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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---
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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 [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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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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### Framework versions
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.7625570776255708
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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 [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5426
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- Accuracy: 0.7626
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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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| 1.2274 | 0.98 | 20 | 1.1185 | 0.4658 |
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| 0.8485 | 2.0 | 41 | 0.8690 | 0.6119 |
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| 0.6793 | 2.98 | 61 | 0.8749 | 0.6073 |
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| 0.6028 | 4.0 | 82 | 0.6864 | 0.6804 |
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| 0.5693 | 4.98 | 102 | 0.5618 | 0.7717 |
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| 0.5092 | 6.0 | 123 | 0.5958 | 0.7260 |
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| 0.3788 | 6.98 | 143 | 0.6444 | 0.7352 |
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| 0.4106 | 8.0 | 164 | 0.5277 | 0.7443 |
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| 0.3716 | 8.98 | 184 | 0.6081 | 0.7352 |
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| 0.3466 | 10.0 | 205 | 0.4976 | 0.7580 |
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| 0.3587 | 10.98 | 225 | 0.5429 | 0.7443 |
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| 0.2661 | 12.0 | 246 | 0.4933 | 0.7763 |
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| 0.2628 | 12.98 | 266 | 0.5078 | 0.7671 |
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| 0.2473 | 14.0 | 287 | 0.5264 | 0.7945 |
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| 0.2633 | 14.98 | 307 | 0.5262 | 0.7671 |
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| 0.2017 | 16.0 | 328 | 0.5509 | 0.7763 |
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| 0.1861 | 16.98 | 348 | 0.5513 | 0.7443 |
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| 0.2031 | 18.0 | 369 | 0.5516 | 0.7580 |
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| 0.1604 | 18.98 | 389 | 0.5430 | 0.7671 |
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| 0.2346 | 19.51 | 400 | 0.5426 | 0.7626 |
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### Framework versions
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runs/Nov02_22-40-00_a4709a859fdb/events.out.tfevents.1698964812.a4709a859fdb.1287.11
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