readme: 
  tags:
  - automatic-speech-recognition
  - robust-speech-event
  
          
  ---
  
  
  
  
  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on a private dataset.
  It achieves the following results on the evaluation set:
  
  
  The following hyper-parameters were used during training:
  - learning_rate: 3e-4
  - train_batch_size: 32
  - eval_batch_size: 16
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 128
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 800
  - num_epochs: 30
  - mixed_precision_training: Native AMP
  