---
license: apache-2.0
base_model: facebook/deit-tiny-patch16-224
tags:
- image-classification
- vision
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: food101-deit-tiny-patch16-224
  results: []
---

<!-- 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. -->

# food101-deit-tiny-patch16-224

This model is a fine-tuned version of [facebook/deit-tiny-patch16-224](https://huggingface.co./facebook/deit-tiny-patch16-224) on the food101 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6538
- Accuracy: 0.8204

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.7988        | 1.0   | 9469  | 1.4392          | 0.6555   |
| 1.5581        | 2.0   | 18938 | 1.1165          | 0.7145   |
| 1.2981        | 3.0   | 28407 | 0.9254          | 0.7558   |
| 1.4347        | 4.0   | 37876 | 0.8343          | 0.7739   |
| 0.9679        | 5.0   | 47345 | 0.7731          | 0.7922   |
| 0.9975        | 6.0   | 56814 | 0.7378          | 0.7998   |
| 1.0269        | 7.0   | 66283 | 0.7022          | 0.8073   |
| 0.8969        | 8.0   | 75752 | 0.6865          | 0.8117   |
| 0.8152        | 9.0   | 85221 | 0.6641          | 0.8194   |
| 0.7437        | 10.0  | 94690 | 0.6538          | 0.8204   |


### Framework versions

- Transformers 4.38.0
- Pytorch 2.1.2+cu118
- Datasets 2.19.1
- Tokenizers 0.15.2