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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: google/vit-hybrid-base-bit-384
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: vit-hybrid-base-bit-384_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 [google/vit-hybrid-base-bit-384](https://huggingface.co/google/vit-hybrid-base-bit-384) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - epoch: 7.0
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- - eval_accuracy: 0.9286
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- - eval_loss: 0.3432
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- - eval_runtime: 17.2537
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- - eval_samples_per_second: 19.474
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- - eval_steps_per_second: 0.638
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- - step: 1750
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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: google/vit-hybrid-base-bit-384
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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: vit-hybrid-base-bit-384_rice-leaf-disease-augmented-v2_fft
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  results: []
 
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  This model is a fine-tuned version of [google/vit-hybrid-base-bit-384](https://huggingface.co/google/vit-hybrid-base-bit-384) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3756
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+ - Accuracy: 0.9286
 
 
 
 
 
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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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+ | 1.203 | 1.0 | 250 | 0.8512 | 0.4459 |
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+ | 0.1159 | 2.0 | 500 | 0.9077 | 0.3121 |
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+ | 0.0136 | 3.0 | 750 | 0.9226 | 0.3433 |
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+ | 0.001 | 4.0 | 1000 | 0.9226 | 0.3377 |
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+ | 0.0003 | 5.0 | 1250 | 0.9226 | 0.3365 |
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+ | 0.0002 | 6.0 | 1500 | 0.9286 | 0.3366 |
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+ | 0.0002 | 7.0 | 1750 | 0.9286 | 0.3432 |
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+ | 0.0001 | 8.0 | 2000 | 0.3478 | 0.9286 |
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+ | 0.0001 | 9.0 | 2250 | 0.3530 | 0.9286 |
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+ | 0.0001 | 10.0 | 2500 | 0.3543 | 0.9286 |
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+ | 0.0001 | 11.0 | 2750 | 0.3592 | 0.9286 |
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+ | 0.0 | 12.0 | 3000 | 0.3698 | 0.9286 |
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+ | 0.0 | 13.0 | 3250 | 0.3730 | 0.9286 |
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+ | 0.0 | 14.0 | 3500 | 0.3750 | 0.9286 |
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+ | 0.0 | 15.0 | 3750 | 0.3756 | 0.9286 |
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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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