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GenreVim-Music-Detection-DistilHuBERT
MarekCech/GenreVim-Music-Detection-DistilHuBERT
GenreVim-Music-Detection-DistilHuBERT is a audio classification model from MarekCech. Use it for the audio classification task on the model card, and read the license before you ship it in a product. It is set up for transformers.
This model is finetuned version of ntu-spml/distilhubert for music detection.
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At a glance
- Task
- Audio Classification
- Library
- transformers
- Model type
- hubert
- Access
- Public
- Created
- Jul 3, 2024
- Updated
- Aug 12, 2024
- SHA
- 1b26b69c
Model card
From the Hugging Face model README
This model is finetuned version of ntu-spml/distilhubert for music detection.
This model was finetuned to distinguish between music and non-music audio.
Training hyperparameters
The following hyperparameters were used during training:
- metric_for_best_model = accuracy
- learning_rate = 5e-5
- seed = 42
- per_device_train_batch_size = 4
- per_device_eval_batch_size = 4
- gradient_accumulation_steps = 1
- warmup_ratio = 0.1
- fp16 = True
- adam_epsilon = 1e-08
- adam_beta1 = 0.9
- adam_beta2 = 0.999
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- Created
- Jul 3, 2024
- Updated
- Aug 12, 2024