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# UL_exterior_classification

This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6992
- Accuracy: 0.6897

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.8   | 2    | 1.2708          | 0.2184   |
| No log        | 2.0   | 5    | 0.8931          | 0.5977   |
| No log        | 2.8   | 7    | 0.7973          | 0.6437   |
| 0.9888        | 4.0   | 10   | 0.6992          | 0.6897   |
| 0.9888        | 4.8   | 12   | 0.6687          | 0.6897   |
| 0.9888        | 5.6   | 14   | 0.6566          | 0.6897   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1

building_exterior outdoor_area street_view