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---
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
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