wav2vec2-xls-r-300m-ar
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the ARABIC_SPEECH_CORPUS - NA dataset. It achieves the following results on the evaluation set:
- Loss: 0.3212
- Wer: 0.0636
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: 500
- training_steps: 10000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0793 | 8.85 | 1000 | 0.1626 | 0.0786 |
| 0.0396 | 17.7 | 2000 | 0.2199 | 0.0807 |
| 0.0285 | 26.55 | 3000 | 0.2289 | 0.0694 |
| 0.021 | 35.4 | 4000 | 0.2662 | 0.0722 |
| 0.0177 | 44.25 | 5000 | 0.2459 | 0.0744 |
| 0.0155 | 53.1 | 6000 | 0.2689 | 0.0679 |
| 0.0149 | 61.95 | 7000 | 0.2760 | 0.0717 |
| 0.0074 | 70.8 | 8000 | 0.3004 | 0.0680 |
| 0.0058 | 79.65 | 9000 | 0.3113 | 0.0650 |
| 0.0033 | 88.5 | 10000 | 0.3212 | 0.0636 |
Framework versions
- Transformers 4.28.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.11.1.dev0
- Tokenizers 0.13.2
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