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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: 16.2060
- Cer: 0.9336
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: 4
- 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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 11.1605 | 1.11 | 300 | 17.8697 | 1.1350 |
| 10.9986 | 2.22 | 600 | 17.7379 | 1.0831 |
| 10.747 | 3.33 | 900 | 17.4821 | 0.9742 |
| 10.82 | 4.44 | 1200 | 17.1100 | 0.8829 |
| 9.7866 | 5.56 | 1500 | 16.7928 | 0.8976 |
| 10.3298 | 6.67 | 1800 | 16.5434 | 0.9105 |
| 10.4446 | 7.78 | 2100 | 16.3516 | 0.9222 |
| 10.0077 | 8.89 | 2400 | 16.2427 | 0.9305 |
| 9.7931 | 10.0 | 2700 | 16.2060 | 0.9336 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
