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This model is a fine-tuned version of thisisHJLee/wav2vec2-large-xls-r-300m-korean-g on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0469
- Cer: 0.1656
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 400
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.2455 | 1.62 | 500 | 1.0127 | 0.2441 |
| 0.3772 | 3.25 | 1000 | 1.0766 | 0.2435 |
| 0.3073 | 4.87 | 1500 | 0.9578 | 0.2234 |
| 0.2446 | 6.49 | 2000 | 0.9579 | 0.2175 |
| 0.2069 | 8.12 | 2500 | 1.1064 | 0.2111 |
| 0.1769 | 9.74 | 3000 | 1.1212 | 0.2124 |
| 0.1561 | 11.36 | 3500 | 1.1560 | 0.2137 |
| 0.1368 | 12.99 | 4000 | 1.1001 | 0.2097 |
| 0.1226 | 14.61 | 4500 | 0.9872 | 0.1920 |
| 0.1069 | 16.23 | 5000 | 0.9882 | 0.1909 |
| 0.098 | 17.86 | 5500 | 1.0663 | 0.1899 |
| 0.0846 | 19.48 | 6000 | 1.0553 | 0.1896 |
| 0.0754 | 21.1 | 6500 | 1.0569 | 0.1847 |
| 0.0657 | 22.73 | 7000 | 1.0256 | 0.1741 |
| 0.0606 | 24.35 | 7500 | 1.0654 | 0.1745 |
| 0.0501 | 25.97 | 8000 | 1.0614 | 0.1779 |
| 0.0438 | 27.6 | 8500 | 1.0316 | 0.1690 |
| 0.039 | 29.22 | 9000 | 1.0469 | 0.1656 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3
