| --- |
| 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 |
| |
