metadata
library_name: transformers
base_model: Kkonjeong/wav2vec2-base-korean
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: audio_cls
results: []
audio_cls
This model is a fine-tuned version of Kkonjeong/wav2vec2-base-korean on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5569
- Accuracy: 0.8739
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: 2
- total_train_batch_size: 16
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.648 | 1.0 | 30 | 2.6261 | 0.0840 |
| 2.2603 | 2.0 | 60 | 2.1914 | 0.3445 |
| 1.7058 | 3.0 | 90 | 1.7359 | 0.5546 |
| 1.1198 | 4.0 | 120 | 1.4270 | 0.6975 |
| 0.7934 | 5.0 | 150 | 1.0311 | 0.8235 |
| 0.5206 | 6.0 | 180 | 0.8652 | 0.8403 |
| 0.3002 | 7.0 | 210 | 0.6461 | 0.8908 |
| 0.2023 | 8.0 | 240 | 0.5995 | 0.8739 |
| 0.1428 | 9.0 | 270 | 0.5696 | 0.8739 |
| 0.1464 | 10.0 | 300 | 0.5569 | 0.8739 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0