Training in progress epoch 1
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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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- Train Loss: 0.
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- Train Accuracy: 0.
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- Train Top-3-accuracy: 0.
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- Validation Loss: 0.
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- Validation Accuracy: 0.
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- Validation Top-3-accuracy: 0
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- Epoch:
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## Model description
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| Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
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|:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
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| 0.4593 | 0.9478 | 0.9912 | 0.1558 | 0.9809 | 0.9995 | 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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.1008
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- Train Accuracy: 0.9876
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- Train Top-3-accuracy: 0.9997
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- Validation Loss: 0.0855
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- Validation Accuracy: 0.9856
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- Validation Top-3-accuracy: 1.0
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- Epoch: 1
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## Model description
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| Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
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|:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
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| 0.4593 | 0.9478 | 0.9912 | 0.1558 | 0.9809 | 0.9995 | 0 |
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| 0.1008 | 0.9876 | 0.9997 | 0.0855 | 0.9856 | 1.0 | 1 |
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### Framework versions
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logs/train/events.out.tfevents.1651328868.localhost.localdomain.208434.0.v2
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logs/validation/events.out.tfevents.1651334842.localhost.localdomain.208434.1.v2
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tf_model.h5
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