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Model save
Browse files
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 | 1.0 | 1 | 0.
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| No log | 2.0 | 3 | 0.
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| No log | 3.0 | 5 | 0.
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| No log | 4.0 | 6 | 0.
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| No log | 5.0 | 7 | 0.
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| No log | 6.0 | 9 | 0.
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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: 1.0
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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: 0.3939
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- Accuracy: 1.0
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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 | 1.0 | 1 | 0.7001 | 0.4545 |
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| No log | 2.0 | 3 | 0.6141 | 0.7273 |
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| No log | 3.0 | 5 | 0.5465 | 0.7273 |
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| No log | 4.0 | 6 | 0.4669 | 0.9091 |
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| No log | 5.0 | 7 | 0.4453 | 0.7273 |
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| No log | 6.0 | 9 | 0.4054 | 0.9091 |
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| 0.2807 | 7.0 | 11 | 0.3967 | 1.0 |
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| 0.2807 | 8.0 | 12 | 0.3939 | 1.0 |
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### Framework versions
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runs/Apr05_03-11-59_0478064d598f/events.out.tfevents.1712287006.0478064d598f.410.0
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size
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version https://git-lfs.github.com/spec/v1
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size 8179
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