| --- |
| library_name: transformers |
| base_model: Kkonjeong/wav2vec2-base-korean |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: audio_cls_lee |
| 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_lee |
|
|
| 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: 2.6544 |
| - Accuracy: 0.0672 |
|
|
| ## 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: 4 |
| - total_train_batch_size: 32 |
| - 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 |
| - num_epochs: 10 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 15 | 2.6360 | 0.1008 | |
| | No log | 2.0 | 30 | 2.6627 | 0.0420 | |
| | No log | 3.0 | 45 | 2.6669 | 0.0420 | |
| | No log | 4.0 | 60 | 2.6530 | 0.0840 | |
| | No log | 5.0 | 75 | 2.6359 | 0.0924 | |
| | No log | 6.0 | 90 | 2.6668 | 0.0504 | |
| | No log | 7.0 | 105 | 2.6469 | 0.0588 | |
| | No log | 8.0 | 120 | 2.6671 | 0.0504 | |
| | No log | 9.0 | 135 | 2.6696 | 0.0504 | |
| | No log | 10.0 | 150 | 2.6544 | 0.0672 | |
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|
| ### Framework versions |
|
|
| - Transformers 5.0.0 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
|
|
