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@@ -8,21 +8,21 @@ metrics:
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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-v3
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  results: []
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  ---
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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-v3](https://huggingface.co/w11wo/wav2vec2-adult-child-cls-v3) 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](https://huggingface.co/w11wo/distil-wav2vec2-adult-child-cls-v3/tensorboard) 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-v3` | 52M | wav2vec 2.0 | Adult/Child Speech Classification Dataset |
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  ## Evaluation Results
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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-52M
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  results: []
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  ---
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+ # DistilWav2Vec2 Adult/Child Speech Classifier 52M
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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-52M` | 52M | wav2vec 2.0 | Adult/Child Speech Classification Dataset |
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  ## Evaluation Results
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