---
license: apache-2.0
tags:
- generated_from_keras_callback
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