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# PK-B/roof_classification_rearrange_labels

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.7457
- Validation Loss: 0.9674
- Train Accuracy: 0.8106
- Epoch: 9

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 18770, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.0001}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 3.3662     | 3.0784          | 0.3894         | 0     |
| 2.8003     | 2.5991          | 0.5830         | 1     |
| 2.3450     | 2.2234          | 0.6766         | 2     |
| 1.9717     | 1.8939          | 0.7532         | 3     |
| 1.6915     | 1.6970          | 0.7468         | 4     |
| 1.4260     | 1.3627          | 0.8553         | 5     |
| 1.1972     | 1.3024          | 0.8064         | 6     |
| 1.0469     | 1.0933          | 0.8532         | 7     |
| 0.8685     | 1.0638          | 0.8            | 8     |
| 0.7457     | 0.9674          | 0.8106         | 9     |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.14.0
- Datasets 2.15.0
- Tokenizers 0.15.0

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