update model card README.md
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README.md
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metrics:
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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 [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) 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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- Recall: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Recall |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| No log | 1.0 |
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| No log | 2.0 |
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| No log | 3.0 |
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| No log | 4.0 |
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| No log | 5.0 |
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| No log | 6.0 |
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### Framework versions
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metrics:
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- name: Recall
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type: recall
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value: 0.7866666666666666
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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-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2021
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- Recall: 0.7867
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Recall |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| No log | 1.0 | 9 | 0.4676 | 0.0 |
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| No log | 2.0 | 18 | 0.2918 | 0.0 |
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| No log | 3.0 | 27 | 0.2191 | 0.0 |
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| No log | 4.0 | 36 | 0.1971 | 0.1733 |
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| No log | 5.0 | 45 | 0.1695 | 0.4133 |
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| No log | 6.0 | 54 | 0.1693 | 0.52 |
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| No log | 7.0 | 63 | 0.1597 | 0.5867 |
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| No log | 8.0 | 72 | 0.1863 | 0.7733 |
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| No log | 9.0 | 81 | 0.1591 | 0.72 |
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| No log | 10.0 | 90 | 0.1543 | 0.72 |
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| No log | 11.0 | 99 | 0.1559 | 0.6933 |
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| No log | 12.0 | 108 | 0.1658 | 0.7333 |
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| No log | 13.0 | 117 | 0.1691 | 0.6533 |
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| No log | 14.0 | 126 | 0.1779 | 0.68 |
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| No log | 15.0 | 135 | 0.1635 | 0.8133 |
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| No log | 16.0 | 144 | 0.1765 | 0.6933 |
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| No log | 17.0 | 153 | 0.1679 | 0.7333 |
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| No log | 18.0 | 162 | 0.1694 | 0.7467 |
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| No log | 19.0 | 171 | 0.1770 | 0.8133 |
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| No log | 20.0 | 180 | 0.1692 | 0.7867 |
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| No log | 21.0 | 189 | 0.2021 | 0.7867 |
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### Framework versions
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