Training in progress epoch 9
Browse files- README.md +5 -4
- tf_model.h5 +1 -1
README.md
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This model is a fine-tuned version of [google/vit-base-patch16-384](https://huggingface.co/google/vit-base-patch16-384) 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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- Validation Loss: 0.
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- Train Accuracy: 0.
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- Epoch:
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## Model description
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| 0.0364 | 0.0717 | 0.9818 | 6 |
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| 0.0562 | 0.3374 | 0.8727 | 7 |
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| 0.0692 | 0.6530 | 0.7909 | 8 |
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### Framework versions
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This model is a fine-tuned version of [google/vit-base-patch16-384](https://huggingface.co/google/vit-base-patch16-384) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.0498
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- Validation Loss: 0.1617
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- Train Accuracy: 0.9636
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- Epoch: 9
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## Model description
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| 0.0364 | 0.0717 | 0.9818 | 6 |
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| 0.0562 | 0.3374 | 0.8727 | 7 |
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| 0.0692 | 0.6530 | 0.7909 | 8 |
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| 0.0498 | 0.1617 | 0.9636 | 9 |
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### Framework versions
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 344677048
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version https://git-lfs.github.com/spec/v1
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size 344677048
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