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finetuned-indian-food
NOTGOD6000/finetuned-indian-food
finetuned-indian-food is a image classification model from NOTGOD6000. 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
- Aug 31, 2025
- Updated
- Aug 31, 2025
- SHA
- e7eace73
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: 0.2340
- Accuracy: 0.9416
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_FUSED 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 |
|---|---|---|---|---|
| 0.9969 | 0.3003 | 100 | 0.9157 | 0.8385 |
| 0.753 | 0.6006 | 200 | 0.7134 | 0.8332 |
| 0.5241 | 0.9009 | 300 | 0.4747 | 0.8863 |
| 0.4923 | 1.2012 | 400 | 0.4100 | 0.9097 |
| 0.4786 | 1.5015 | 500 | 0.3166 | 0.9256 |
| 0.3738 | 1.8018 | 600 | 0.3355 | 0.9054 |
| 0.33 | 2.1021 | 700 | 0.4277 | 0.8810 |
| 0.3905 | 2.4024 | 800 | 0.2913 | 0.9214 |
| 0.2352 | 2.7027 | 900 | 0.2710 | 0.9373 |
| 0.2484 | 3.0030 | 1000 | 0.2655 | 0.9245 |
| 0.1684 | 3.3033 | 1100 | 0.2382 | 0.9320 |
| 0.1851 | 3.6036 | 1200 | 0.2502 | 0.9373 |
| 0.1581 | 3.9039 | 1300 | 0.2340 | 0.9416 |
Framework versions
- Transformers 4.55.4
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Aug 31, 2025
- Updated
- Aug 31, 2025