---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_keras_callback
model-index:
- name: Onno/hotels_classifier
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# Onno/hotels_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: 0.4492
- Validation Loss: 0.5853
- Train Accuracy: 0.6548
- 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 5025, '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 |
|:----------:|:---------------:|:--------------:|:-----:|
| 0.6757     | 0.6910          | 0.5119         | 0     |
| 0.6569     | 0.6739          | 0.5357         | 1     |
| 0.6395     | 0.6663          | 0.5357         | 2     |
| 0.6161     | 0.6465          | 0.6071         | 3     |
| 0.5919     | 0.6299          | 0.6548         | 4     |
| 0.5801     | 0.6173          | 0.6429         | 5     |
| 0.5518     | 0.6039          | 0.6310         | 6     |
| 0.5414     | 0.6205          | 0.6905         | 7     |
| 0.5181     | 0.6138          | 0.6548         | 8     |
| 0.4902     | 0.6300          | 0.6667         | 9     |
| 0.4824     | 0.6672          | 0.6667         | 10    |
| 0.4493     | 0.6038          | 0.6071         | 11    |
| 0.4287     | 0.6329          | 0.6667         | 12    |
| 0.4668     | 0.6371          | 0.6548         | 13    |
| 0.4492     | 0.5853          | 0.6548         | 14    |


### Framework versions

- Transformers 4.32.0
- TensorFlow 2.12.0
- Datasets 2.14.4
- Tokenizers 0.13.3