wav2vec2-turkish-300m-4
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the fleurs dataset. It achieves the following results on the evaluation set:
- Loss: 0.2826
- Wer: 0.2126
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: 4
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.5303 | 0.6983 | 500 | 0.5432 | 0.5985 |
| 0.6272 | 1.3966 | 1000 | 0.3629 | 0.4617 |
| 0.415 | 2.0950 | 1500 | 0.2861 | 0.3580 |
| 0.2507 | 2.7933 | 2000 | 0.2692 | 0.3357 |
| 0.1909 | 3.4916 | 2500 | 0.2619 | 0.3009 |
| 0.1731 | 4.1899 | 3000 | 0.2843 | 0.3085 |
| 0.1358 | 4.8883 | 3500 | 0.2678 | 0.2752 |
| 0.1002 | 5.5866 | 4000 | 0.2623 | 0.2667 |
| 0.0915 | 6.2849 | 4500 | 0.2551 | 0.2515 |
| 0.0749 | 6.9832 | 5000 | 0.2579 | 0.2423 |
| 0.0695 | 7.6816 | 5500 | 0.2680 | 0.2316 |
| 0.0499 | 8.3799 | 6000 | 0.2774 | 0.2261 |
| 0.0464 | 9.0782 | 6500 | 0.2793 | 0.2179 |
| 0.0398 | 9.7765 | 7000 | 0.2826 | 0.2126 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.2+cu121
- Datasets 2.17.1
- Tokenizers 0.19.1