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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- 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
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| No log | 0.8889
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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: 0.8297872340425532
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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: 0.4504
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- Accuracy: 0.8298
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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: 20
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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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| No log | 0.8889 | 6 | 0.6159 | 0.6596 |
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| 0.5542 | 1.9259 | 13 | 0.5690 | 0.7128 |
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| 0.5334 | 2.9630 | 20 | 0.5524 | 0.7128 |
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| 0.5334 | 4.0 | 27 | 0.5923 | 0.7021 |
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| 0.4658 | 4.8889 | 33 | 0.4979 | 0.7660 |
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| 0.469 | 5.9259 | 40 | 0.4834 | 0.7766 |
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| 0.469 | 6.9630 | 47 | 0.5267 | 0.7447 |
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| 0.4469 | 8.0 | 54 | 0.5309 | 0.7234 |
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| 0.436 | 8.8889 | 60 | 0.4592 | 0.7872 |
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| 0.436 | 9.9259 | 67 | 0.4602 | 0.8191 |
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| 0.3978 | 10.9630 | 74 | 0.4800 | 0.8085 |
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| 0.3916 | 12.0 | 81 | 0.4538 | 0.8404 |
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| 0.3916 | 12.8889 | 87 | 0.4807 | 0.7872 |
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| 0.3932 | 13.9259 | 94 | 0.4473 | 0.8298 |
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| 0.3362 | 14.9630 | 101 | 0.4526 | 0.8085 |
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| 0.3362 | 16.0 | 108 | 0.4435 | 0.8191 |
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| 0.3631 | 16.8889 | 114 | 0.4466 | 0.8298 |
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| 0.3441 | 17.7778 | 120 | 0.4504 | 0.8298 |
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### Framework versions
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model.safetensors
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