readme: ---
  language: en
  license: apache-2.0
  tags:
    - audio-classification
    - generated_from_trainer
  metrics:
    - accuracy
    - f1
  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
  