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Average Model Cost: $0.0000

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Models by this creator

distil-ast-audioset

distil-ast-audioset

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21.0K

Huggingface

distil-wav2vec2-adult-child-cls-52m

distil-wav2vec2-adult-child-cls-52m

DistilWav2Vec2 Adult/Child Speech Classifier 52M DistilWav2Vec2 Adult/Child Speech Classifier is an audio classification model based on the wav2vec 2.0 architecture. This model is a distilled version of wav2vec2-adult-child-cls on a private adult/child 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 Evaluation Results The model achieves the following results on evaluation: Training procedure Training hyperparameters The following hyperparameters were used during training: learning_rate: 3e-05 train_batch_size: 32 eval_batch_size: 32 seed: 42 gradient_accumulation_steps: 4 total_train_batch_size: 128 optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 lr_scheduler_type: linear lr_scheduler_warmup_ratio: 0.1 num_epochs: 3 Training results Disclaimer Do consider the biases which came from pre-training datasets that may be carried over into the results of this model. Authors DistilWav2Vec2 Adult/Child Speech Classifier was trained and evaluated by Wilson Wongso. All computation and development are done on Kaggle. Framework versions Transformers 4.16.2 Pytorch 1.10.2+cu102 Datasets 1.18.3 Tokenizers 0.10.3

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153

Huggingface

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