readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - cvbn
  model-index:
  - name: wav2vec2_murad_with_some_new_data
    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_murad_with_some_new_data
  
  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the cvbn dataset.
  It achieves the following results on the evaluation set:
  - eval_loss: 0.2971
  - eval_wer: 0.2084
  - eval_runtime: 511.5492
  - eval_samples_per_second: 9.774
  - eval_steps_per_second: 0.612
  - epoch: 26.88
  - step: 33600
  
  ## 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: 7.5e-05
  - train_batch_size: 16
  - eval_batch_size: 16
  - 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
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.11.0+cu102
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  