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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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 0.67 | 1 | 0.
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| No log | 2.0 | 3 | 0.
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| No log | 2.67 | 4 | 0.
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| No log | 4.0 | 6 | 0.
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| No log | 4.67 | 7 | 0.
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| No log | 6.0 | 9 | 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: 0.5454545454545454
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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: 0.7230
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- Accuracy: 0.5455
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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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| No log | 0.67 | 1 | 0.6086 | 0.6364 |
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| No log | 2.0 | 3 | 0.6712 | 0.6364 |
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| No log | 2.67 | 4 | 0.7224 | 0.5455 |
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| No log | 4.0 | 6 | 0.6421 | 0.5909 |
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| No log | 4.67 | 7 | 0.6588 | 0.5455 |
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| No log | 6.0 | 9 | 0.7261 | 0.5455 |
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| 0.542 | 6.67 | 10 | 0.7230 | 0.5455 |
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### Framework versions
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model.safetensors
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runs/Jan09_17-05-46_315083aa3976/events.out.tfevents.1704819961.315083aa3976.4375.6
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