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# cherrue/pricetag_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: 0.1636
- Validation Loss: 0.1296
- Train Accuracy: 1.0
- Epoch: 2

## 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': 5e-05, 'decay_steps': 1251, '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 |
|:----------:|:---------------:|:--------------:|:-----:|
| 0.9521     | 0.4894          | 1.0            | 0     |
| 0.3312     | 0.2032          | 1.0            | 1     |
| 0.1636     | 0.1296          | 1.0            | 2     |


### Framework versions

- Transformers 4.28.0
- TensorFlow 2.12.0
- Datasets 2.13.1
- Tokenizers 0.13.3

template1_one template2_one_left_label template3_two template5_one_sold_out