| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_keras_callback |
| base_model: google/vit-base-patch16-224-in21k |
| model-index: |
| - name: vit_spectrogram |
| 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_spectrogram |
| |
| This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on a dataset containing |
| images of Mel spectrogram belonging to the classes 'Male' and 'Female'. This model is still being fine tuned and tested. |
| It achieves the following results on the evaluation set: |
| - Train Loss: 0.2893 |
| - Train Accuracy: 0.8757 |
| - Train Top-3-accuracy: 1.0000 |
| - Validation Loss: 0.8757 |
| - Validation Accuracy: 0.9366 |
| - Validation Top-3-accuracy: 1.0 |
| - Epoch: 1 |
| |
| |
| ## 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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 3032, '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}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000} |
| - training_precision: mixed_float16 |
| |
| ### Training results |
| |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.18.0 |
| - TensorFlow 2.4.0 |
| - Datasets 2.0.0 |
| - Tokenizers 0.11.6 |
| |
