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Training in progress epoch 3
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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: 0.9999
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- Validation Loss: 0.
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- Validation Accuracy: 0.
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- Validation Top-3-accuracy:
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- Epoch:
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## Model description
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| 0.4692 | 0.9471 | 0.9878 | 0.1455 | 0.9861 | 0.9998 | 0 |
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| 0.0998 | 0.9888 | 0.9996 | 0.0821 | 0.9864 | 0.9995 | 1 |
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| 0.0517 | 0.9939 | 0.9999 | 0.0617 | 0.9871 | 1.0 | 2 |
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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: 0.0309
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- Train Accuracy: 0.9971
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- Train Top-3-accuracy: 0.9999
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- Validation Loss: 0.0524
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- Validation Accuracy: 0.9878
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- Validation Top-3-accuracy: 0.9998
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- Epoch: 3
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## Model description
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| 0.4692 | 0.9471 | 0.9878 | 0.1455 | 0.9861 | 0.9998 | 0 |
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| 0.0998 | 0.9888 | 0.9996 | 0.0821 | 0.9864 | 0.9995 | 1 |
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| 0.0517 | 0.9939 | 0.9999 | 0.0617 | 0.9871 | 1.0 | 2 |
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| 0.0309 | 0.9971 | 0.9999 | 0.0524 | 0.9878 | 0.9998 | 3 |
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### Framework versions
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logs/train/events.out.tfevents.1641220257.ip-172-31-12-71.12366.0.v2
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logs/validation/events.out.tfevents.1641225930.ip-172-31-12-71.12366.1.v2
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tf_model.h5
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