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README.md CHANGED
@@ -4,6 +4,8 @@ license: apache-2.0
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  base_model: facebook/dinov2-base
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: dinov2-base_rice-leaf-disease-augmented_fft_012825
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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/dinov2-base](https://huggingface.co/facebook/dinov2-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - epoch: 12.0
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- - eval_accuracy: 0.997
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- - eval_loss: 0.0155
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- - eval_runtime: 106.5951
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- - eval_samples_per_second: 18.763
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- - eval_steps_per_second: 0.3
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- - step: 3000
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  ## Model description
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@@ -50,6 +47,27 @@ The following hyperparameters were used during training:
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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: facebook/dinov2-base
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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: dinov2-base_rice-leaf-disease-augmented_fft_012825
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  results: []
 
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  This model is a fine-tuned version of [facebook/dinov2-base](https://huggingface.co/facebook/dinov2-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0125
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+ - Accuracy: 0.9965
 
 
 
 
 
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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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+
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+ | Training Loss | Epoch | Step | Accuracy | Validation Loss |
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+ |:-------------:|:-----:|:----:|:--------:|:---------------:|
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+ | 0.8384 | 1.0 | 250 | 0.931 | 0.2042 |
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+ | 0.1037 | 2.0 | 500 | 0.96 | 0.1290 |
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+ | 0.0574 | 3.0 | 750 | 0.977 | 0.0657 |
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+ | 0.0255 | 4.0 | 1000 | 0.985 | 0.0527 |
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+ | 0.0096 | 5.0 | 1250 | 0.988 | 0.0374 |
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+ | 0.0052 | 6.0 | 1500 | 0.997 | 0.0128 |
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+ | 0.0018 | 7.0 | 1750 | 0.9945 | 0.0131 |
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+ | 0.0027 | 8.0 | 2000 | 0.997 | 0.0122 |
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+ | 0.0004 | 9.0 | 2250 | 0.997 | 0.0153 |
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+ | 0.0013 | 10.0 | 2500 | 0.997 | 0.0128 |
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+ | 0.0004 | 11.0 | 2750 | 0.9965 | 0.0147 |
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+ | 0.0004 | 12.0 | 3000 | 0.997 | 0.0155 |
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+ | 0.0003 | 13.0 | 3250 | 0.0118 | 0.9955 |
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+ | 0.0004 | 14.0 | 3500 | 0.0123 | 0.9955 |
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+ | 0.0003 | 15.0 | 3750 | 0.0125 | 0.9965 |
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+
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+
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  ### Framework versions
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  - Transformers 4.47.1
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