Training in progress epoch 4
Browse files
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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| 0.0997 | 0.9615 | 0.9929 | 0.0886 | 0.9689 | 0.9948 | 1 |
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| 0.0519 | 0.9735 | 0.9958 | 0.0642 | 0.9771 | 0.9966 | 2 |
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| 0.0308 | 0.9797 | 0.9971 | 0.0549 | 0.9818 | 0.9974 | 3 |
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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: 0.0217
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- Train Accuracy: 0.9835
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- Train Top-3-accuracy: 0.9977
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- Validation Loss: 0.0529
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- Validation Accuracy: 0.9850
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- Validation Top-3-accuracy: 0.9979
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- Epoch: 4
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## Model description
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| 0.0997 | 0.9615 | 0.9929 | 0.0886 | 0.9689 | 0.9948 | 1 |
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| 0.0519 | 0.9735 | 0.9958 | 0.0642 | 0.9771 | 0.9966 | 2 |
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| 0.0308 | 0.9797 | 0.9971 | 0.0549 | 0.9818 | 0.9974 | 3 |
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| 0.0217 | 0.9835 | 0.9977 | 0.0529 | 0.9850 | 0.9979 | 4 |
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### Framework versions
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logs/train/events.out.tfevents.1717162567.faafeb234226.12364.0.v2
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logs/validation/events.out.tfevents.1717163545.faafeb234226.12364.1.v2
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tf_model.h5
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