readme: ---
  language: en
  license: apache-2.0
  tags:
    - audio-classification
    - generated_from_trainer
  metrics:
    - accuracy
    - f1
  model-index:
    - name: distil-wav2vec2-xls-r-adult-child-cls-64m
      results: []
  ---
  
  # DistilWav2Vec2 XLS-R Adult/Child Speech Classifier 64M
  
  DistilWav2Vec2 XLS-R Adult/Child Speech Classifier is an audio classification model based on the [XLS-R](https://arxiv.org/abs/2111.09296) architecture. This model is a distilled version of [wav2vec2-xls-r-adult-child-cls](https://huggingface.co/bookbot/wav2vec2-xls-r-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-xls-r-adult-child-cls-64m` | 64M     | XLS-R | Adult/Child Speech Classification Dataset |
  
  ## Evaluation Results
  
  The model achieves the following results on evaluation:
  
  | Dataset                           | Loss   | Accuracy | F1     |
  | --------------------------------- | ------ | -------- | ------ |
  | Adult/Child Speech Classification | 0.2571 | 93.86%   | 0.9425 |
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  
  - `learning_rate`: 3e-05
  - `train_batch_size`: 16
  - `eval_batch_size`: 16
  - `seed`: 42
  - `gradient_accumulation_steps`: 4
  - `total_train_batch_size`: 64
  - `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   |
  | :-----------: | :---: | :--: | :-------------: | :------: | :----: |
  |    0.5509     |  1.0  | 191  |     0.3685      |  0.9086  | 0.9131 |
  |    0.4543     |  2.0  | 382  |     0.3113      |  0.9247  | 0.9285 |
  |     0.409     |  3.0  | 573  |     0.2723      |  0.9372  | 0.9418 |
  |    0.3024     |  4.0  | 764  |     0.2786      |  0.9381  | 0.9417 |
  |    0.3103     |  5.0  | 955  |     0.2571      |  0.9386  | 0.9425 |
  
  ## Disclaimer
  
  Do consider the biases which came from pre-training datasets that may be carried over into the results of this model.
  
  ## Authors
  
  DistilWav2Vec2 XLS-R 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 4.17.0.dev0
  - Pytorch 1.10.2+cu102
  - Datasets 1.18.3
  - Tokenizers 0.11.0