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# HarshaSingamshetty1/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: 1.3721
- Train Accuracy: 0.4404
- Validation Loss: 1.6641
- Validation Accuracy: 0.4000
- 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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.0005, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 3.2127     | 0.1021         | 2.8916          | 0.1340              | 0     |
| 2.7296     | 0.1255         | 2.7126          | 0.1213              | 1     |
| 2.3888     | 0.2468         | 2.3456          | 0.2489              | 2     |
| 2.1480     | 0.2702         | 2.1604          | 0.2830              | 3     |
| 2.0789     | 0.3170         | 2.0942          | 0.3106              | 4     |
| 1.8117     | 0.3851         | 1.8224          | 0.3766              | 5     |
| 1.6477     | 0.3426         | 1.8774          | 0.3596              | 6     |
| 1.5677     | 0.4404         | 1.7042          | 0.4362              | 7     |
| 1.4018     | 0.4660         | 1.4974          | 0.4553              | 8     |
| 1.3721     | 0.4404         | 1.6641          | 0.4000              | 9     |


### Framework versions

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

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