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finetuned-indian-food
Sarthak003/finetuned-indian-food
finetuned-indian-food is a image classification model from Sarthak003. 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 29, 2025
- Updated
- Apr 29, 2025
- SHA
- d4f56fab
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. -->
finetuned-indian-food
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the indian_food_images dataset. It achieves the following results on the evaluation set:
- Loss: 0.2746
- Accuracy: 0.9341
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 |
|---|---|---|---|---|
| 0.9137 | 0.3003 | 100 | 1.0509 | 0.8045 |
| 0.7366 | 0.6006 | 200 | 0.6186 | 0.8693 |
| 0.6302 | 0.9009 | 300 | 0.5310 | 0.8767 |
| 0.4666 | 1.2012 | 400 | 0.6071 | 0.8332 |
| 0.5461 | 1.5015 | 500 | 0.5630 | 0.8587 |
| 0.3645 | 1.8018 | 600 | 0.4435 | 0.8789 |
| 0.2982 | 2.1021 | 700 | 0.3622 | 0.9075 |
| 0.3269 | 2.4024 | 800 | 0.3381 | 0.9086 |
| 0.2817 | 2.7027 | 900 | 0.3447 | 0.9160 |
| 0.1864 | 3.0030 | 1000 | 0.3378 | 0.9171 |
| 0.1448 | 3.3033 | 1100 | 0.2802 | 0.9330 |
| 0.1908 | 3.6036 | 1200 | 0.2880 | 0.9309 |
| 0.1987 | 3.9039 | 1300 | 0.2746 | 0.9341 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.1
- Tokenizers 0.21.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Apr 29, 2025
- Updated
- Apr 29, 2025