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wav2vec2-xlsr-korean-aihub-900
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2659
- Wer: 0.1089
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 700
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | PER |
|---|---|---|---|---|
| 7.0213 | 3.51 | 200 | 2.5580 | 0.9872 |
| 2.4456 | 7.02 | 400 | 2.4060 | 0.9872 |
| 2.2322 | 10.53 | 600 | 2.0604 | 0.9872 |
| 1.9241 | 14.04 | 800 | 1.1675 | 0.5440 |
| 0.8402 | 17.54 | 1000 | 0.4376 | 0.2035 |
| 0.4796 | 21.05 | 1200 | 0.3261 | 0.1540 |
| 0.339 | 24.56 | 1400 | 0.2918 | 0.1375 |
| 0.2688 | 28.07 | 1600 | 0.2872 | 0.1310 |
| 0.2338 | 31.58 | 1800 | 0.2732 | 0.1218 |
| 0.212 | 35.09 | 2000 | 0.2654 | 0.1166 |
| 0.1939 | 38.6 | 2200 | 0.2658 | 0.1087 |
| 0.1738 | 42.11 | 2400 | 0.2692 | 0.1094 |
| 0.1601 | 45.61 | 2600 | 0.2666 | 0.1107 |
| 0.1587 | 49.12 | 2800 | 0.2659 | 0.1089 |
Framework versions
- Transformers 4.21.3
- Pytorch 1.12.1
- Datasets 2.4.0
- Tokenizers 0.12.1
