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# vit-base-patch16-224-in21k-rotated-dungeons-v002

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 rotated_maps dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0084
- Accuracy: 0.8571

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 12   | 1.1281          | 0.8571   |
| No log        | 2.0   | 24   | 1.1248          | 0.8571   |
| No log        | 3.0   | 36   | 1.0930          | 0.8571   |
| No log        | 4.0   | 48   | 1.1040          | 0.8214   |
| No log        | 5.0   | 60   | 1.0646          | 0.8214   |
| No log        | 6.0   | 72   | 1.0540          | 0.8214   |
| No log        | 7.0   | 84   | 1.0309          | 0.8571   |
| No log        | 8.0   | 96   | 1.0274          | 0.8571   |
| No log        | 9.0   | 108  | 1.0155          | 0.8571   |
| No log        | 10.0  | 120  | 1.0079          | 0.8571   |
| No log        | 11.0  | 132  | 1.0175          | 0.8571   |
| No log        | 12.0  | 144  | 1.0029          | 0.8571   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1

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