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README.md
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- accuracy
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- f1
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model-index:
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- name: distil-wav2vec2-adult-child-cls
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results: []
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# DistilWav2Vec2 Adult/Child Speech Classifier
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DistilWav2Vec2 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 distilled version of [wav2vec2-adult-child-cls
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This model was trained using HuggingFace's PyTorch framework. All training was done on a Tesla P100, provided by Kaggle.
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## Model
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| Model
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| `distil-wav2vec2-adult-child-cls` | 37M | wav2vec 2.0 | Adult/Child Speech Classification Dataset |
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## Evaluation Results
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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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- accuracy
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- f1
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model-index:
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- name: distil-wav2vec2-adult-child-cls-37m
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results: []
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---
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# DistilWav2Vec2 Adult/Child Speech Classifier 37M
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DistilWav2Vec2 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 distilled version of [wav2vec2-adult-child-cls](https://huggingface.co/bookbot/wav2vec2-adult-child-cls) 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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| `distil-wav2vec2-adult-child-cls-37m` | 37M | wav2vec 2.0 | Adult/Child Speech Classification Dataset |
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## Evaluation Results
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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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