wav2vec2-large-xls-r-300m-arabic-colab
This model is a fine-tuned version of batoula187/wav2vec2-large-xls-r-300m-arabic-colab on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:
- Loss: 1.5330
- Wer: 0.6273
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
0.0457 | 1.6901 | 200 | 1.5030 | 0.6377 |
0.0408 | 3.3803 | 400 | 1.4683 | 0.6503 |
0.0693 | 5.0704 | 600 | 1.6023 | 0.6897 |
0.0766 | 6.7606 | 800 | 1.3947 | 0.6709 |
0.0653 | 8.4507 | 1000 | 1.5052 | 0.6858 |
0.0542 | 10.1408 | 1200 | 1.6550 | 0.6999 |
0.0535 | 11.8310 | 1400 | 1.4820 | 0.6591 |
0.0645 | 13.5211 | 1600 | 1.5134 | 0.6732 |
0.0583 | 15.2113 | 1800 | 1.4606 | 0.6561 |
0.0551 | 16.9014 | 2000 | 1.4476 | 0.6534 |
0.0462 | 18.5915 | 2200 | 1.5556 | 0.6557 |
0.0447 | 20.2817 | 2400 | 1.5289 | 0.6503 |
0.0395 | 21.9718 | 2600 | 1.5145 | 0.6434 |
0.0327 | 23.6620 | 2800 | 1.5916 | 0.6475 |
0.0317 | 25.3521 | 3000 | 1.5830 | 0.6526 |
0.0276 | 27.0423 | 3200 | 1.5935 | 0.6432 |
0.026 | 28.7324 | 3400 | 1.5330 | 0.6273 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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