End of training
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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 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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- Accuracy: 1.0
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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 | 1 | 0.
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| No log | 2.0 | 2 | 0.
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| No log | 3.0 | 3 | 0.
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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 the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5967
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- Accuracy: 1.0
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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 | 1 | 0.6377 | 0.5 |
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| No log | 2.0 | 2 | 0.5943 | 1.0 |
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| No log | 3.0 | 3 | 0.5967 | 1.0 |
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### Framework versions
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model.safetensors
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runs/Apr02_08-38-50_3fde45d4181a/events.out.tfevents.1712047130.3fde45d4181a.464.2
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