wav2vec2-xls-r-300m-S2P-korean
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: 137.7054
- Per: 2.2761
- Learning Rate: 0.0
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Per | Rate |
|---|---|---|---|---|---|
| 138.8199 | 0.4292 | 200 | 137.7054 | 2.2721 | 0.0 |
| 135.2457 | 0.8584 | 400 | 137.7049 | 2.2730 | 0.0 |
| 135.098 | 1.2876 | 600 | 137.7052 | 2.2758 | 0.0 |
| 136.7798 | 1.7167 | 800 | 137.7055 | 2.2758 | 0.0 |
| 136.6869 | 2.1459 | 1000 | 137.7053 | 2.2768 | 0.0 |
| 135.4296 | 2.5751 | 1200 | 137.7052 | 2.2723 | 0.0 |
| 137.6503 | 3.0043 | 1400 | 137.7054 | 2.2761 | 0.0 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Base model
facebook/wav2vec2-xls-r-300m