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# finetuned-indian-food-80cls

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: 0.9267
- Accuracy: 0.7417

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.6039        | 0.4695 | 100  | 1.9661          | 0.6067   |
| 1.0838        | 0.9390 | 200  | 1.5575          | 0.665    |
| 1.2459        | 1.4085 | 300  | 1.3433          | 0.6633   |
| 0.9601        | 1.8779 | 400  | 1.1770          | 0.7117   |
| 0.8474        | 2.3474 | 500  | 1.1096          | 0.705    |
| 0.5886        | 2.8169 | 600  | 1.0358          | 0.7267   |
| 0.3708        | 3.2864 | 700  | 0.9705          | 0.7383   |
| 0.4988        | 3.7559 | 800  | 0.9267          | 0.7417   |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.1
- Tokenizers 0.21.1

adhirasam aloo_gobi bhatura bhindi_masala biryani boondi butter_chicken chak_hao_kheer cham_cham chana_masala chapati chhena_kheeri aloo_matar chicken_razala chicken_tikka chicken_tikka_masala chikki daal_baati_churma daal_puri dal_makhani dal_tadka dharwad_pedha doodhpak aloo_methi double_ka_meetha dum_aloo gajar_ka_halwa gavvalu ghevar gulab_jamun imarti jalebi kachori kadai_paneer aloo_shimla_mirch kadhi_pakoda kajjikaya kakinada_khaja kalakand karela_bharta kofta kuzhi_paniyaram lassi ledikeni litti_chokha aloo_tikki lyangcha maach_jhol makki_di_roti_sarson_da_saag malapua misi_roti misti_doi modak mysore_pak naan navrattan_korma anarsa palak_paneer paneer_butter_masala phirni pithe poha poornalu pootharekulu qubani_ka_meetha rabri ras_malai ariselu rasgulla sandesh shankarpali sheer_korma sheera shrikhand sohan_halwa sohan_papdi sutar_feni unni_appam bandar_laddu basundi