wav2vec2-xls-r-300m_phone-mfa_english
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: 0.0777
- Per: 0.0169
- 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: 16
- eval_batch_size: 16
- 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
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Per | Rate |
|---|---|---|---|---|---|
| 5.9243 | 1.0 | 892 | 2.9797 | 0.8601 | 5e-05 |
| 0.7497 | 2.0 | 1784 | 0.1314 | 0.0288 | 0.0001 |
| 0.2391 | 3.0 | 2676 | 0.0994 | 0.0229 | 0.0001 |
| 0.1839 | 4.0 | 3568 | 0.0905 | 0.0211 | 0.0001 |
| 0.1562 | 5.0 | 4460 | 0.0879 | 0.0197 | 0.0001 |
| 0.14 | 6.0 | 5352 | 0.0872 | 0.0186 | 5e-05 |
| 0.1256 | 7.0 | 6244 | 0.0827 | 0.0178 | 0.0000 |
| 0.1149 | 8.0 | 7136 | 0.0774 | 0.0173 | 0.0000 |
| 0.1083 | 9.0 | 8028 | 0.0786 | 0.0170 | 0.0000 |
| 0.1027 | 10.0 | 8920 | 0.0777 | 0.0169 | 0.0 |
Framework versions
- Transformers 4.37.1
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1