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vit-base-patch16-224_augmented-v2_fft
cvmil/vit-base-patch16-224_augmented-v2_fft
vit-base-patch16-224_augmented-v2_fft is a image classification model from cvmil. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- Feb 25, 2025
- Updated
- Feb 25, 2025
- SHA
- d95f566c
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
vit-base-patch16-224_rice-leaf-disease-augmented-v2_fft
This model is a fine-tuned version of google/vit-base-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3621
- Accuracy: 0.9226
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 19
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.9482 | 1.0 | 125 | 1.5012 | 0.5685 |
| 0.9894 | 2.0 | 250 | 0.6444 | 0.7976 |
| 0.3321 | 3.0 | 375 | 0.3859 | 0.8958 |
| 0.1115 | 4.0 | 500 | 0.3081 | 0.9107 |
| 0.0387 | 5.0 | 625 | 0.2980 | 0.9137 |
| 0.0204 | 6.0 | 750 | 0.2936 | 0.9137 |
| 0.0169 | 7.0 | 875 | 0.2953 | 0.9196 |
| 0.0078 | 8.0 | 1000 | 0.3067 | 0.9226 |
| 0.0034 | 9.0 | 1125 | 0.3087 | 0.9286 |
| 0.0025 | 10.0 | 1250 | 0.3139 | 0.9196 |
| 0.0023 | 11.0 | 1375 | 0.3142 | 0.9196 |
| 0.0019 | 12.0 | 1500 | 0.3288 | 0.9196 |
| 0.0013 | 13.0 | 1625 | 0.3359 | 0.9196 |
| 0.001 | 14.0 | 1750 | 0.3413 | 0.9226 |
| 0.0009 | 15.0 | 1875 | 0.3425 | 0.9226 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Feb 25, 2025
- Updated
- Feb 25, 2025