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korean_kws
Arering/korean_kws
korean_kws is a audio classification model from Arering. 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
- Sep 29, 2025
- Updated
- Sep 29, 2025
- SHA
- 456e021f
Base models
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. -->
korean_kws
This model is a fine-tuned version of Kkonjeong/wav2vec2-base-korean on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2695
- Accuracy: 0.6429
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 1 | 1.6348 | 0.1429 |
| No log | 2.0 | 2 | 1.6348 | 0.1429 |
| No log | 3.0 | 3 | 1.6132 | 0.1429 |
| No log | 4.0 | 4 | 1.5740 | 0.2857 |
| No log | 5.0 | 5 | 1.5081 | 0.3571 |
| No log | 6.0 | 6 | 1.4480 | 0.5 |
| No log | 7.0 | 7 | 1.3837 | 0.5 |
| No log | 8.0 | 8 | 1.3302 | 0.6429 |
| No log | 9.0 | 9 | 1.2896 | 0.6429 |
| No log | 10.0 | 10 | 1.2695 | 0.6429 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- Created
- Sep 29, 2025
- Updated
- Sep 29, 2025