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# WargonInnovation-ViT-brand

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: 2.9420

## 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: 56
- eval_batch_size: 56
- 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.5828        | 1.0   | 540  | 3.0740          |
| 3.0225        | 2.0   | 1080 | 2.9955          |
| 2.9336        | 3.0   | 1620 | 2.9478          |
| 2.8204        | 4.0   | 2160 | 2.9420          |


### Framework versions

- Transformers 4.48.2
- Pytorch 2.6.0+cu118
- Datasets 3.2.0
- Tokenizers 0.21.0

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