andrecastro
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Model save
Browse files- README.md +10 -10
- model.safetensors +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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- name: Precision
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type: precision
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value: 0.
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- name: Recall
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type: recall
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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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- Precision: 0.9850
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- Recall: 0.
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- Confusion Matrix: [[
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | Confusion Matrix |
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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: 0.9846256684491979
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- name: Precision
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type: precision
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value: 0.9850123826857227
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- name: Recall
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type: recall
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value: 0.9846256684491979
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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: 0.0532
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- Accuracy: 0.9846
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- Precision: 0.9850
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- Recall: 0.9846
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- Confusion Matrix: [[1468, 44], [2, 1478]]
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | Confusion Matrix |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------------------------:|
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| 0.0527 | 1.0 | 374 | 0.0383 | 0.9880 | 0.9880 | 0.9880 | [[1487, 25], [11, 1469]] |
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| 0.0514 | 2.0 | 748 | 0.0357 | 0.9866 | 0.9869 | 0.9866 | [[1474, 38], [2, 1478]] |
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| 0.0678 | 3.0 | 1122 | 0.0532 | 0.9846 | 0.9850 | 0.9846 | [[1468, 44], [2, 1478]] |
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### Framework versions
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model.safetensors
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