readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-xls-r-300m-bangla-command-generated-data-finetune
    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-bangla-command-generated-data-finetune
  
  This model is a fine-tuned version of [hrdipto/wav2vec2-xls-r-300m-bangla-command-data](https://huggingface.co/hrdipto/wav2vec2-xls-r-300m-bangla-command-data) on the None dataset.
  It achieves the following results on the evaluation set:
  - eval_loss: 0.0099
  - eval_wer: 0.0208
  - eval_runtime: 2.5526
  - eval_samples_per_second: 75.217
  - eval_steps_per_second: 9.402
  - epoch: 71.43
  - step: 2000
  
  ## 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: 32
  - 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: 100
  - mixed_precision_training: Native AMP
  
  ### Framework versions
  
  - Transformers 4.16.2
  - Pytorch 1.10.0+cu111
  - Datasets 1.18.3
  - Tokenizers 0.11.0
  