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: 0.2069
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: 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 |
|---|---|---|---|
| 4.0821 | 1.0 | 1451 | 3.1704 |
| 0.8611 | 2.0 | 2902 | 0.3721 |
| 0.4726 | 3.0 | 4353 | 0.3021 |
| 0.3757 | 4.0 | 5804 | 0.2881 |
| 0.3188 | 5.0 | 7255 | 0.2580 |
| 0.2837 | 6.0 | 8706 | 0.2529 |
| 0.2625 | 7.0 | 10157 | 0.2410 |
| 0.2436 | 8.0 | 11608 | 0.2379 |
| 0.2222 | 9.0 | 13059 | 0.2246 |
| 0.2193 | 10.0 | 14510 | 0.2355 |
| 0.2077 | 11.0 | 15961 | 0.2199 |
| 0.1912 | 12.0 | 17412 | 0.2161 |
| 0.1861 | 13.0 | 18863 | 0.2128 |
| 0.1732 | 14.0 | 20314 | 0.2164 |
| 0.1626 | 15.0 | 21765 | 0.2113 |
| 0.1643 | 16.0 | 23216 | 0.2190 |
| 0.156 | 17.0 | 24667 | 0.2178 |
| 0.1549 | 18.0 | 26118 | 0.2282 |
| 0.1391 | 19.0 | 27569 | 0.2014 |
| 0.1337 | 20.0 | 29020 | 0.2117 |
| 0.1335 | 21.0 | 30471 | 0.2058 |
| 0.1289 | 22.0 | 31922 | 0.2089 |
| 0.1211 | 23.0 | 33373 | 0.2114 |
| 0.1167 | 24.0 | 34824 | 0.2093 |
| 0.1123 | 25.0 | 36275 | 0.2121 |
| 0.115 | 26.0 | 37726 | 0.2082 |
| 0.1034 | 27.0 | 39177 | 0.2109 |
| 0.1053 | 28.0 | 40628 | 0.2064 |
| 0.1003 | 29.0 | 42079 | 0.2083 |
| 0.0978 | 30.0 | 43530 | 0.2069 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1