Model save
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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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- Loss: 0.
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- Accuracy: 0.
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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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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- Loss: 0.1943
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- Accuracy: 0.9527
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 16
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 5.2759 | 0.99 | 68 | 3.4103 | 0.86 |
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| 1.7015 | 1.99 | 137 | 0.7510 | 0.8945 |
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| 0.566 | 3.0 | 206 | 0.5793 | 0.8664 |
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| 0.4301 | 4.0 | 275 | 0.4694 | 0.8909 |
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| 0.3603 | 4.99 | 343 | 0.3995 | 0.9036 |
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| 0.3032 | 5.99 | 412 | 0.3757 | 0.9036 |
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| 0.2632 | 7.0 | 481 | 0.3843 | 0.9059 |
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| 0.2211 | 8.0 | 550 | 0.3490 | 0.9123 |
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| 0.1929 | 8.99 | 618 | 0.3618 | 0.9045 |
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| 0.1645 | 9.99 | 687 | 0.2970 | 0.9241 |
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| 0.1621 | 11.0 | 756 | 0.2874 | 0.93 |
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| 0.1337 | 12.0 | 825 | 0.2705 | 0.9391 |
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| 0.1238 | 12.99 | 893 | 0.2231 | 0.9436 |
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| 0.1096 | 13.99 | 962 | 0.2440 | 0.9441 |
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| 0.0979 | 15.0 | 1031 | 0.2371 | 0.9423 |
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| 0.0808 | 15.83 | 1088 | 0.1943 | 0.9527 |
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### Framework versions
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runs/Mar17_11-51-17_1a8f1340d043/events.out.tfevents.1710676278.1a8f1340d043.34.5
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