---
library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- dog
- food
- ViT
- generated_from_trainer
model-index:
- name: ViT_dog_food
  results: []
---

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

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the dog_food dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6250

## 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: 64
- eval_batch_size: 64
- 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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 36   | 0.6250          |
| No log        | 2.0   | 72   | 0.2477          |
| No log        | 3.0   | 108  | 0.1574          |
| No log        | 4.0   | 144  | 0.1282          |
| No log        | 5.0   | 180  | 0.1140          |
| No log        | 6.0   | 216  | 0.1067          |
| No log        | 7.0   | 252  | 0.1027          |
| No log        | 8.0   | 288  | 0.1014          |


### Framework versions

- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1