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README.md CHANGED
@@ -4,6 +4,8 @@ license: apache-2.0
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  base_model: facebook/deit-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: deit-base-patch16-224_rice-leaf-disease-augmented-v2_fft
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  results: []
@@ -16,13 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/deit-base-patch16-224](https://huggingface.co/facebook/deit-base-patch16-224) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - epoch: 6.0
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- - eval_accuracy: 0.8839
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- - eval_loss: 0.3433
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- - eval_runtime: 10.8405
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- - eval_samples_per_second: 30.995
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- - eval_steps_per_second: 0.553
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- - step: 750
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  ## Model description
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@@ -51,6 +48,27 @@ The following hyperparameters were used during training:
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  - num_epochs: 15
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.48.3
 
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  base_model: facebook/deit-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: deit-base-patch16-224_rice-leaf-disease-augmented-v2_fft
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  results: []
 
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  This model is a fine-tuned version of [facebook/deit-base-patch16-224](https://huggingface.co/facebook/deit-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: 0.4335
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+ - Accuracy: 0.8810
 
 
 
 
 
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  ## Model description
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  - num_epochs: 15
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  - mixed_precision_training: Native AMP
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Accuracy | Validation Loss |
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+ |:-------------:|:-----:|:----:|:--------:|:---------------:|
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+ | 1.7917 | 1.0 | 125 | 0.6577 | 1.1504 |
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+ | 0.6305 | 2.0 | 250 | 0.8363 | 0.4746 |
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+ | 0.1802 | 3.0 | 375 | 0.8631 | 0.3663 |
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+ | 0.0508 | 4.0 | 500 | 0.8690 | 0.3550 |
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+ | 0.0152 | 5.0 | 625 | 0.8839 | 0.3373 |
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+ | 0.0092 | 6.0 | 750 | 0.8839 | 0.3433 |
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+ | 0.0067 | 7.0 | 875 | 0.3768 | 0.8839 |
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+ | 0.002 | 8.0 | 1000 | 0.3861 | 0.875 |
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+ | 0.001 | 9.0 | 1125 | 0.3976 | 0.8810 |
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+ | 0.0009 | 10.0 | 1250 | 0.3989 | 0.8839 |
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+ | 0.0008 | 11.0 | 1375 | 0.4085 | 0.8839 |
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+ | 0.0006 | 12.0 | 1500 | 0.4185 | 0.8810 |
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+ | 0.0004 | 13.0 | 1625 | 0.4294 | 0.8780 |
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+ | 0.0004 | 14.0 | 1750 | 0.4326 | 0.8780 |
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+ | 0.0004 | 15.0 | 1875 | 0.4335 | 0.8810 |
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+
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+
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  ### Framework versions
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  - Transformers 4.48.3
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