Downloads · 30 days
8
38% of all-time downloads
audio_cls
yebita/audio_cls
audio_cls is a audio classification model from yebita. 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. --
All-time downloads
21
Public
Parameters
94.6M
378 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors378 MB · 100%
At a glance
- Task
- Audio Classification
- Library
- transformers
- Model type
- wav2vec2
- Access
- Public
- Created
- Sep 22, 2025
- Updated
- Sep 22, 2025
- SHA
- ef0c2886
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. -->
audio_cls
This model is a fine-tuned version of Kkonjeong/wav2vec2-base-korean on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5595
- Accuracy: 0.8655
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: 2
- total_train_batch_size: 16
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.5961 | 1.0 | 30 | 2.5785 | 0.0924 |
| 2.1811 | 2.0 | 60 | 2.1776 | 0.3109 |
| 1.5736 | 3.0 | 90 | 1.7241 | 0.6050 |
| 1.2032 | 4.0 | 120 | 1.4112 | 0.7227 |
| 0.7437 | 5.0 | 150 | 1.0719 | 0.7983 |
| 0.6133 | 6.0 | 180 | 0.8610 | 0.8655 |
| 0.3719 | 7.0 | 210 | 0.7080 | 0.8571 |
| 0.244 | 8.0 | 240 | 0.6369 | 0.8739 |
| 0.1694 | 9.0 | 270 | 0.5884 | 0.8739 |
| 0.1777 | 10.0 | 300 | 0.5595 | 0.8655 |
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 22, 2025
- Updated
- Sep 22, 2025