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swin-tiny-patch4-window7-224-finetuned_ASL_Isolated_Swin_dataset2

Image Classification
Transformers
PyTorch
swin
Generated from Trainer
Inference Endpoints
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  1. README.md +21 -22
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
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  license: apache-2.0
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  base_model: microsoft/swin-tiny-patch4-window7-224
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  tags:
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- - image-classification
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  - generated_from_trainer
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  metrics:
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  - accuracy
@@ -16,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # swin-tiny-patch4-window7-224-finetuned_ASL_Isolated_Swin_dataset2
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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 ASL_Isolated_Swin_dataset dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0558
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- - Accuracy: 0.9846
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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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- | 1.6758 | 1.09 | 100 | 1.3206 | 0.5769 |
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- | 1.0717 | 2.17 | 200 | 0.6482 | 0.8154 |
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- | 0.627 | 3.26 | 300 | 0.4486 | 0.8654 |
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- | 0.5397 | 4.35 | 400 | 0.2978 | 0.8923 |
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- | 0.537 | 5.43 | 500 | 0.1513 | 0.9423 |
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- | 0.3766 | 6.52 | 600 | 0.4737 | 0.8846 |
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- | 0.3994 | 7.61 | 700 | 0.3060 | 0.9115 |
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- | 0.2139 | 8.7 | 800 | 0.1345 | 0.9577 |
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- | 0.2995 | 9.78 | 900 | 0.1558 | 0.95 |
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- | 0.2835 | 10.87 | 1000 | 0.0943 | 0.9731 |
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- | 0.3089 | 11.96 | 1100 | 0.0913 | 0.9577 |
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- | 0.3632 | 13.04 | 1200 | 0.0888 | 0.9692 |
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- | 0.327 | 14.13 | 1300 | 0.1038 | 0.9808 |
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- | 0.313 | 15.22 | 1400 | 0.0976 | 0.9731 |
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- | 0.1752 | 16.3 | 1500 | 0.0504 | 0.9808 |
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- | 0.2397 | 17.39 | 1600 | 0.0612 | 0.9808 |
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- | 0.1348 | 18.48 | 1700 | 0.0558 | 0.9846 |
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- | 0.2842 | 19.57 | 1800 | 0.0504 | 0.9769 |
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  ### Framework versions
 
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  license: apache-2.0
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  base_model: microsoft/swin-tiny-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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  # swin-tiny-patch4-window7-224-finetuned_ASL_Isolated_Swin_dataset2
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0909
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+ - Accuracy: 0.9769
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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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+ | 1.5439 | 1.09 | 100 | 1.4188 | 0.5538 |
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+ | 0.8646 | 2.17 | 200 | 0.4542 | 0.8885 |
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+ | 0.5485 | 3.26 | 300 | 0.4103 | 0.8538 |
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+ | 0.5082 | 4.35 | 400 | 0.2925 | 0.8962 |
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+ | 0.5302 | 5.43 | 500 | 0.2471 | 0.9269 |
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+ | 0.4072 | 6.52 | 600 | 0.2676 | 0.9231 |
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+ | 0.4424 | 7.61 | 700 | 0.4150 | 0.9038 |
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+ | 0.3409 | 8.7 | 800 | 0.1922 | 0.9538 |
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+ | 0.3046 | 9.78 | 900 | 0.1917 | 0.9462 |
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+ | 0.2911 | 10.87 | 1000 | 0.2272 | 0.9423 |
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+ | 0.269 | 11.96 | 1100 | 0.0722 | 0.9692 |
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+ | 0.3709 | 13.04 | 1200 | 0.1473 | 0.9654 |
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+ | 0.3443 | 14.13 | 1300 | 0.1545 | 0.9615 |
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+ | 0.187 | 15.22 | 1400 | 0.1060 | 0.9731 |
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+ | 0.1879 | 16.3 | 1500 | 0.1124 | 0.9692 |
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+ | 0.2183 | 17.39 | 1600 | 0.1377 | 0.9615 |
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+ | 0.1478 | 18.48 | 1700 | 0.1269 | 0.9769 |
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+ | 0.1944 | 19.57 | 1800 | 0.0909 | 0.9769 |
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  ### Framework versions
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