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# finetuned-indian-food

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the indian_food_images dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2180
- Accuracy: 0.9490

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.0379        | 0.3003 | 100  | 0.9497          | 0.8533   |
| 0.8471        | 0.6006 | 200  | 0.6507          | 0.8597   |
| 0.5657        | 0.9009 | 300  | 0.5872          | 0.8512   |
| 0.5011        | 1.2012 | 400  | 0.4549          | 0.8842   |
| 0.3625        | 1.5015 | 500  | 0.4718          | 0.8725   |
| 0.5228        | 1.8018 | 600  | 0.3749          | 0.8990   |
| 0.2337        | 2.1021 | 700  | 0.3502          | 0.9107   |
| 0.234         | 2.4024 | 800  | 0.3021          | 0.9267   |
| 0.241         | 2.7027 | 900  | 0.2905          | 0.9245   |
| 0.1572        | 3.0030 | 1000 | 0.2573          | 0.9426   |
| 0.1522        | 3.3033 | 1100 | 0.2363          | 0.9384   |
| 0.1375        | 3.6036 | 1200 | 0.2256          | 0.9479   |
| 0.1089        | 3.9039 | 1300 | 0.2180          | 0.9490   |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.1
- Tokenizers 0.21.0

burger butter_naan kaathi_rolls kadai_paneer kulfi masala_dosa momos paani_puri pakode pav_bhaji pizza samosa chai chapati chole_bhature dal_makhani dhokla fried_rice idli jalebi