wav2vec2-large-xls-r-300m-korean
This model is a fine-tuned version of teddy322/wav2vec2-large-xls-r-300m-korean on the zeroth_korean_asr dataset. It achieves the following results on the evaluation set:
- Loss: 0.4474
- Wer: 0.3320
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1683 | 1.12 | 400 | 0.4871 | 0.4144 |
| 0.2177 | 2.25 | 800 | 0.5225 | 0.4552 |
| 0.1939 | 3.37 | 1200 | 0.5300 | 0.4456 |
| 0.1432 | 4.49 | 1600 | 0.4704 | 0.3850 |
| 0.1047 | 5.62 | 2000 | 0.4951 | 0.3960 |
| 0.0864 | 6.74 | 2400 | 0.4617 | 0.3638 |
| 0.0686 | 7.87 | 2800 | 0.4477 | 0.3393 |
| 0.0538 | 8.99 | 3200 | 0.4474 | 0.3320 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3