wav2vec2-xls-r-pashto
This model is a fine-tuned version of YuvrajGujari/wav2vec2-xls-r-pashto on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8616
- Wer: 0.5460
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.0991 | 0.5295 | 200 | 0.9328 | 0.5793 |
| 3.4073 | 1.0582 | 400 | 0.9254 | 0.5723 |
| 3.6247 | 1.5877 | 600 | 0.9005 | 0.5579 |
| 3.4452 | 2.1165 | 800 | 0.8830 | 0.5500 |
| 3.7701 | 2.6459 | 1000 | 0.8616 | 0.5460 |
Framework versions
- Transformers 5.14.1
- Pytorch 2.8.0+cu128
- Datasets 2.19.2
- Tokenizers 0.22.2