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  • automatic-speech-recognition
  • robust-speech-event

This model is a fine-tuned version of 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
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