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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 [100rab25/swin-tiny-patch4-window7-224-spa_saloon_classification](https://huggingface.co/100rab25/swin-tiny-patch4-window7-224-spa_saloon_classification) 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: 0.9895470383275261
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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 [100rab25/swin-tiny-patch4-window7-224-spa_saloon_classification](https://huggingface.co/100rab25/swin-tiny-patch4-window7-224-spa_saloon_classification) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0393
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- Accuracy: 0.9895
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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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| 0.2637 | 0.99 | 20 | 0.1274 | 0.9443 |
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| 0.2582 | 1.98 | 40 | 0.0937 | 0.9756 |
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| 0.161 | 2.96 | 60 | 0.0924 | 0.9582 |
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| 0.1535 | 4.0 | 81 | 0.0612 | 0.9861 |
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| 0.1347 | 4.99 | 101 | 0.0536 | 0.9791 |
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| 0.1155 | 5.98 | 121 | 0.0408 | 0.9930 |
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| 0.1306 | 6.96 | 141 | 0.0417 | 0.9930 |
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| 0.1017 | 8.0 | 162 | 0.0380 | 0.9895 |
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| 0.0859 | 8.99 | 182 | 0.0417 | 0.9895 |
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| 0.0897 | 9.88 | 200 | 0.0393 | 0.9895 |
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### Framework versions
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model.safetensors
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