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: 0.8978102189781022
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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: 0.2350
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- Accuracy: 0.8978
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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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| 0.4375 | 0.9836 | 30 | 0.4385 | 0.8564 |
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| 0.3408 | 2.0 | 61 | 0.2872 | 0.8978 |
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| 0.3106 | 2.9836 | 91 | 0.2598 | 0.9100 |
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| 0.3167 | 4.0 | 122 | 0.2609 | 0.9124 |
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| 0.2533 | 4.9836 | 152 | 0.2426 | 0.9075 |
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| 0.256 | 6.0 | 183 | 0.2372 | 0.9075 |
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| 0.2492 | 6.9836 | 213 | 0.2418 | 0.9148 |
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| 0.2364 | 8.0 | 244 | 0.2352 | 0.9051 |
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| 0.2301 | 8.9836 | 274 | 0.2348 | 0.9075 |
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| 0.2255 | 9.8361 | 300 | 0.2350 | 0.8978 |
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### Framework versions
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pytorch_model.bin
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