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_fft_012825
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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: 0.0396
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- eval_runtime: 85.4567
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- eval_samples_per_second: 23.404
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- eval_steps_per_second: 0.374
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- step: 1250
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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_fft_012825
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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: 0.0274
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- Accuracy: 0.994
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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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| 1.541 | 1.0 | 250 | 0.8105 | 0.5771 |
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| 0.3645 | 2.0 | 500 | 0.9315 | 0.1973 |
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| 0.1129 | 3.0 | 750 | 0.9805 | 0.0676 |
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| 0.0362 | 4.0 | 1000 | 0.9775 | 0.0760 |
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| 0.0182 | 5.0 | 1250 | 0.989 | 0.0396 |
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| 0.0097 | 6.0 | 1500 | 0.0349 | 0.992 |
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| 0.006 | 7.0 | 1750 | 0.0423 | 0.99 |
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| 0.0057 | 8.0 | 2000 | 0.0488 | 0.9875 |
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| 0.0038 | 9.0 | 2250 | 0.0333 | 0.991 |
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| 0.0048 | 10.0 | 2500 | 0.0316 | 0.991 |
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| 0.0033 | 11.0 | 2750 | 0.0300 | 0.993 |
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| 0.0034 | 12.0 | 3000 | 0.0375 | 0.991 |
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| 0.0022 | 13.0 | 3250 | 0.0304 | 0.9935 |
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| 0.0018 | 14.0 | 3500 | 0.0282 | 0.994 |
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| 0.0029 | 15.0 | 3750 | 0.0274 | 0.994 |
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### Framework versions
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- Transformers 4.47.1
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logs/events.out.tfevents.1738203655.d8b748aca794.2514.0
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