Wav2Vec2 XLS-R Adult/Child Indonesian Speech Classifier is an audio classification model based on the XLS-R architecture. This model is a fine-tuned version of 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||#params||Arch.||Training/Validation data (text)|
||300M||XLS-R||Adult/Child Indonesian Speech Classification Dataset|
The model achieves the following results on evaluation:
|Adult/Child Indonesian Speech Classification||0.1970||93.38%||0.9307|
The following hyperparameters were used during training:
optimizer: Adam with
|Training Loss||Epoch||Step||Validation Loss||Accuracy||F1|
Do consider the biases which came from pre-training datasets that may be carried over into the results of this model.
Wav2Vec2 XLS-R Adult/Child Indonesian Speech Classifier was trained and evaluated by Ananto Joyoadikusumo. All computation and development are done on Kaggle.
- Transformers 4.18.0
- Pytorch 1.11.0+cu102
- Datasets 2.2.0
- Tokenizers 0.12.1
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