wav2vec2-korean-v2
This model is a fine-tuned version of teddy322/hyuk_Second_SON on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4514
- Wer: 0.1679
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: 0.0003
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 400
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0289 | 0.41 | 300 | 0.4758 | 0.1605 |
| 0.0481 | 0.82 | 600 | 0.4885 | 0.1867 |
| 0.0578 | 1.22 | 900 | 0.4700 | 0.1862 |
| 0.0599 | 1.63 | 1200 | 0.4733 | 0.1857 |
| 0.0575 | 2.04 | 1500 | 0.4504 | 0.1844 |
| 0.0547 | 2.45 | 1800 | 0.4741 | 0.1865 |
| 0.0495 | 2.86 | 2100 | 0.4473 | 0.1794 |
| 0.045 | 3.27 | 2400 | 0.4559 | 0.1782 |
| 0.0426 | 3.67 | 2700 | 0.4502 | 0.1722 |
| 0.0466 | 4.08 | 3000 | 0.4464 | 0.1697 |
| 0.0369 | 4.49 | 3300 | 0.4487 | 0.1665 |
| 0.0342 | 4.9 | 3600 | 0.4514 | 0.1679 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3