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# vit-large-patch16-224-dungeon-geo-morphs-0-4-28Nov24-006

This model is a fine-tuned version of [google/vit-large-patch16-224](https://huggingface.co/google/vit-large-patch16-224) on the dungeon-geo-morphs dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0747
- Accuracy: 0.9821

## 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: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 40
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.6194        | 4.0   | 10   | 1.2322          | 0.6214   |
| 0.7978        | 8.0   | 20   | 0.5919          | 0.925    |
| 0.2576        | 12.0  | 30   | 0.2721          | 0.9679   |
| 0.0723        | 16.0  | 40   | 0.1548          | 0.9786   |
| 0.0202        | 20.0  | 50   | 0.1066          | 0.9768   |
| 0.0067        | 24.0  | 60   | 0.0747          | 0.9821   |
| 0.0035        | 28.0  | 70   | 0.0754          | 0.9768   |
| 0.0027        | 32.0  | 80   | 0.0730          | 0.9786   |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3

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