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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_kor |
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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_kor |
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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: 0.3679 |
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- Accuracy: 0.9496 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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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| 2.6342 | 1.0 | 30 | 2.6301 | 0.0588 | |
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| 2.4757 | 2.0 | 60 | 2.3899 | 0.3109 | |
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| 1.9266 | 3.0 | 90 | 1.8527 | 0.6134 | |
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| 1.5614 | 4.0 | 120 | 1.4405 | 0.7227 | |
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| 0.9955 | 5.0 | 150 | 1.0447 | 0.8655 | |
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| 0.6666 | 6.0 | 180 | 0.7428 | 0.9076 | |
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| 0.4623 | 7.0 | 210 | 0.5859 | 0.9160 | |
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| 0.334 | 8.0 | 240 | 0.4750 | 0.9244 | |
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| 0.2673 | 9.0 | 270 | 0.3788 | 0.9496 | |
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| 0.196 | 10.0 | 300 | 0.3679 | 0.9496 | |
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### Framework versions |
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- Transformers 4.56.1 |
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- Pytorch 2.8.0+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.22.0 |
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