Model save
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README.md
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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 an unknown 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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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### Framework versions
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5231
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- Accuracy: 0.8377
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 12
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.8248 | 0.99 | 78 | 0.7299 | 0.7667 |
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| 0.806 | 1.99 | 157 | 0.6541 | 0.7944 |
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| 0.8544 | 3.0 | 236 | 0.6443 | 0.7996 |
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| 0.8503 | 4.0 | 315 | 0.5965 | 0.8179 |
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| 0.7538 | 4.99 | 393 | 0.5674 | 0.8282 |
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| 0.6921 | 5.99 | 472 | 0.5941 | 0.8175 |
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| 0.7214 | 7.0 | 551 | 0.5721 | 0.8246 |
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| 0.6402 | 8.0 | 630 | 0.5433 | 0.8361 |
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| 0.5899 | 8.99 | 708 | 0.5323 | 0.8425 |
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| 0.6688 | 9.99 | 787 | 0.5213 | 0.8409 |
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| 0.5948 | 11.0 | 866 | 0.5244 | 0.8385 |
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| 0.5818 | 11.89 | 936 | 0.5231 | 0.8377 |
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### Framework versions
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model.safetensors
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size 110382828
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