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update model card README.md
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README.md
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---
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license: apache-2.0
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tags:
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- image-classification
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- generated_from_trainer
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metrics:
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- accuracy
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# vit-base-clothing-leafs-example
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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
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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 results
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| Training Loss | Epoch | Step
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### Framework versions
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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# vit-base-clothing-leafs-example
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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 None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.1420
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- Accuracy: 0.0448
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## Model description
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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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| 8.6059 | 0.14 | 1000 | 8.5844 | 0.0002 |
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| 8.5506 | 0.28 | 2000 | 8.5189 | 0.0010 |
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| 8.4931 | 0.41 | 3000 | 8.4641 | 0.0012 |
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| 8.4223 | 0.55 | 4000 | 8.3495 | 0.0016 |
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| 8.3144 | 0.69 | 5000 | 8.2552 | 0.0021 |
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| 8.1936 | 0.83 | 6000 | 8.1385 | 0.0024 |
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| 8.0638 | 0.97 | 7000 | 7.9924 | 0.0028 |
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| 7.8485 | 1.11 | 8000 | 7.8366 | 0.0036 |
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| 7.6933 | 1.24 | 9000 | 7.6595 | 0.0045 |
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| 7.5808 | 1.38 | 10000 | 7.5232 | 0.0062 |
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| 7.4352 | 1.52 | 11000 | 7.3816 | 0.0070 |
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| 7.3279 | 1.66 | 12000 | 7.2853 | 0.0084 |
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| 7.2141 | 1.8 | 13000 | 7.1553 | 0.0105 |
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| 7.151 | 1.94 | 14000 | 7.0853 | 0.0119 |
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| 6.9695 | 2.07 | 15000 | 7.0088 | 0.0134 |
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| 6.8563 | 2.21 | 16000 | 6.9409 | 0.0139 |
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| 6.8019 | 2.35 | 17000 | 6.8634 | 0.0158 |
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| 6.7372 | 2.49 | 18000 | 6.8001 | 0.0175 |
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| 6.6903 | 2.63 | 19000 | 6.7323 | 0.0191 |
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| 6.6482 | 2.77 | 20000 | 6.6638 | 0.0207 |
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| 6.5669 | 2.9 | 21000 | 6.6090 | 0.0239 |
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| 6.4484 | 3.04 | 22000 | 6.5441 | 0.0240 |
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| 6.2568 | 3.18 | 23000 | 6.5015 | 0.0273 |
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| 6.2452 | 3.32 | 24000 | 6.4589 | 0.0304 |
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| 6.2002 | 3.46 | 25000 | 6.4312 | 0.0310 |
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| 6.1699 | 3.6 | 26000 | 6.3723 | 0.0319 |
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| 6.1284 | 3.73 | 27000 | 6.3324 | 0.0343 |
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| 6.1186 | 3.87 | 28000 | 6.3029 | 0.0350 |
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| 6.0611 | 4.01 | 29000 | 6.2723 | 0.0381 |
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| 5.7883 | 4.15 | 30000 | 6.2527 | 0.0383 |
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| 5.7684 | 4.29 | 31000 | 6.2186 | 0.0392 |
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| 5.7701 | 4.43 | 32000 | 6.2031 | 0.0403 |
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| 5.7473 | 4.56 | 33000 | 6.1777 | 0.0430 |
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| 5.735 | 4.7 | 34000 | 6.1634 | 0.0442 |
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| 5.7324 | 4.84 | 35000 | 6.1494 | 0.0443 |
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| 5.6949 | 4.98 | 36000 | 6.1420 | 0.0448 |
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### Framework versions
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