wav2vec-xlsr-53-turkish-v3
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 0.2599
- Cer: 0.0658
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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: 750
- num_epochs: 12
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 3.038 | 1.3123 | 1000 | inf | 1.0 | 1.0 |
| 0.7162 | 2.6247 | 2000 | inf | 0.4285 | 0.1028 |
| 0.5657 | 3.9370 | 3000 | inf | 0.3114 | 0.0762 |
| 0.5062 | 5.2493 | 4000 | inf | 0.2852 | 0.0699 |
| 0.5259 | 6.5617 | 5000 | inf | 0.2752 | 0.0688 |
| 0.4808 | 7.8740 | 6000 | inf | 0.2638 | 0.0664 |
| 0.4881 | 9.1864 | 7000 | inf | 0.2616 | 0.0664 |
| 0.5237 | 10.4987 | 8000 | inf | 0.2639 | 0.0666 |
| 0.5179 | 11.8110 | 9000 | inf | 0.2599 | 0.0658 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.22.0