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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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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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: 0.7674418604651163
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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: 0.6503
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- Accuracy: 0.7674
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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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| 1.0764 | 0.99 | 18 | 0.8915 | 0.6318 |
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| 0.7888 | 1.97 | 36 | 0.7533 | 0.6860 |
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| 0.707 | 2.96 | 54 | 0.7525 | 0.6977 |
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| 0.6115 | 4.0 | 73 | 0.6723 | 0.7403 |
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| 0.5552 | 4.99 | 91 | 0.7092 | 0.7093 |
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| 0.5057 | 5.97 | 109 | 0.6733 | 0.7326 |
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| 0.4761 | 6.96 | 127 | 0.6893 | 0.7326 |
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| 0.4393 | 8.0 | 146 | 0.6933 | 0.7287 |
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| 0.4284 | 8.99 | 164 | 0.6348 | 0.7519 |
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| 0.4084 | 9.86 | 180 | 0.6503 | 0.7674 |
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### Framework versions
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