---
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: 0.4659
- Accuracy: 0.8992

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.6218        | 1.0   | 60   | 2.6014          | 0.1261   |
| 2.2243        | 2.0   | 120  | 2.1842          | 0.2857   |
| 1.7892        | 3.0   | 180  | 1.7467          | 0.5126   |
| 1.0666        | 4.0   | 240  | 1.2378          | 0.7143   |
| 0.8213        | 5.0   | 300  | 0.9638          | 0.7479   |
| 0.4477        | 6.0   | 360  | 0.9652          | 0.7731   |
| 0.2323        | 7.0   | 420  | 0.6221          | 0.8824   |
| 0.1026        | 8.0   | 480  | 0.5741          | 0.8487   |
| 0.0944        | 9.0   | 540  | 0.4625          | 0.8992   |
| 0.057         | 10.0  | 600  | 0.4659          | 0.8992   |


### Framework versions

- Transformers 4.56.0
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.22.0