Model save
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README.md
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base_model: microsoft/beit-base-patch16-224
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tags:
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- generated_from_trainer
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model-index:
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- name: beit-base-patch16-224_rice-leaf-disease-augmented_tl_020125
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results: []
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This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.4398
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- eval_runtime: 87.1496
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- eval_samples_per_second: 22.949
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- eval_steps_per_second: 0.367
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- step: 3250
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## Model description
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 15
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### Framework versions
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- Transformers 4.47.1
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base_model: microsoft/beit-base-patch16-224
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: beit-base-patch16-224_rice-leaf-disease-augmented_tl_020125
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results: []
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This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4361
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- Accuracy: 0.8575
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## Model description
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 15
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### Training results
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| Training Loss | Epoch | Step | Accuracy | Validation Loss |
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|:-------------:|:-----:|:----:|:--------:|:---------------:|
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| 1.9619 | 1.0 | 250 | 0.496 | 1.4686 |
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| 1.1487 | 2.0 | 500 | 0.716 | 0.8858 |
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| 0.8166 | 3.0 | 750 | 0.7685 | 0.7041 |
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| 0.691 | 4.0 | 1000 | 0.797 | 0.6216 |
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| 0.6259 | 5.0 | 1250 | 0.824 | 0.5643 |
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| 0.582 | 6.0 | 1500 | 0.8305 | 0.5286 |
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| 0.547 | 7.0 | 1750 | 0.836 | 0.5041 |
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| 0.5244 | 8.0 | 2000 | 0.844 | 0.4842 |
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| 0.5081 | 9.0 | 2250 | 0.843 | 0.4707 |
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| 0.493 | 10.0 | 2500 | 0.8475 | 0.4589 |
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| 0.4824 | 11.0 | 2750 | 0.85 | 0.4509 |
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| 0.4759 | 12.0 | 3000 | 0.853 | 0.4437 |
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| 0.4677 | 13.0 | 3250 | 0.855 | 0.4398 |
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| 0.4651 | 14.0 | 3500 | 0.4373 | 0.856 |
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| 0.4625 | 15.0 | 3750 | 0.4361 | 0.8575 |
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### Framework versions
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- Transformers 4.47.1
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logs/events.out.tfevents.1738411542.6d188e23525e.4440.2
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