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--- |
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language: id |
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license: apache-2.0 |
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tags: |
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- audio-classification |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: wav2vec2-adult-child-id-cls |
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results: [] |
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--- |
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# Wav2Vec2 Adult/Child Indonesian Speech Classifier |
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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. |
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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. |
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## Model |
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| Model | #params | Arch. | Training/Validation data (text) | |
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| ----------------------------- | ------- | ----------- | ---------------------------------------------------- | |
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| `wav2vec2-adult-child-id-cls` | 91M | wav2vec 2.0 | Adult/Child Indonesian Speech Classification Dataset | |
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## Evaluation Results |
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The model achieves the following results on evaluation: |
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| Dataset | Loss | Accuracy | F1 | |
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| -------------------------------------------- | ------ | -------- | ------ | |
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| Adult/Child Indonesian Speech Classification | 0.2603 | 92.22% | 0.9202 | |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- `learning_rate`: 3e-05 |
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- `train_batch_size`: 32 |
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- `eval_batch_size`: 32 |
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- `seed`: 42 |
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- `optimizer`: Adam with `betas=(0.9,0.999)` and `epsilon=1e-08` |
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- `lr_scheduler_type`: linear |
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- `lr_scheduler_warmup_ratio`: 0.1 |
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- `gradient_accumulation_steps`: 1 |
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- `num_epochs`: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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| :-----------: | :---: | :--: | :-------------: | :------: | :----: | |
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| 0.2415 | 1.0 | 305 | 0.2951 | 0.8804 | 0.8695 | |
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| 0.202 | 2.0 | 610 | 0.2392 | 0.9124 | 0.9081 | |
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| 0.2161 | 3.0 | 915 | 0.2508 | 0.9199 | 0.9161 | |
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| 0.1348 | 4.0 | 1220 | 0.2748 | 0.9153 | 0.9126 | |
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| 0.162 | 5.0 | 1525 | 0.2603 | 0.9222 | 0.9202 | |
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## Disclaimer |
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Do consider the biases which came from pre-training datasets that may be carried over into the results of this model. |
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## Authors |
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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. |
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## Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.11.0+cu102 |
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- Datasets 2.2.0 |
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- Tokenizers 0.12.1 |
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