Wav2Vec2-XLS-TR
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the Common Voice 17 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4817
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 8.5104 | 1.0 | 1451 | 5.2696 |
| 3.7233 | 2.0 | 2902 | 3.2482 |
| 2.6473 | 3.0 | 4353 | 1.6343 |
| 1.0373 | 4.0 | 5804 | 0.8273 |
| 0.6737 | 5.0 | 7255 | 0.6109 |
| 0.5356 | 6.0 | 8706 | 0.5244 |
| 0.4556 | 7.0 | 10157 | 0.4773 |
| 0.4099 | 8.0 | 11608 | 0.4491 |
| 0.3648 | 9.0 | 13059 | 0.4378 |
| 0.3426 | 10.0 | 14510 | 0.4343 |
| 0.3226 | 11.0 | 15961 | 0.4279 |
| 0.3033 | 12.0 | 17412 | 0.4336 |
| 0.2861 | 13.0 | 18863 | 0.4195 |
| 0.2683 | 14.0 | 20314 | 0.4282 |
| 0.2514 | 15.0 | 21765 | 0.4204 |
| 0.2439 | 16.0 | 23216 | 0.4388 |
| 0.2368 | 17.0 | 24667 | 0.4325 |
| 0.2263 | 18.0 | 26118 | 0.4402 |
| 0.2162 | 19.0 | 27569 | 0.4470 |
| 0.2092 | 20.0 | 29020 | 0.4427 |
| 0.207 | 21.0 | 30471 | 0.4590 |
| 0.2014 | 22.0 | 31922 | 0.4605 |
| 0.1954 | 23.0 | 33373 | 0.4682 |
| 0.1895 | 24.0 | 34824 | 0.4683 |
| 0.1858 | 25.0 | 36275 | 0.4657 |
| 0.1792 | 26.0 | 37726 | 0.4692 |
| 0.1782 | 27.0 | 39177 | 0.4728 |
| 0.1793 | 28.0 | 40628 | 0.4783 |
| 0.1743 | 29.0 | 42079 | 0.4782 |
| 0.1732 | 30.0 | 43530 | 0.4817 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1