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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: vit_spectrogram |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# vit_spectrogram |
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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 |
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images of Mel spectrogram belonging to the classes 'Male' and 'Female'. This model is still being fine tuned and tested. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.2893 |
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- Train Accuracy: 0.8757 |
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- Train Top-3-accuracy: 1.0000 |
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- Validation Loss: 0.8757 |
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- Validation Accuracy: 0.9366 |
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- Validation Top-3-accuracy: 1.0 |
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- Epoch: 1 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- 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} |
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- training_precision: mixed_float16 |
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### Training results |
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### Framework versions |
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- Transformers 4.18.0 |
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- TensorFlow 2.4.0 |
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- Datasets 2.0.0 |
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- Tokenizers 0.11.6 |
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