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wav2vec2-base_ADReSSo
giyong/wav2vec2-base_ADReSSo
wav2vec2-base_ADReSSo is a audio classification model from giyong. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Audio Classification
- Library
- transformers
- Model type
- wav2vec2
- Access
- Public
- Created
- May 2, 2025
- Updated
- May 4, 2025
- SHA
- 24e5428d
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
wav2vec2-base_ADReSSo
This model was trained from scratch on an unknown dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.0+cu118
- Datasets 2.14.6
- Tokenizers 0.21.1
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- Created
- May 2, 2025
- Updated
- May 4, 2025