End of training
Browse files
README.md
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss:
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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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| Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
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|:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
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| 1.0840 | 0.6156 | 0.8813 | 0.6843 | 0.75 | 0.9700 | 0 |
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### Framework versions
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.0378
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- Train Accuracy: 0.9953
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- Train Top-3-accuracy: 1.0
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- Validation Loss: 0.4967
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- Validation Accuracy: 0.8433
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- Validation Top-3-accuracy: 0.9800
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- Epoch: 6
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## Model description
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| Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
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|:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
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| 1.0840 | 0.6156 | 0.8813 | 0.6843 | 0.75 | 0.9700 | 0 |
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| 0.4686 | 0.8406 | 0.9875 | 0.5345 | 0.8100 | 0.9867 | 1 |
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| 0.2600 | 0.9312 | 0.9953 | 0.4805 | 0.8333 | 0.9800 | 2 |
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| 0.1515 | 0.9609 | 0.9969 | 0.5071 | 0.8267 | 0.9733 | 3 |
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| 0.0746 | 0.9875 | 1.0 | 0.4853 | 0.8500 | 0.9833 | 4 |
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| 0.0468 | 0.9953 | 1.0 | 0.5006 | 0.8433 | 0.9733 | 5 |
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| 0.0378 | 0.9953 | 1.0 | 0.4967 | 0.8433 | 0.9800 | 6 |
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### Framework versions
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logs/train/events.out.tfevents.1651984534.f9f01bc72d55.72.0.v2
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logs/validation/events.out.tfevents.1651984748.f9f01bc72d55.72.1.v2
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