wav2vec2-base-arabic-finetuned
This model is a fine-tuned version of facebook/wav2vec2-base on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.8935
- Wer: 0.7382
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.9336 | 1.0 | 443 | 2.9475 | 1.0 |
| 2.1805 | 2.0 | 886 | 2.0308 | 0.9890 |
| 1.405 | 3.0 | 1329 | 1.3101 | 0.8862 |
| 1.0925 | 4.0 | 1772 | 1.0512 | 0.7904 |
| 0.9305 | 4.9898 | 2210 | 0.8935 | 0.7382 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 2.18.0
- Tokenizers 0.21.1