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Training in progress epoch 10
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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| 0.2346 | 0.9905 | 0.9992 | 0.3804 | 0.9287 | 0.9914 | 7 |
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| 0.1976 | 0.9935 | 0.9989 | 0.3250 | 0.9546 | 0.9914 | 8 |
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| 0.1686 | 0.9939 | 0.9992 | 0.4980 | 0.8920 | 0.9762 | 9 |
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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: 0.1423
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- Train Accuracy: 0.9969
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- Train Top-3-accuracy: 0.9996
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- Validation Loss: 0.2129
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- Validation Accuracy: 0.9654
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- Validation Top-3-accuracy: 0.9957
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- Epoch: 10
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## Model description
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| 0.2346 | 0.9905 | 0.9992 | 0.3804 | 0.9287 | 0.9914 | 7 |
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| 0.1976 | 0.9935 | 0.9989 | 0.3250 | 0.9546 | 0.9914 | 8 |
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| 0.1686 | 0.9939 | 0.9992 | 0.4980 | 0.8920 | 0.9762 | 9 |
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| 0.1423 | 0.9969 | 0.9996 | 0.2129 | 0.9654 | 0.9957 | 10 |
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### Framework versions
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logs/train/events.out.tfevents.1699744453.48cd21698220.35352.2.v2
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logs/validation/events.out.tfevents.1699744990.48cd21698220.35352.3.v2
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