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# vit-base-SimpsonsVIT_III

This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the simpsons dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1666
- Accuracy: 0.7105

## 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: 0.0003
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.7106        | 1.0   | 1047 | 1.6790          | 0.6111   |
| 1.3612        | 2.0   | 2094 | 1.3673          | 0.6775   |
| 1.2199        | 3.0   | 3141 | 1.2461          | 0.7033   |
| 1.0933        | 4.0   | 4188 | 1.1879          | 0.7100   |
| 0.9845        | 5.0   | 5235 | 1.1653          | 0.7129   |


### Framework versions

- Transformers 4.52.2
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1

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