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# Prahas10/roof-classification

This model is a fine-tuned version of [google/vit-base-patch32-384](https://huggingface.co/google/vit-base-patch32-384) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0374
- Validation Loss: 0.0935
- Train Accuracy: 0.9818
- Epoch: 8

## 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': 4380, '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 |
|:----------:|:---------------:|:--------------:|:-----:|
| 1.9894     | 1.4451          | 0.6364         | 0     |
| 0.6770     | 0.6352          | 0.8727         | 1     |
| 0.2797     | 0.6216          | 0.8455         | 2     |
| 0.1648     | 0.2777          | 0.9            | 3     |
| 0.1120     | 0.2635          | 0.9182         | 4     |
| 0.1131     | 0.3882          | 0.8364         | 5     |
| 0.1013     | 0.6015          | 0.8273         | 6     |
| 0.0444     | 0.1688          | 0.9727         | 7     |
| 0.0374     | 0.0935          | 0.9818         | 8     |


### Framework versions

- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.2

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