Model save
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- pytorch_model.bin +1 -1
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 [mansee/swin-tiny-patch4-window7-224](https://huggingface.co/mansee/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 | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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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: 0.9657087324725808
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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 [mansee/swin-tiny-patch4-window7-224](https://huggingface.co/mansee/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: 0.1086
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- Accuracy: 0.9657
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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: 10
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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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| 0.5043 | 1.0 | 506 | 0.3764 | 0.8426 |
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| 0.3557 | 2.0 | 1013 | 0.2068 | 0.9245 |
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| 0.315 | 3.0 | 1519 | 0.1581 | 0.9442 |
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| 0.2674 | 4.0 | 2026 | 0.1468 | 0.9490 |
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| 0.2615 | 5.0 | 2532 | 0.1245 | 0.9561 |
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| 0.2115 | 6.0 | 3039 | 0.1236 | 0.9560 |
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| 0.2121 | 7.0 | 3545 | 0.1144 | 0.9624 |
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| 0.2053 | 8.0 | 4052 | 0.1143 | 0.9614 |
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| 0.1576 | 9.0 | 4558 | 0.1087 | 0.9661 |
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| 0.2054 | 9.99 | 5060 | 0.1086 | 0.9657 |
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### Framework versions
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pytorch_model.bin
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