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wav2vec2-large-xls-r-300m-hi-CV7

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the COMMON_VOICE dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6588
  • Wer: 0.2987

Training hyperparameters

The following hyperparameters were used during training:

  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 2000
  • num_epochs: 60
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.16.2
  • Pytorch 1.10.0+cu111
  • Datasets 1.18.3
  • Tokenizers 0.11.0
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Evaluation results