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:
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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 image_folder 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:
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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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| 0.0392 | 10.98 | 508 | 0.0003 | 1.0 |
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| 0.0337 | 12.0 | 555 | 0.0007 | 1.0 |
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| 0.0279 | 12.99 | 601 | 0.0003 | 1.0 |
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| 0.0273 | 13.99 | 647 | 0.0003 | 1.0 |
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| 0.0236 | 14.92 | 690 | 0.0002 | 1.0 |
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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: 0.598512173128945
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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 image_folder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6732
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- Accuracy: 0.5985
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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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| 0.6726 | 1.0 | 329 | 0.6758 | 0.5985 |
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| 0.6773 | 2.0 | 658 | 0.6738 | 0.5985 |
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| 0.6701 | 3.0 | 987 | 0.6736 | 0.5985 |
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| 0.6734 | 4.0 | 1317 | 0.6735 | 0.5985 |
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| 0.671 | 5.0 | 1646 | 0.6738 | 0.5985 |
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| 0.6725 | 6.0 | 1975 | 0.6740 | 0.5985 |
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| 0.6702 | 7.0 | 2304 | 0.6737 | 0.5985 |
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| 0.6708 | 8.0 | 2634 | 0.6733 | 0.5983 |
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| 0.6732 | 9.0 | 2963 | 0.6735 | 0.5985 |
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| 0.671 | 9.99 | 3290 | 0.6732 | 0.5985 |
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### Framework versions
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model.safetensors
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runs/Mar14_08-26-15_2b35b180607e/events.out.tfevents.1710404776.2b35b180607e.34.0
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