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Yogesh1p
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swin-tiny-patch4-window7-224-finetuned-cp3

Image Classification
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  1. README.md +12 -12
  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: 0.8392857142857143
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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: 0.7021
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- - Accuracy: 0.8393
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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 | 1.0 | 4 | 0.7631 | 0.7857 |
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- | No log | 2.0 | 8 | 0.7021 | 0.8393 |
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- | 0.7627 | 3.0 | 12 | 0.7832 | 0.6607 |
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- | 0.7627 | 4.0 | 16 | 0.7433 | 0.6964 |
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- | 0.5484 | 5.0 | 20 | 0.6839 | 0.7679 |
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- | 0.5484 | 6.0 | 24 | 0.6132 | 0.8036 |
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- | 0.5484 | 7.0 | 28 | 0.7031 | 0.7143 |
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- | 0.4853 | 8.0 | 32 | 0.8531 | 0.5714 |
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- | 0.4853 | 9.0 | 36 | 0.8332 | 0.5714 |
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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: 0.6607142857142857
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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: 0.6978
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+ - Accuracy: 0.6607
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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 | 1.0 | 4 | 0.8434 | 0.6964 |
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+ | No log | 2.0 | 8 | 0.7171 | 0.7321 |
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+ | 0.797 | 3.0 | 12 | 0.6665 | 0.7321 |
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+ | 0.797 | 4.0 | 16 | 0.6641 | 0.8036 |
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+ | 0.5977 | 5.0 | 20 | 0.6915 | 0.7679 |
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+ | 0.5977 | 6.0 | 24 | 0.6245 | 0.8036 |
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+ | 0.5977 | 7.0 | 28 | 0.6159 | 0.7679 |
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+ | 0.5246 | 8.0 | 32 | 0.6760 | 0.7321 |
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+ | 0.5246 | 9.0 | 36 | 0.6978 | 0.6607 |
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  ### Framework versions
model.safetensors CHANGED
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