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-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-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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| 0.2226 | 11.0 | 209 | 0.3209 | 0.8732 |
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| 0.2067 | 12.0 | 228 | 0.3289 | 0.8771 |
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| 0.2019 | 13.0 | 247 | 0.3316 | 0.8745 |
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| 0.195 | 14.0 | 266 | 0.3398 | 0.8732 |
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| 0.1862 | 15.0 | 285 | 0.3364 | 0.8681 |
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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: 0.8758002560819462
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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-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-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: 0.2978
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- Accuracy: 0.8758
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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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| 0.887 | 1.0 | 19 | 0.4012 | 0.8566 |
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| 0.4302 | 2.0 | 38 | 0.3361 | 0.8656 |
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| 0.3477 | 3.0 | 57 | 0.3272 | 0.8656 |
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| 0.3281 | 4.0 | 76 | 0.3129 | 0.8694 |
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| 0.308 | 5.0 | 95 | 0.2984 | 0.8732 |
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| 0.2821 | 6.0 | 114 | 0.3010 | 0.8694 |
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| 0.2763 | 7.0 | 133 | 0.2998 | 0.8771 |
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| 0.2607 | 8.0 | 152 | 0.2938 | 0.8720 |
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| 0.2502 | 9.0 | 171 | 0.2990 | 0.8732 |
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| 0.2337 | 10.0 | 190 | 0.2978 | 0.8758 |
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### Framework versions
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model.safetensors
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runs/Jul29_05-32-15_57c74b225367/events.out.tfevents.1722231150.57c74b225367
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