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# HarshaSingamshetty1/roof_classifier

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: 1.6380
- Validation Loss: 2.1987
- Train Accuracy: 0.4375
- Epoch: 14

## 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': 1770, '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': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 2.9764     | 2.9730          | 0.05           | 0     |
| 2.8746     | 2.9232          | 0.125          | 1     |
| 2.7792     | 2.8802          | 0.1375         | 2     |
| 2.6648     | 2.8491          | 0.225          | 3     |
| 2.5573     | 2.7563          | 0.1625         | 4     |
| 2.4614     | 2.7155          | 0.2875         | 5     |
| 2.3453     | 2.7005          | 0.2            | 6     |
| 2.2737     | 2.6443          | 0.2875         | 7     |
| 2.1555     | 2.5396          | 0.3625         | 8     |
| 2.0694     | 2.4244          | 0.425          | 9     |
| 2.0112     | 2.3738          | 0.4875         | 10    |
| 1.8867     | 2.3843          | 0.4125         | 11    |
| 1.8217     | 2.2878          | 0.45           | 12    |
| 1.7253     | 2.2642          | 0.475          | 13    |
| 1.6380     | 2.1987          | 0.4375         | 14    |


### Framework versions

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

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