| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: google/vit-base-patch16-224-in21k |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: AlaaHussien/weather_classifier_model2 |
| | 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. --> |
| |
|
| | # AlaaHussien/weather_classifier_model2 |
| |
|
| | 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: 0.0700 |
| | - Validation Loss: 0.2853 |
| | - Train Accuracy: 0.9250 |
| | - Train Precision: 0.9267 |
| | - Train Recall: 0.9250 |
| | - Train F1: 0.9248 |
| | - Epoch: 19 |
| |
|
| | ## 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': 109780, '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 | Validation Loss | Train Accuracy | Train Precision | Train Recall | Train F1 | Epoch | |
| | |:----------:|:---------------:|:--------------:|:---------------:|:------------:|:--------:|:-----:| |
| | | 1.2545 | 0.6449 | 0.8944 | 0.9010 | 0.8944 | 0.8907 | 0 | |
| | | 0.5392 | 0.3960 | 0.9177 | 0.9191 | 0.9177 | 0.9181 | 1 | |
| | | 0.3498 | 0.3183 | 0.9264 | 0.9271 | 0.9264 | 0.9263 | 2 | |
| | | 0.2787 | 0.2797 | 0.9323 | 0.9331 | 0.9323 | 0.9323 | 3 | |
| | | 0.2155 | 0.2695 | 0.9257 | 0.9279 | 0.9257 | 0.9260 | 4 | |
| | | 0.1899 | 0.3079 | 0.9126 | 0.9165 | 0.9126 | 0.9121 | 5 | |
| | | 0.1599 | 0.2749 | 0.9235 | 0.9259 | 0.9235 | 0.9241 | 6 | |
| | | 0.1470 | 0.2709 | 0.9243 | 0.9257 | 0.9243 | 0.9237 | 7 | |
| | | 0.1305 | 0.2566 | 0.9257 | 0.9263 | 0.9257 | 0.9259 | 8 | |
| | | 0.1131 | 0.2699 | 0.9257 | 0.9271 | 0.9257 | 0.9260 | 9 | |
| | | 0.1042 | 0.2719 | 0.9228 | 0.9240 | 0.9228 | 0.9229 | 10 | |
| | | 0.0977 | 0.2857 | 0.9199 | 0.9208 | 0.9199 | 0.9197 | 11 | |
| | | 0.0816 | 0.2592 | 0.9279 | 0.9294 | 0.9279 | 0.9281 | 12 | |
| | | 0.0894 | 0.2888 | 0.9228 | 0.9256 | 0.9228 | 0.9226 | 13 | |
| | | 0.1011 | 0.2978 | 0.9264 | 0.9287 | 0.9264 | 0.9264 | 14 | |
| | | 0.0756 | 0.2590 | 0.9330 | 0.9344 | 0.9330 | 0.9330 | 15 | |
| | | 0.0668 | 0.2863 | 0.9228 | 0.9255 | 0.9228 | 0.9235 | 16 | |
| | | 0.0650 | 0.2871 | 0.9264 | 0.9282 | 0.9264 | 0.9262 | 17 | |
| | | 0.0644 | 0.3003 | 0.9257 | 0.9279 | 0.9257 | 0.9261 | 18 | |
| | | 0.0700 | 0.2853 | 0.9250 | 0.9267 | 0.9250 | 0.9248 | 19 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.51.3 |
| | - TensorFlow 2.18.0 |
| | - Datasets 3.6.0 |
| | - Tokenizers 0.21.1 |
| | |
