| --- |
| license: apache-2.0 |
| base_model: google/vit-base-patch16-384 |
| tags: |
| - generated_from_keras_callback |
| model-index: |
| - name: Prahas10/shingles |
| 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. --> |
|
|
| # Prahas10/shingles |
|
|
| This model is a fine-tuned version of [google/vit-base-patch16-384](https://huggingface.co/google/vit-base-patch16-384) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Train Loss: 0.0993 |
| - Validation Loss: 0.6967 |
| - Train Accuracy: 0.8166 |
| - Epoch: 29 |
|
|
| ## 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': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 4e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 4e-05, 'decay_steps': 127899.75, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 10370.25, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.0001} |
| - training_precision: float32 |
| |
| ### Training results |
| |
| | Train Loss | Validation Loss | Train Accuracy | Epoch | |
| |:----------:|:---------------:|:--------------:|:-----:| |
| | 5.2368 | 5.2154 | 0.0047 | 0 | |
| | 5.1655 | 5.1337 | 0.0113 | 1 | |
| | 5.0415 | 4.9860 | 0.0278 | 2 | |
| | 4.8179 | 4.7812 | 0.0781 | 3 | |
| | 4.4541 | 4.4703 | 0.1844 | 4 | |
| | 3.9330 | 4.0779 | 0.2841 | 5 | |
| | 3.3155 | 3.6691 | 0.3650 | 6 | |
| | 2.6546 | 3.3371 | 0.4313 | 7 | |
| | 2.0435 | 3.0037 | 0.4727 | 8 | |
| | 1.5258 | 2.7059 | 0.5193 | 9 | |
| | 1.1079 | 2.4174 | 0.5588 | 10 | |
| | 0.7989 | 2.3590 | 0.5532 | 11 | |
| | 0.5857 | 1.9721 | 0.6298 | 12 | |
| | 0.4337 | 1.7442 | 0.6896 | 13 | |
| | 0.3352 | 1.7334 | 0.6580 | 14 | |
| | 0.2641 | 1.6197 | 0.6670 | 15 | |
| | 0.2042 | 1.7021 | 0.6289 | 16 | |
| | 0.1642 | 1.3843 | 0.7070 | 17 | |
| | 0.1500 | 1.4422 | 0.6787 | 18 | |
| | 0.1251 | 1.2797 | 0.7098 | 19 | |
| | 0.1093 | 0.9233 | 0.8020 | 20 | |
| | 0.1215 | 0.9209 | 0.7977 | 21 | |
| | 0.1007 | 0.9143 | 0.7803 | 22 | |
| | 0.0811 | 0.7952 | 0.8090 | 23 | |
| | 0.0953 | 0.7678 | 0.8260 | 24 | |
| | 0.1033 | 0.8928 | 0.7705 | 25 | |
| | 0.0636 | 0.3480 | 0.9271 | 26 | |
| | 0.0880 | 0.5916 | 0.8669 | 27 | |
| | 0.0861 | 0.8892 | 0.7789 | 28 | |
| | 0.0993 | 0.6967 | 0.8166 | 29 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.41.0 |
| - TensorFlow 2.15.0 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
| |
