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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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| 1.
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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: 0.3157
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- Accuracy: 0.9529
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- Precision: 0.9560
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- Recall: 0.9529
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- F1: 0.9538
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| 1.2056 | 1.0 | 48 | 0.9746 | 0.8560 | 0.8761 | 0.8560 | 0.8530 |
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| 0.5285 | 2.0 | 96 | 0.5351 | 0.9188 | 0.9236 | 0.9188 | 0.9196 |
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| 0.3189 | 3.0 | 144 | 0.3756 | 0.9372 | 0.9386 | 0.9372 | 0.9370 |
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| 0.221 | 4.0 | 192 | 0.3157 | 0.9529 | 0.9560 | 0.9529 | 0.9538 |
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### Framework versions
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model.safetensors
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runs/Dec12_05-53-43_6ab6b0eb967c/events.out.tfevents.1733982851.6ab6b0eb967c.23.0
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training_args.bin
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