This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - PA-IN dataset. It achieves the following results on the evaluation set:
- Loss: 1.1508
- Wer: 0.4908
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1500
- num_epochs: 100.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.5841 | 9.26 | 500 | 3.2514 | 0.9941 |
| 0.3992 | 18.52 | 1000 | 0.8790 | 0.6107 |
| 0.2409 | 27.78 | 1500 | 1.0012 | 0.6366 |
| 0.1447 | 37.04 | 2000 | 1.0167 | 0.6276 |
| 0.1109 | 46.3 | 2500 | 1.0638 | 0.5653 |
| 0.0797 | 55.56 | 3000 | 1.1447 | 0.5715 |
| 0.0636 | 64.81 | 3500 | 1.1503 | 0.5316 |
| 0.0466 | 74.07 | 4000 | 1.2227 | 0.5386 |
| 0.0372 | 83.33 | 4500 | 1.1214 | 0.5225 |
| 0.0239 | 92.59 | 5000 | 1.1375 | 0.4998 |
Framework versions
- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2.dev0
- Tokenizers 0.11.0