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# finetuned-indian-96cls-balanced

This model is a fine-tuned version of [Sarthak003/finetuned-indian-96cls-balanced](https://huggingface.co/Sarthak003/finetuned-indian-96cls-balanced) on the indian_food_images dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9211
- Accuracy: 0.7823

## 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.9087        | 0.4167 | 100  | 1.3922          | 0.6625   |
| 0.7702        | 0.8333 | 200  | 1.2053          | 0.7052   |
| 0.5377        | 1.25   | 300  | 1.2581          | 0.6781   |
| 0.5526        | 1.6667 | 400  | 1.1839          | 0.6937   |
| 0.4904        | 2.0833 | 500  | 1.1946          | 0.6865   |
| 0.4365        | 2.5    | 600  | 1.1218          | 0.7104   |
| 0.3538        | 2.9167 | 700  | 1.1562          | 0.6958   |
| 0.407         | 3.3333 | 800  | 1.1106          | 0.7094   |
| 0.4028        | 3.75   | 900  | 1.1087          | 0.7104   |
| 0.1751        | 4.1667 | 1000 | 1.1438          | 0.7177   |
| 0.3216        | 4.5833 | 1100 | 1.1052          | 0.7271   |
| 0.3618        | 5.0    | 1200 | 1.0883          | 0.7146   |
| 0.2827        | 5.4167 | 1300 | 1.0367          | 0.7312   |
| 0.2351        | 5.8333 | 1400 | 1.0086          | 0.7406   |
| 0.3047        | 6.25   | 1500 | 1.0453          | 0.75     |
| 0.1383        | 6.6667 | 1600 | 0.9886          | 0.75     |
| 0.2271        | 7.0833 | 1700 | 0.9542          | 0.7667   |
| 0.3034        | 7.5    | 1800 | 0.9683          | 0.7635   |
| 0.3133        | 7.9167 | 1900 | 0.9404          | 0.7625   |
| 0.1997        | 8.3333 | 2000 | 0.9467          | 0.7615   |
| 0.1457        | 8.75   | 2100 | 0.9716          | 0.7594   |
| 0.1462        | 9.1667 | 2200 | 0.9388          | 0.7667   |
| 0.2873        | 9.5833 | 2300 | 0.9265          | 0.7844   |
| 0.2293        | 10.0   | 2400 | 0.9211          | 0.7823   |


### Framework versions

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

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