ansilmbabl
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Training in progress epoch 5
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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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| 0.3966 | 0.8815 | 0.9896 | 0.5364 | 0.8120 | 0.9777 | 2 |
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| 0.2310 | 0.9338 | 0.9964 | 0.4965 | 0.8427 | 0.9817 | 3 |
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| 0.1333 | 0.9649 | 0.9981 | 0.4799 | 0.8513 | 0.9837 | 4 |
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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: 0.0861
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- Train Accuracy: 0.9775
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- Train Top-3-accuracy: 0.9991
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- Validation Loss: 0.6749
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- Validation Accuracy: 0.8113
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- Validation Top-3-accuracy: 0.9740
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- Epoch: 5
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## Model description
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| 0.3966 | 0.8815 | 0.9896 | 0.5364 | 0.8120 | 0.9777 | 2 |
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| 0.2310 | 0.9338 | 0.9964 | 0.4965 | 0.8427 | 0.9817 | 3 |
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| 0.1333 | 0.9649 | 0.9981 | 0.4799 | 0.8513 | 0.9837 | 4 |
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| 0.0861 | 0.9775 | 0.9991 | 0.6749 | 0.8113 | 0.9740 | 5 |
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### Framework versions
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logs/train/events.out.tfevents.1717140134.e2e-60-58.11212.1.v2
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logs/validation/events.out.tfevents.1717140628.e2e-60-58.11212.2.v2
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tf_model.h5
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