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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 [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log |
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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: 0.7166666666666667
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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 [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8134
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- Accuracy: 0.7167
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 0.92 | 9 | 1.2939 | 0.4667 |
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| 1.3501 | 1.95 | 19 | 1.1706 | 0.5833 |
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| 1.2272 | 2.97 | 29 | 1.0594 | 0.6333 |
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| 1.0941 | 4.0 | 39 | 0.9773 | 0.6 |
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| 0.979 | 4.92 | 48 | 0.9142 | 0.6833 |
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| 0.8694 | 5.95 | 58 | 0.8569 | 0.7 |
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| 0.7662 | 6.97 | 68 | 0.8364 | 0.6833 |
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| 0.7002 | 8.0 | 78 | 0.8071 | 0.7 |
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| 0.6443 | 8.92 | 87 | 0.8095 | 0.7333 |
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| 0.629 | 9.23 | 90 | 0.8134 | 0.7167 |
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### Framework versions
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runs/May24_07-57-29_DESKTOP-SKBE9FB/events.out.tfevents.1716559050.DESKTOP-SKBE9FB.10960.0
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size
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version https://git-lfs.github.com/spec/v1
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size 9393
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