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wav2vec2-base-ft-keyword-spotting
yumeng66/wav2vec2-base-ft-keyword-spotting
wav2vec2-base-ft-keyword-spotting is a audio classification model from yumeng66. 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. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Jul 30, 2025
- Updated
- Jul 30, 2025
- SHA
- 84e21186
Base models
Datasets
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-ft-keyword-spotting
This model is a fine-tuned version of facebook/wav2vec2-base on the superb dataset. It achieves the following results on the evaluation set:
- Loss: 0.0766
- Accuracy: 0.9825
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 0
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4829 | 1.0 | 400 | 0.3829 | 0.9606 |
| 0.1898 | 2.0 | 800 | 0.1314 | 0.9753 |
| 0.1909 | 3.0 | 1200 | 0.0889 | 0.9813 |
| 0.1378 | 4.0 | 1600 | 0.0794 | 0.9815 |
| 0.1142 | 5.0 | 2000 | 0.0766 | 0.9825 |
Framework versions
- Transformers 4.55.0.dev0
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.4
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Jul 30, 2025
- Updated
- Jul 30, 2025