| | --- |
| | library_name: transformers |
| | base_model: Kkonjeong/wav2vec2-base-korean |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: audio_cls_hhd |
| | 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_hhd |
| |
|
| | 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: 1.2104 |
| | - Accuracy: 0.7815 |
| |
|
| | ## 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 | 2.6819 | 0.0672 | |
| | | No log | 2.0 | 30 | 2.5993 | 0.1176 | |
| | | No log | 3.0 | 45 | 2.4111 | 0.2437 | |
| | | No log | 4.0 | 60 | 2.0985 | 0.4118 | |
| | | No log | 5.0 | 75 | 1.9055 | 0.4454 | |
| | | No log | 6.0 | 90 | 1.5897 | 0.6471 | |
| | | No log | 7.0 | 105 | 1.4360 | 0.7227 | |
| | | No log | 8.0 | 120 | 1.3305 | 0.7731 | |
| | | No log | 9.0 | 135 | 1.2511 | 0.7731 | |
| | | No log | 10.0 | 150 | 1.2104 | 0.7815 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.57.3 |
| | - Pytorch 2.9.0+cu126 |
| | - Datasets 4.0.0 |
| | - Tokenizers 0.22.1 |
| |
|
