wav2vec2-large-xlsr-grosman-1b-aug-words-phoneme-exp-1-v5
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Per |
|---|
| 0.274 | 1.0 | 101 | 0.3999 | 0.0795 |
| 0.2484 | 2.0 | 203 | 0.4430 | 0.0795 |
| 0.2796 | 3.0 | 304 | 0.4451 | 0.0773 |
| 0.2327 | 4.0 | 406 | 0.3927 | 0.0829 |
| 0.2357 | 5.0 | 507 | 0.4069 | 0.0734 |
| 0.2123 | 6.0 | 609 | 0.3667 | 0.0841 |
| 0.1937 | 7.0 | 710 | 0.3784 | 0.0912 |
| 0.1901 | 8.0 | 812 | 0.4630 | 0.0982 |
| 0.1615 | 9.0 | 913 | 0.4615 | 0.0911 |
| 0.1838 | 10.0 | 1015 | 0.4021 | 0.0857 |
| 0.1604 | 11.0 | 1116 | 0.4012 | 0.0854 |
| 0.1438 | 12.0 | 1218 | 0.4439 | 0.0925 |
| 0.1371 | 13.0 | 1319 | 0.4122 | 0.0798 |
| 0.1139 | 14.0 | 1421 | 0.3868 | 0.0822 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.13.3
