readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - common_voice_8_0
  model-index:
  - name: xls-r_cv_ur
    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. -->
  
  # xls-r_cv_ur
  
  This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice_8_0 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.8811
  - Wer: 0.5107
  
  ## 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: 0.0001
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 1000
  - num_epochs: 30
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 6.9256        | 5.68  | 1000 | 2.9843          | 1.0    |
  | 1.4949        | 11.36 | 2000 | 0.9451          | 0.6099 |
  | 0.6673        | 17.05 | 3000 | 0.8527          | 0.5463 |
  | 0.4739        | 22.73 | 4000 | 0.8677          | 0.5215 |
  | 0.399         | 28.41 | 5000 | 0.8811          | 0.5107 |
  
  
  ### Framework versions
  
  - Transformers 4.21.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  