Model save
Browse files- README.md +29 -7
- logs/events.out.tfevents.1740444593.4a8a76f3e68a.1955.1 +2 -2
- model.safetensors +1 -1
README.md
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base_model: google/vit-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: vit-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 [google/vit-base-patch16-224](https://huggingface.co/google/vit-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: 0.3620
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- eval_runtime: 11.0713
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- eval_samples_per_second: 30.349
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- eval_steps_per_second: 0.542
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- step: 2250
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## Model description
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- num_epochs: 19
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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-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: vit-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 [google/vit-base-patch16-224](https://huggingface.co/google/vit-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: 0.3621
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- Accuracy: 0.9226
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## Model description
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- num_epochs: 19
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- mixed_precision_training: Native AMP
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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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| 1.9482 | 1.0 | 125 | 0.5685 | 1.5012 |
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| 0.9894 | 2.0 | 250 | 0.7976 | 0.6444 |
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| 0.3321 | 3.0 | 375 | 0.8958 | 0.3859 |
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| 0.1115 | 4.0 | 500 | 0.9107 | 0.3081 |
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| 0.0387 | 5.0 | 625 | 0.9137 | 0.2980 |
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| 0.0204 | 6.0 | 750 | 0.9137 | 0.2936 |
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| 0.0169 | 7.0 | 875 | 0.9196 | 0.2953 |
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| 0.0078 | 8.0 | 1000 | 0.9226 | 0.3067 |
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| 0.0034 | 9.0 | 1125 | 0.9286 | 0.3087 |
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| 0.0025 | 10.0 | 1250 | 0.9196 | 0.3139 |
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| 0.0023 | 11.0 | 1375 | 0.9196 | 0.3142 |
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| 0.0019 | 12.0 | 1500 | 0.9196 | 0.3288 |
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| 0.0013 | 13.0 | 1625 | 0.9196 | 0.3359 |
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| 0.001 | 14.0 | 1750 | 0.9226 | 0.3413 |
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| 0.0009 | 15.0 | 1875 | 0.9226 | 0.3425 |
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| 0.0009 | 16.0 | 2000 | 0.9226 | 0.3481 |
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| 0.0007 | 17.0 | 2125 | 0.9226 | 0.3571 |
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| 0.0006 | 18.0 | 2250 | 0.9196 | 0.3620 |
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| 0.0005 | 19.0 | 2375 | 0.3621 | 0.9226 |
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### Framework versions
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- Transformers 4.48.3
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logs/events.out.tfevents.1740444593.4a8a76f3e68a.1955.1
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model.safetensors
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