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README.md CHANGED
@@ -4,6 +4,8 @@ license: apache-2.0
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  base_model: microsoft/swin-base-patch4-window7-224
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: swin-base-patch4-window7-224_rice-leaf-disease-augmented-v2_fft
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  results: []
@@ -15,6 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # swin-base-patch4-window7-224_rice-leaf-disease-augmented-v2_fft
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  This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-patch4-window7-224) on an unknown dataset.
 
 
 
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  ## Model description
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@@ -43,6 +48,27 @@ The following hyperparameters were used during training:
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  - num_epochs: 15
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.48.3
 
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  base_model: microsoft/swin-base-patch4-window7-224
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - accuracy
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  model-index:
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  - name: swin-base-patch4-window7-224_rice-leaf-disease-augmented-v2_fft
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  results: []
 
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  # swin-base-patch4-window7-224_rice-leaf-disease-augmented-v2_fft
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  This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-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: 0.4238
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+ - Accuracy: 0.9345
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  ## Model description
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  - num_epochs: 15
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  - mixed_precision_training: Native AMP
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 1.7682 | 1.0 | 125 | 1.0104 | 0.7083 |
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+ | 0.5426 | 2.0 | 250 | 0.4423 | 0.8571 |
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+ | 0.1598 | 3.0 | 375 | 0.3282 | 0.8810 |
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+ | 0.0529 | 4.0 | 500 | 0.3018 | 0.9137 |
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+ | 0.0216 | 5.0 | 625 | 0.2928 | 0.9226 |
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+ | 0.0135 | 6.0 | 750 | 0.2874 | 0.9286 |
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+ | 0.0135 | 7.0 | 875 | 0.3382 | 0.9137 |
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+ | 0.0082 | 8.0 | 1000 | 0.3456 | 0.9226 |
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+ | 0.0039 | 9.0 | 1125 | 0.3589 | 0.9256 |
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+ | 0.0025 | 10.0 | 1250 | 0.3539 | 0.9315 |
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+ | 0.0038 | 11.0 | 1375 | 0.4166 | 0.9196 |
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+ | 0.004 | 12.0 | 1500 | 0.4284 | 0.9286 |
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+ | 0.0022 | 13.0 | 1625 | 0.4279 | 0.9345 |
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+ | 0.001 | 14.0 | 1750 | 0.4176 | 0.9345 |
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+ | 0.0014 | 15.0 | 1875 | 0.4238 | 0.9345 |
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+
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+
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  ### Framework versions
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  - Transformers 4.48.3
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