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:
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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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| 1.5487 | 0.8270 | 0.9344 | 1.4502 | 0.8624 | 0.9519 | 1 |
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| 1.1223 | 0.8829 | 0.9609 | 1.1583 | 0.8982 | 0.9674 | 2 |
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| 0.9127 | 0.9094 | 0.9718 | 1.0461 | 0.9181 | 0.9753 | 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: 0.8190
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- Train Accuracy: 0.9248
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- Train Top-3-accuracy: 0.9777
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- Validation Loss: 0.9820
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- Validation Accuracy: 0.9308
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- Validation Top-3-accuracy: 0.9799
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- Epoch: 4
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## Model description
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| 1.5487 | 0.8270 | 0.9344 | 1.4502 | 0.8624 | 0.9519 | 1 |
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| 1.1223 | 0.8829 | 0.9609 | 1.1583 | 0.8982 | 0.9674 | 2 |
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| 0.9127 | 0.9094 | 0.9718 | 1.0461 | 0.9181 | 0.9753 | 3 |
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| 0.8190 | 0.9248 | 0.9777 | 0.9820 | 0.9308 | 0.9799 | 4 |
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### Framework versions
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logs/train/events.out.tfevents.1711357417.9cc558c0e04a.2767.0.v2
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logs/validation/events.out.tfevents.1711362832.9cc558c0e04a.2767.1.v2
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tf_model.h5
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