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---
library_name: transformers
base_model: Kkonjeong/wav2vec2-base-korean
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: audio_cls
results: []
---
<!-- 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](https://huggingface.co/Kkonjeong/wav2vec2-base-korean) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4580
- Accuracy: 0.9160
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.6442 | 1.0 | 30 | 2.6120 | 0.0504 |
| 2.3306 | 2.0 | 60 | 2.1926 | 0.5714 |
| 1.7797 | 3.0 | 90 | 1.7223 | 0.6471 |
| 1.2373 | 4.0 | 120 | 1.2603 | 0.8655 |
| 0.8446 | 5.0 | 150 | 0.9829 | 0.8487 |
| 0.5229 | 6.0 | 180 | 0.7589 | 0.8739 |
| 0.2861 | 7.0 | 210 | 0.5388 | 0.9076 |
| 0.1768 | 8.0 | 240 | 0.4678 | 0.9244 |
| 0.1373 | 9.0 | 270 | 0.4671 | 0.9328 |
| 0.1181 | 10.0 | 300 | 0.4580 | 0.9160 |
### Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0
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