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This model is a fine-tuned version of facebook/wav2vec2-xls-r-2b on the OPENSLR_SLR66 - NA dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4253
  • Wer: 0.5109

Evaluation metrics

Metric Split Decode with LM Value
WER Train No
CER Train No
WER Test No
CER Test No
WER Train Yes
CER Train Yes
WER Test Yes
CER Test Yes

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: 2e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 12
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • learning_rate: 3e-6
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 2000
  • num_epochs: 150.0
  • hidden_dropout: 0.15
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.16.0.dev0
  • Pytorch 1.10.1+cu102
  • Datasets 1.17.1.dev0
  • Tokenizers 0.11.0
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Evaluation results