---
language: id
license: apache-2.0
tags:
    - audio-classification
    - generated_from_trainer
metrics:
    - accuracy
    - f1
model-index:
    - name: wav2vec2-xls-r-adult-child-id-cls
      results: []
---

# Wav2Vec2 XLS-R Adult/Child Indonesian Speech Classifier

Wav2Vec2 XLS-R Adult/Child Indonesian Speech Classifier is an audio classification model based on the [XLS-R](https://arxiv.org/abs/2111.09296) architecture. This model is a fine-tuned version of [wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on a private adult/child Indonesian 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-xls-r-adult-child-id-cls` | 300M    | XLS-R | Adult/Child Indonesian Speech Classification Dataset |

## Evaluation Results

The model achieves the following results on evaluation:

| Dataset                                      | Loss   | Accuracy | F1     |
| -------------------------------------------- | ------ | -------- | ------ |
| Adult/Child Indonesian Speech Classification | 0.1970 | 93.38%   | 0.9307 |

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:

-   `learning_rate`: 3e-05
-   `train_batch_size`: 8
-   `eval_batch_size`: 8
-   `seed`: 42
-   `gradient_accumulation_steps`: 4
-   `total_train_batch_size`: 32
-   `optimizer`: Adam with `betas=(0.9,0.999)` and `epsilon=1e-08`
-   `lr_scheduler_type`: linear
-   `lr_scheduler_warmup_ratio`: 0.1
-   `num_epochs`: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |   F1   |
| :-----------: | :---: | :--: | :-------------: | :------: | :----: |
|     0.336     |  1.0  | 305  |     0.3146      |  0.8845  | 0.8698 |
|    0.2345     |  2.0  | 610  |     0.2140      |  0.9251  | 0.9202 |
|    0.3215     |  3.0  | 915  |     0.2038      |  0.9315  | 0.9286 |
|    0.2059     |  4.0  | 1220 |     0.1970      |  0.9338  | 0.9307 |

## Disclaimer

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

## Authors

Wav2Vec2 XLS-R Adult/Child Indonesian Speech Classifier was trained and evaluated by [Ananto Joyoadikusumo](https://anantoj.github.io/). All computation and development are done on Kaggle.

## Framework versions

-   Transformers 4.18.0
-   Pytorch 1.11.0+cu102
-   Datasets 2.2.0
-   Tokenizers 0.12.1