| --- |
| license: apache-2.0 |
| base_model: google/vit-base-patch16-224 |
| tags: |
| - generated_from_keras_callback |
| model-index: |
| - name: vit-base-patch16-224-2class_normal |
| 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. --> |
|
|
| # vit-base-patch16-224-2class_normal |
| |
| This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Train Loss: 0.0023 |
| - Train Accuracy: 0.9828 |
| - Train Top-3-accuracy: 1.0 |
| - Validation Loss: 0.1087 |
| - Validation Accuracy: 0.9839 |
| - Validation Top-3-accuracy: 1.0 |
| - 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 170, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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 | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch | |
| |:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:| |
| | 0.1803 | 0.8483 | 1.0 | 0.0796 | 0.9356 | 1.0 | 0 | |
| | 0.0129 | 0.9548 | 1.0 | 0.0797 | 0.9663 | 1.0 | 1 | |
| | 0.0042 | 0.9721 | 1.0 | 0.1078 | 0.9762 | 1.0 | 2 | |
| | 0.0026 | 0.9791 | 1.0 | 0.1077 | 0.9813 | 1.0 | 3 | |
| | 0.0023 | 0.9828 | 1.0 | 0.1087 | 0.9839 | 1.0 | 4 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.41.2 |
| - TensorFlow 2.15.0 |
| - Datasets 2.20.0 |
| - Tokenizers 0.19.1 |
|
|
