readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - common_voice
  model-index:
  - name: wav2vec2-xls-r-300m-ar-10
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # wav2vec2-xls-r-300m-ar-10
  
  This model is a fine-tuned version of [MeshalAlamr/wav2vec2-xls-r-300m-ar-9](https://huggingface.co/MeshalAlamr/wav2vec2-xls-r-300m-ar-9) on the common_voice dataset.
  It achieves the following results on the evaluation set:
  - Loss: 87.0172
  - Wer: 0.2017
  
  ## 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: 64
  - eval_batch_size: 16
  - seed: 42
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 256
  - 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    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 56.409        | 4.71  | 400  | 81.8407         | 0.2151 |
  | 84.2726       | 9.41  | 800  | 82.6777         | 0.2237 |
  | 80.3604       | 14.12 | 1200 | 85.3856         | 0.2226 |
  | 70.7446       | 18.82 | 1600 | 87.9551         | 0.2180 |
  | 61.3713       | 23.53 | 2000 | 88.0419         | 0.2096 |
  | 54.5011       | 28.24 | 2400 | 87.0172         | 0.2017 |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.11.0
  - Datasets 1.18.4
  - Tokenizers 0.11.6
  