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wav2vec2-large-xls-r-300m-korean-g
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9497
- Cer: 0.1674
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.0791 | 3.25 | 500 | 0.9497 | 0.1674 |
| 0.0763 | 6.49 | 1000 | 0.9497 | 0.1674 |
| 0.0778 | 9.74 | 1500 | 0.9497 | 0.1674 |
| 0.0782 | 12.99 | 2000 | 0.9497 | 0.1674 |
| 0.0795 | 16.23 | 2500 | 0.9497 | 0.1674 |
| 0.0757 | 19.48 | 3000 | 0.9497 | 0.1674 |
| 0.0782 | 22.73 | 3500 | 0.9497 | 0.1674 |
| 0.0785 | 25.97 | 4000 | 0.9497 | 0.1674 |
| 0.0797 | 29.22 | 4500 | 0.9497 | 0.1674 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 1.18.3
- Tokenizers 0.13.3
