
<!-- 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](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: 0.2850
- Accuracy: 0.9299

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.1125        | 0.3003 | 100  | 1.0195          | 0.8268   |
| 0.8802        | 0.6006 | 200  | 0.6498          | 0.8693   |
| 0.6563        | 0.9009 | 300  | 0.5065          | 0.8789   |
| 0.4343        | 1.2012 | 400  | 0.4502          | 0.9001   |
| 0.3887        | 1.5015 | 500  | 0.3969          | 0.8905   |
| 0.5071        | 1.8018 | 600  | 0.4055          | 0.9022   |
| 0.3226        | 2.1021 | 700  | 0.3429          | 0.9203   |
| 0.2538        | 2.4024 | 800  | 0.2985          | 0.9256   |
| 0.2855        | 2.7027 | 900  | 0.3444          | 0.9107   |
| 0.125         | 3.0030 | 1000 | 0.3459          | 0.9107   |
| 0.1862        | 3.3033 | 1100 | 0.2850          | 0.9299   |
| 0.2401        | 3.6036 | 1200 | 0.2923          | 0.9235   |
| 0.1122        | 3.9039 | 1300 | 0.2885          | 0.9277   |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1

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