---
language: en
license: apache-2.0
tags:
  - audio-classification
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: distil-wav2vec2-adult-child-cls-52m
    results: []
---

# DistilWav2Vec2 Adult/Child Speech Classifier 52M

DistilWav2Vec2 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 distilled version of [wav2vec2-adult-child-cls](https://huggingface.co/bookbot/wav2vec2-adult-child-cls) 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)           |
| ------------------------------------- | ------- | ----------- | ----------------------------------------- |
| `distil-wav2vec2-adult-child-cls-52m` | 52M     | 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 | 0.1301 | 96.03%   | 0.9639 |

## 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
- `gradient_accumulation_steps`: 4
- `total_train_batch_size`: 128
- `optimizer`: Adam with `betas=(0.9,0.999)` and `epsilon=1e-08`
- `lr_scheduler_type`: linear
- `lr_scheduler_warmup_ratio`: 0.1
- `num_epochs`: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |   F1   |
| :-----------: | :---: | :--: | :-------------: | :------: | :----: |
|     0.212     |  1.0  |  96  |     0.1561      |  0.9561  | 0.9596 |
|    0.1523     |  2.0  | 192  |     0.1408      |  0.9575  | 0.9616 |
|    0.0844     |  3.0  | 288  |     0.1301      |  0.9603  | 0.9639 |

## Disclaimer

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

## Authors

DistilWav2Vec2 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