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# mruby/reef_classifier

This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.2128
- Validation Loss: 0.1995
- Train Accuracy: 0.9365
- Epoch: 4

## 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 18885, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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 |
|:----------:|:---------------:|:--------------:|:-----:|
| 0.6048     | 0.5326          | 0.8392         | 0     |
| 0.4152     | 0.3764          | 0.8878         | 1     |
| 0.2911     | 0.2649          | 0.9259         | 2     |
| 0.2399     | 0.2350          | 0.9217         | 3     |
| 0.2128     | 0.1995          | 0.9365         | 4     |


### Framework versions

- Transformers 4.27.4
- TensorFlow 2.8.0
- Datasets 2.12.0
- Tokenizers 0.13.3

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