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rukundob451
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swin-tiny-patch4-window7-224-finetuned-papsmear

Image Classification
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swin
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  1. README.md +20 -20
  2. model.safetensors +1 -1
README.md CHANGED
@@ -23,7 +23,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9044117647058824
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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
@@ -33,8 +33,8 @@ 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: 0.2027
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- - Accuracy: 0.9044
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  ## Model description
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@@ -68,26 +68,26 @@ 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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- | 1.4844 | 0.9935 | 38 | 1.4298 | 0.4118 |
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- | 0.8905 | 1.9869 | 76 | 0.8110 | 0.6544 |
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- | 0.9097 | 2.9804 | 114 | 0.7109 | 0.7132 |
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- | 0.6238 | 4.0 | 153 | 0.9197 | 0.6544 |
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- | 0.4456 | 4.9935 | 191 | 0.4652 | 0.8015 |
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- | 0.4394 | 5.9869 | 229 | 0.5188 | 0.8015 |
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- | 0.3156 | 6.9804 | 267 | 0.3447 | 0.8529 |
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- | 0.2212 | 8.0 | 306 | 0.3509 | 0.8382 |
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- | 0.2402 | 8.9935 | 344 | 0.3939 | 0.8235 |
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- | 0.1733 | 9.9869 | 382 | 0.2444 | 0.8897 |
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- | 0.1953 | 10.9804 | 420 | 0.2639 | 0.8676 |
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- | 0.1363 | 12.0 | 459 | 0.2645 | 0.8824 |
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- | 0.1234 | 12.9935 | 497 | 0.2027 | 0.9044 |
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- | 0.1282 | 13.9869 | 535 | 0.2027 | 0.9044 |
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- | 0.1036 | 14.9020 | 570 | 0.2026 | 0.8897 |
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  ### Framework versions
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  - Transformers 4.44.2
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- - Pytorch 2.4.0+cu121
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- - Datasets 3.0.0
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  - Tokenizers 0.19.1
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.8823529411764706
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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: 0.3140
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+ - Accuracy: 0.8824
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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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+ | 1.4898 | 0.9935 | 38 | 1.3709 | 0.4632 |
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+ | 0.8902 | 1.9869 | 76 | 0.9261 | 0.6324 |
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+ | 0.9107 | 2.9804 | 114 | 0.8400 | 0.6397 |
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+ | 0.564 | 4.0 | 153 | 0.6937 | 0.7279 |
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+ | 0.5563 | 4.9935 | 191 | 0.5622 | 0.7647 |
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+ | 0.3851 | 5.9869 | 229 | 0.5238 | 0.8015 |
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+ | 0.3327 | 6.9804 | 267 | 0.6382 | 0.7941 |
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+ | 0.2469 | 8.0 | 306 | 0.4330 | 0.8456 |
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+ | 0.2903 | 8.9935 | 344 | 0.4212 | 0.8309 |
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+ | 0.1861 | 9.9869 | 382 | 0.4140 | 0.8529 |
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+ | 0.1533 | 10.9804 | 420 | 0.3810 | 0.8603 |
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+ | 0.1017 | 12.0 | 459 | 0.3565 | 0.8603 |
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+ | 0.1285 | 12.9935 | 497 | 0.3057 | 0.8971 |
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+ | 0.1377 | 13.9869 | 535 | 0.3058 | 0.8824 |
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+ | 0.1033 | 14.9020 | 570 | 0.3140 | 0.8824 |
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  ### Framework versions
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  - Transformers 4.44.2
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.0.1
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  - Tokenizers 0.19.1
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