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---
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library_name: transformers
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base_model: Kkonjeong/wav2vec2-base-korean
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: audio_cls
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# audio_cls
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This model is a fine-tuned version of [Kkonjeong/wav2vec2-base-korean](https://huggingface.co/Kkonjeong/wav2vec2-base-korean) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4659
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- Accuracy: 0.8992
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 8
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 10
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 2.6218 | 1.0 | 60 | 2.6014 | 0.1261 |
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| 2.2243 | 2.0 | 120 | 2.1842 | 0.2857 |
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| 1.7892 | 3.0 | 180 | 1.7467 | 0.5126 |
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| 1.0666 | 4.0 | 240 | 1.2378 | 0.7143 |
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| 0.8213 | 5.0 | 300 | 0.9638 | 0.7479 |
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| 0.4477 | 6.0 | 360 | 0.9652 | 0.7731 |
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| 0.2323 | 7.0 | 420 | 0.6221 | 0.8824 |
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| 0.1026 | 8.0 | 480 | 0.5741 | 0.8487 |
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| 0.0944 | 9.0 | 540 | 0.4625 | 0.8992 |
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| 0.057 | 10.0 | 600 | 0.4659 | 0.8992 |
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### Framework versions
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- Transformers 4.56.0
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- Pytorch 2.5.1+cu121
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- Datasets 3.6.0
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- Tokenizers 0.22.0
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