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--- |
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language: en |
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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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base_model: wav2vec2-base |
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model-index: |
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- name: wav2vec2-adult-child-cls |
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results: [] |
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--- |
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# Wav2Vec2 Adult/Child Speech Classifier |
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Wav2Vec2 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 fine-tuned version of [wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on a private adult/child 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-cls` | 91M | wav2vec 2.0 | Adult/Child 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 Speech Classification | 0.1682 | 95.80% | 0.9618 | |
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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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- `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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| 0.2709 | 1.0 | 384 | 0.2616 | 0.9104 | 0.9142 | |
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| 0.2112 | 2.0 | 768 | 0.1826 | 0.9386 | 0.9421 | |
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| 0.1755 | 3.0 | 1152 | 0.1898 | 0.9354 | 0.9428 | |
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| 0.0915 | 4.0 | 1536 | 0.1682 | 0.9580 | 0.9618 | |
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| 0.1042 | 5.0 | 1920 | 0.1717 | 0.9511 | 0.9554 | |
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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 Speech Classifier was trained and evaluated by [Wilson Wongso](https://w11wo.github.io/). All computation and development are done on Kaggle. |
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## Framework versions |
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- Transformers 4.16.2 |
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- Pytorch 1.10.2+cu102 |
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- Datasets 1.18.3 |
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- Tokenizers 0.10.3 |
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