---
library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224
tags:
- image-classification
- food
- fruits
- junkfood
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: vit-food-classification-gutkia01
  results:
    - task:
        name: Image Classification
        type: image-classification
      dataset:
        name: imagefolder
        type: image
      metrics:
        - name: Accuracy
          type: accuracy
          value: 0.9998
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# vit-food-classification-gutkia01

This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the food-classification dataset.

## 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: 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: 6

### Training results



### Framework versions

- Transformers 4.52.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1