wav2vec2-large-xlsr-ar
This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-arabic on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.8298
- eval_wer: 0.6859
- eval_runtime: 192.8428
- eval_samples_per_second: 15.515
- eval_steps_per_second: 1.939
- epoch: 5.1217
- step: 4000
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.49.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0
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Model tree for Mohamed2210/mohamed_wav2vec2-large-xlsr-ar
Base model
jonatasgrosman/wav2vec2-large-xlsr-53-arabic