---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: MyFoodModelViTFull
  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. -->

# MyFoodModelViTFull

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: 0.8555
- Accuracy: 0.912

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 3.808         | 0.8   | 50   | 2.8728          | 0.799    |
| 2.2535        | 1.6   | 100  | 1.8121          | 0.877    |
| 1.5567        | 2.4   | 150  | 1.3607          | 0.905    |
| 1.1859        | 3.2   | 200  | 1.1252          | 0.906    |
| 0.9912        | 4.0   | 250  | 0.9753          | 0.915    |
| 0.8667        | 4.8   | 300  | 0.8917          | 0.919    |
| 0.7875        | 5.6   | 350  | 0.8555          | 0.912    |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1