---
language: en
license: apache-2.0
tags:
- audio-classification
- generated_from_trainer
metrics:
- accuracy
- f1
base_model: wav2vec2-base
model-index:
- name: wav2vec2-adult-child-cls
  results: []
---

# Wav2Vec2 Adult/Child Speech Classifier

Wav2Vec2 Adult/Child Speech Classifier is an audio classification model based on the [wav2vec 2.0](https://arxiv.org/abs/2006.11477) architecture. This model is a fine-tuned version of [wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on a private adult/child speech classification dataset.

This model was trained using HuggingFace's PyTorch framework. All training was done on a Tesla P100, provided by Kaggle. Training metrics were logged via Tensorboard.

## Model

| Model                      | #params | Arch.       | Training/Validation data (text)           |
| -------------------------- | ------- | ----------- | ----------------------------------------- |
| `wav2vec2-adult-child-cls` | 91M     | wav2vec 2.0 | Adult/Child Speech Classification Dataset |

## Evaluation Results

The model achieves the following results on evaluation:

| Dataset                           | Loss   | Accuracy | F1     |
| --------------------------------- | ------ | -------- | ------ |
| Adult/Child Speech Classification | 0.1682 | 95.80%   | 0.9618 |

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:

- `learning_rate`: 3e-05
- `train_batch_size`: 32
- `eval_batch_size`: 32
- `seed`: 42
- `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 |   F1   |
| :-----------: | :---: | :--: | :-------------: | :------: | :----: |
|    0.2709     |  1.0  | 384  |     0.2616      |  0.9104  | 0.9142 |
|    0.2112     |  2.0  | 768  |     0.1826      |  0.9386  | 0.9421 |
|    0.1755     |  3.0  | 1152 |     0.1898      |  0.9354  | 0.9428 |
|    0.0915     |  4.0  | 1536 |     0.1682      |  0.9580  | 0.9618 |
|    0.1042     |  5.0  | 1920 |     0.1717      |  0.9511  | 0.9554 |

## Disclaimer

Do consider the biases which came from pre-training datasets that may be carried over into the results of this model.

## Authors

Wav2Vec2 Adult/Child Speech Classifier was trained and evaluated by [Wilson Wongso](https://w11wo.github.io/). All computation and development are done on Kaggle.

## Framework versions

- Transformers 4.16.2
- Pytorch 1.10.2+cu102
- Datasets 1.18.3
- Tokenizers 0.10.3