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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: jonatasgrosman/wav2vec2-large-xlsr-53-arabic
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tags:
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- generated_from_trainer
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datasets:
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- common_voice_11_0
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model-index:
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- name: wav2vec2-large-xlsr-ar
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# wav2vec2-large-xlsr-ar
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This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-arabic](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-arabic) on the common_voice_11_0 dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.8298
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- eval_wer: 0.6859
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- eval_runtime: 192.8428
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- eval_samples_per_second: 15.515
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- eval_steps_per_second: 1.939
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- epoch: 5.1217
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- step: 4000
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0003
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 10
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.49.0
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- Pytorch 2.5.1+cu121
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- Datasets 3.3.1
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- Tokenizers 0.21.0
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model.safetensors
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