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Model save

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README.md CHANGED
@@ -4,6 +4,8 @@ license: apache-2.0
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  base_model: microsoft/swin-base-patch4-window7-224
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: swin-base-patch4-window7-224_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 [microsoft/swin-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-patch4-window7-224) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - epoch: 9.0
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- - eval_accuracy: 0.992
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- - eval_loss: 0.0218
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- - eval_runtime: 82.0242
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- - eval_samples_per_second: 24.383
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- - eval_steps_per_second: 0.39
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- - step: 2250
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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: microsoft/swin-base-patch4-window7-224
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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: swin-base-patch4-window7-224_rice-leaf-disease-augmented_fft_012825
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  results: []
 
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  This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-patch4-window7-224) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0472
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+ - Accuracy: 0.988
 
 
 
 
 
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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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+ | 1.5476 | 1.0 | 250 | 0.789 | 0.5917 |
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+ | 0.3353 | 2.0 | 500 | 0.9575 | 0.1408 |
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+ | 0.0827 | 3.0 | 750 | 0.985 | 0.0427 |
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+ | 0.027 | 4.0 | 1000 | 0.9885 | 0.0344 |
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+ | 0.0095 | 5.0 | 1250 | 0.9925 | 0.0188 |
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+ | 0.0076 | 6.0 | 1500 | 0.995 | 0.0119 |
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+ | 0.003 | 7.0 | 1750 | 0.9955 | 0.0090 |
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+ | 0.0023 | 8.0 | 2000 | 0.9955 | 0.0163 |
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+ | 0.0012 | 9.0 | 2250 | 0.992 | 0.0218 |
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+ | 0.0017 | 10.0 | 2500 | 0.0100 | 0.996 |
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+ | 0.0044 | 11.0 | 2750 | 0.0236 | 0.9955 |
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+ | 0.0048 | 12.0 | 3000 | 0.0249 | 0.9925 |
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+ | 0.0023 | 13.0 | 3250 | 0.0182 | 0.9955 |
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+ | 0.0032 | 14.0 | 3500 | 0.0198 | 0.994 |
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+ | 0.0017 | 15.0 | 3750 | 0.0472 | 0.988 |
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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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