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finetuned-indian-food
blaze-05/finetuned-indian-food
finetuned-indian-food is a image classification model from blaze-05. 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
- Apr 23, 2025
- Updated
- Apr 28, 2025
- SHA
- c2d35e15
Base models
Datasets
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. -->
finetuned-indian-food
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.6866
- Accuracy: 0.8286
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- 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: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.9933 | 0.1946 | 100 | 3.0302 | 0.4679 |
| 2.4249 | 0.3891 | 200 | 2.2643 | 0.5594 |
| 2.1319 | 0.5837 | 300 | 2.0092 | 0.5691 |
| 1.7793 | 0.7782 | 400 | 1.7550 | 0.6086 |
| 1.8401 | 0.9728 | 500 | 1.6372 | 0.6407 |
| 1.3499 | 1.1673 | 600 | 1.3922 | 0.6908 |
| 1.2906 | 1.3619 | 700 | 1.2705 | 0.7118 |
| 0.9804 | 1.5564 | 800 | 1.1602 | 0.7322 |
| 1.0783 | 1.7510 | 900 | 1.1229 | 0.7308 |
| 0.968 | 1.9455 | 1000 | 1.0598 | 0.7468 |
| 0.6267 | 2.1401 | 1100 | 0.9519 | 0.7663 |
| 0.7739 | 2.3346 | 1200 | 0.9060 | 0.7785 |
| 0.8705 | 2.5292 | 1300 | 0.8600 | 0.7945 |
| 0.7832 | 2.7237 | 1400 | 0.8134 | 0.8023 |
| 0.7061 | 2.9183 | 1500 | 0.8009 | 0.7984 |
| 0.4784 | 3.1128 | 1600 | 0.7495 | 0.8087 |
| 0.514 | 3.3074 | 1700 | 0.7359 | 0.8101 |
| 0.4407 | 3.5019 | 1800 | 0.7049 | 0.8184 |
| 0.4831 | 3.6965 | 1900 | 0.6899 | 0.8208 |
| 0.4283 | 3.8911 | 2000 | 0.6866 | 0.8286 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Apr 23, 2025
- Updated
- Apr 28, 2025