readme: ---
  language: en
  license: apache-2.0
  tags:
    - audio-classification
    - generated_from_trainer
  metrics:
    - accuracy
    - f1
  model-index:
    - name: distil-wav2vec2-adult-child-cls-37m
      results: []
  ---
  
  # DistilWav2Vec2 Adult/Child Speech Classifier 37M
  
  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-37m` | 37M     | 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 | 0.1431 | 95.89%   | 0.9624 |
  
  ## 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`: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |   F1   |
  | :-----------: | :---: | :--: | :-------------: | :------: | :----: |
  |    0.2586     |  1.0  |  96  |     0.2257      |  0.9298  | 0.9363 |
  |    0.1917     |  2.0  | 192  |     0.1743      |  0.9460  | 0.9500 |
  |    0.1568     |  3.0  | 288  |     0.1701      |  0.9511  | 0.9545 |
  |    0.0965     |  4.0  | 384  |     0.1501      |  0.9548  | 0.9584 |
  |    0.1179     |  5.0  | 480  |     0.1431      |  0.9589  | 0.9624 |
  
  ## 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 [Ananto Joyoadikusumo](https://anantoj.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