---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2ast-gender-classification
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wav2ast-gender-classification

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1145
- Accuracy: 0.9641

## 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:
- learning_rate: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.229         | 1.0   | 174  | 0.1875          | 0.9394   |
| 0.1965        | 2.0   | 348  | 0.1767          | 0.9390   |
| 0.1516        | 3.0   | 522  | 0.1393          | 0.9570   |
| 0.1126        | 4.0   | 697  | 0.1235          | 0.9609   |
| 0.1161        | 4.99  | 870  | 0.1145          | 0.9641   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0
- Datasets 2.17.0
- Tokenizers 0.15.2