End of training
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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-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: 1.
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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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### Framework versions
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.60625
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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: 1.2755
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- Accuracy: 0.6062
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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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| 0.8344 | 1.0 | 5 | 1.1193 | 0.5813 |
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| 0.7539 | 2.0 | 10 | 1.2210 | 0.5563 |
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| 0.6334 | 3.0 | 15 | 1.2974 | 0.5188 |
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| 0.6163 | 4.0 | 20 | 1.1309 | 0.6 |
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| 0.4633 | 5.0 | 25 | 1.2804 | 0.5312 |
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| 0.4066 | 6.0 | 30 | 1.1664 | 0.6 |
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| 0.335 | 7.0 | 35 | 1.1741 | 0.6062 |
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| 0.3484 | 8.0 | 40 | 1.1644 | 0.6125 |
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| 0.3134 | 9.0 | 45 | 1.2799 | 0.55 |
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| 0.2689 | 10.0 | 50 | 1.2276 | 0.6 |
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### Framework versions
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pytorch_model.bin
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