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# my_awesome_food_model

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4531
- Accuracy: 0.8316

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 13.0226       | 0.96  | 18   | 3.0353          | 0.5657   |
| 11.4628       | 1.96  | 36   | 2.5629          | 0.6397   |
| 9.6079        | 2.96  | 54   | 2.2381          | 0.6869   |
| 8.2561        | 3.96  | 72   | 1.9910          | 0.7407   |
| 7.4298        | 4.96  | 90   | 1.7888          | 0.7744   |
| 7.0857        | 5.96  | 108  | 1.6669          | 0.7879   |
| 6.3554        | 6.96  | 126  | 1.5553          | 0.8283   |
| 5.8062        | 7.96  | 144  | 1.5177          | 0.8283   |
| 5.6472        | 8.96  | 162  | 1.4658          | 0.8215   |
| 5.5685        | 9.96  | 180  | 1.4531          | 0.8316   |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0

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