Mohamed2210/mohamed_wav2vec2-large-xlsr-ar

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