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swin-tiny-patch4-window7-224-finetuned-lungs-disease

Image Classification
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  1. README.md +10 -10
  2. model.safetensors +1 -1
  3. runs/Apr16_08-26-34_1569cada5f73/events.out.tfevents.1713256120.1569cada5f73.170.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -8,7 +8,7 @@ datasets:
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  metrics:
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  - accuracy
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  model-index:
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- - name: swin-tiny-patch4-window7-224-finetuned-lungs-disease
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  results:
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  - task:
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  name: Image Classification
@@ -22,18 +22,18 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.8910891089108911
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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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  should probably proofread and complete it, then remove this comment. -->
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- ## swin-tiny-patch4-window7-224-finetuned-lungs-disease
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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: 0.2589
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- - Accuracy: 0.8911
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  ## Model description
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@@ -67,11 +67,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.7104 | 0.98 | 21 | 0.5334 | 0.7855 |
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- | 0.4067 | 2.0 | 43 | 0.4211 | 0.8350 |
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- | 0.3307 | 2.98 | 64 | 0.3033 | 0.8779 |
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- | 0.287 | 4.0 | 86 | 0.2589 | 0.8911 |
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- | 0.2694 | 4.88 | 105 | 0.2853 | 0.8845 |
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  ### Framework versions
 
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  metrics:
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  - accuracy
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  model-index:
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+ - name: swin-tiny-patch4-window7-224-finetuned-lungs-disease
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  results:
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  - task:
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  name: Image Classification
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9075907590759076
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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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  should probably proofread and complete it, then remove this comment. -->
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+ # swin-tiny-patch4-window7-224-finetuned-lungs-disease
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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: 0.2434
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+ - Accuracy: 0.9076
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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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+ | 0.814 | 0.98 | 21 | 0.5313 | 0.7492 |
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+ | 0.4444 | 2.0 | 43 | 0.3200 | 0.8911 |
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+ | 0.3322 | 2.98 | 64 | 0.3148 | 0.8911 |
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+ | 0.2975 | 4.0 | 86 | 0.2836 | 0.8977 |
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+ | 0.254 | 4.88 | 105 | 0.2434 | 0.9076 |
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  ### Framework versions
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