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README.md
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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 an unknown 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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| No log | 1.0 | 40 | 2.
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| No log | 2.0 | 80 | 1.
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| No log | 3.0 | 120 | 1.
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### Framework versions
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9405
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- Accuracy: 0.2938
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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 | 1.0 | 40 | 2.0322 | 0.2 |
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| No log | 2.0 | 80 | 1.9634 | 0.2562 |
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| No log | 3.0 | 120 | 1.9405 | 0.2938 |
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### Framework versions
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runs/Nov19_03-35-51_2d32a965d509/events.out.tfevents.1731987382.2d32a965d509.1732.0
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size
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version https://git-lfs.github.com/spec/v1
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size 6585
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