wav2vec2-base-arabic-finetuned-continued-v1
This model is a fine-tuned version of Mohammadawad1/wav2vec2-base-arabic-finetuned-continued on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6435
- Wer: 0.5649
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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.5488 | 1.0 | 443 | 0.6614 | 0.5863 |
| 0.5313 | 2.0 | 886 | 0.6529 | 0.5717 |
| 0.5343 | 2.9944 | 1326 | 0.6435 | 0.5649 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 2.18.0
- Tokenizers 0.21.1