Model save
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README.md
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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.
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- Accuracy: 0.
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.
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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: 0.9100719424460432
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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: 0.2633
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- Accuracy: 0.9101
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 12
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.8026 | 0.96 | 19 | 0.9313 | 0.5612 |
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| 0.7571 | 1.97 | 39 | 0.8835 | 0.5755 |
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| 0.7061 | 2.99 | 59 | 0.7589 | 0.6871 |
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| 0.5911 | 4.0 | 79 | 0.6329 | 0.7482 |
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| 0.5194 | 4.96 | 98 | 0.5634 | 0.7698 |
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| 0.4471 | 5.97 | 118 | 0.4552 | 0.8165 |
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| 0.3743 | 6.99 | 138 | 0.3760 | 0.8525 |
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| 0.3686 | 8.0 | 158 | 0.3233 | 0.8705 |
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| 0.318 | 8.96 | 177 | 0.3141 | 0.8777 |
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| 0.3163 | 9.97 | 197 | 0.2772 | 0.8993 |
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| 0.2871 | 10.99 | 217 | 0.2707 | 0.9029 |
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| 0.2909 | 11.54 | 228 | 0.2633 | 0.9101 |
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### Framework versions
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