<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
wav2vec_arabic_mdd
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3501
- Wer: 0.0432
- Per: 0.0327
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Per |
|---|---|---|---|---|---|
| 8.1087 | 1.0 | 1637 | 3.1701 | 1.0 | 1.0 |
| 1.1869 | 2.0 | 3274 | 0.4045 | 0.0800 | 0.0646 |
| 0.2 | 3.0 | 4911 | 0.3260 | 0.0591 | 0.0464 |
| 0.1283 | 4.0 | 6548 | 0.3042 | 0.0618 | 0.0475 |
| 0.1037 | 5.0 | 8185 | 0.2727 | 0.0531 | 0.0410 |
| 0.0844 | 6.0 | 9822 | 0.3184 | 0.0543 | 0.0409 |
| 0.0738 | 7.0 | 11459 | 0.2886 | 0.0485 | 0.0366 |
| 0.0613 | 8.0 | 13096 | 0.3345 | 0.0488 | 0.0374 |
| 0.0573 | 9.0 | 14733 | 0.3469 | 0.0505 | 0.0394 |
| 0.0514 | 10.0 | 16370 | 0.3245 | 0.0510 | 0.0386 |
| 0.0469 | 11.0 | 18007 | 0.3094 | 0.0492 | 0.0374 |
| 0.0375 | 12.0 | 19644 | 0.3656 | 0.0521 | 0.0392 |
| 0.0356 | 13.0 | 21281 | 0.3296 | 0.0472 | 0.0356 |
| 0.0291 | 14.0 | 22918 | 0.3301 | 0.0448 | 0.0336 |
| 0.0242 | 15.0 | 24555 | 0.3575 | 0.0460 | 0.0357 |
| 0.0216 | 16.0 | 26192 | 0.3376 | 0.0443 | 0.0335 |
| 0.0208 | 17.0 | 27829 | 0.3688 | 0.0436 | 0.0332 |
| 0.018 | 18.0 | 29466 | 0.3673 | 0.0445 | 0.0340 |
| 0.0164 | 19.0 | 31103 | 0.3576 | 0.0432 | 0.0327 |
| 0.0128 | 20.0 | 32740 | 0.3501 | 0.0432 | 0.0327 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
