readme: ---
  language: id
  license: apache-2.0
  tags:
      - audio-classification
      - generated_from_trainer
  metrics:
      - accuracy
      - f1
  model-index:
      - name: wav2vec2-adult-child-id-cls
        results: []
  ---
  
  # Wav2Vec2 Adult/Child Indonesian Speech Classifier
  
  Wav2Vec2 Adult/Child Indonesian 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 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-adult-child-id-cls` | 91M     | wav2vec 2.0 | 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 | 0.2603 | 92.22%   | 0.9202 |
  
  ## 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
  -   `gradient_accumulation_steps`: 1
  -   `num_epochs`: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |   F1   |
  | :-----------: | :---: | :--: | :-------------: | :------: | :----: |
  |    0.2415     |  1.0  | 305  |     0.2951      |  0.8804  | 0.8695 |
  |     0.202     |  2.0  | 610  |     0.2392      |  0.9124  | 0.9081 |
  |    0.2161     |  3.0  | 915  |     0.2508      |  0.9199  | 0.9161 |
  |    0.1348     |  4.0  | 1220 |     0.2748      |  0.9153  | 0.9126 |
  |     0.162     |  5.0  | 1525 |     0.2603      |  0.9222  | 0.9202 |
  
  ## 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 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
  