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# vit-base-patch16-224-in21k-rotated-dungeons-v001

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: 1.1914
- Accuracy: 0.8214

## 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: 8
- eval_batch_size: 8
- seed: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 6    | 1.4924          | 0.5      |
| No log        | 2.0   | 12   | 1.4798          | 0.5      |
| No log        | 3.0   | 18   | 1.4518          | 0.5357   |
| No log        | 4.0   | 24   | 1.4402          | 0.5357   |
| No log        | 5.0   | 30   | 1.4052          | 0.5357   |
| No log        | 6.0   | 36   | 1.3828          | 0.6786   |
| No log        | 7.0   | 42   | 1.3588          | 0.6786   |
| No log        | 8.0   | 48   | 1.3295          | 0.6786   |
| No log        | 9.0   | 54   | 1.3263          | 0.7143   |
| No log        | 10.0  | 60   | 1.3072          | 0.75     |
| No log        | 11.0  | 66   | 1.2918          | 0.7143   |
| No log        | 12.0  | 72   | 1.2718          | 0.8214   |
| No log        | 13.0  | 78   | 1.2728          | 0.7857   |
| No log        | 14.0  | 84   | 1.2628          | 0.75     |
| No log        | 15.0  | 90   | 1.2333          | 0.7857   |
| No log        | 16.0  | 96   | 1.2253          | 0.7857   |
| No log        | 17.0  | 102  | 1.2240          | 0.7857   |
| No log        | 18.0  | 108  | 1.2249          | 0.7857   |
| No log        | 19.0  | 114  | 1.2177          | 0.7857   |
| No log        | 20.0  | 120  | 1.2098          | 0.7857   |
| No log        | 21.0  | 126  | 1.2029          | 0.8214   |
| No log        | 22.0  | 132  | 1.1875          | 0.8571   |
| No log        | 23.0  | 138  | 1.1873          | 0.8571   |
| No log        | 24.0  | 144  | 1.2051          | 0.7857   |
| No log        | 25.0  | 150  | 1.1914          | 0.8214   |


### Framework versions

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

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