. README.md +17 -15
  2. pytorch_model.bin +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: 0.6666666666666666
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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: 0.8665
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- - Accuracy: 0.6667
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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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- | No log | 0.8 | 3 | 1.0688 | 0.5490 |
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- | No log | 1.87 | 7 | 0.9906 | 0.5882 |
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- | 1.0511 | 2.93 | 11 | 0.9322 | 0.6275 |
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- | 1.0511 | 4.0 | 15 | 0.8665 | 0.6667 |
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- | 1.0511 | 4.8 | 18 | 0.8342 | 0.6275 |
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- | 0.8781 | 5.87 | 22 | 0.8201 | 0.6471 |
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- | 0.8781 | 6.93 | 26 | 0.8070 | 0.6471 |
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- | 0.7623 | 8.0 | 30 | 0.8015 | 0.6275 |
 
 
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  ### Framework versions
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- - Transformers 4.33.2
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- - Pytorch 2.0.1+cu118
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- - Datasets 2.14.5
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- - Tokenizers 0.13.3
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.7121212121212122
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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: 0.6399
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+ - Accuracy: 0.7121
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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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+ | No log | 0.97 | 9 | 1.0291 | 0.4621 |
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+ | 1.0954 | 1.95 | 18 | 0.8322 | 0.6136 |
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+ | 0.8859 | 2.92 | 27 | 0.7934 | 0.6364 |
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+ | 0.7328 | 4.0 | 37 | 0.7151 | 0.6742 |
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+ | 0.6285 | 4.97 | 46 | 0.7614 | 0.6061 |
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+ | 0.5817 | 5.95 | 55 | 0.7581 | 0.6439 |
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+ | 0.5145 | 6.92 | 64 | 0.6608 | 0.7121 |
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+ | 0.4899 | 8.0 | 74 | 0.6711 | 0.6894 |
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+ | 0.4372 | 8.97 | 83 | 0.6322 | 0.7273 |
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+ | 0.4452 | 9.73 | 90 | 0.6399 | 0.7121 |
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  ### Framework versions
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+ - Transformers 4.34.1
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
pytorch_model.bin CHANGED
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