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wav2vec2-large-xls-r-300m-ur

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

  • Loss: 2.0508
  • Wer: 0.7328

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: 7.5e-05
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.12
  • num_epochs: 240

Training results

Training Loss Epoch Step Validation Loss Wer
0.0719 66.67 400 1.8510 0.7432
0.0284 133.33 800 2.0088 0.7415
0.014 200.0 1200 2.0508 0.7328

Framework versions

  • Transformers 4.15.0
  • Pytorch 1.10.0+cu111
  • Datasets 1.17.0
  • Tokenizers 0.10.3
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Dataset used to train anuragshas/wav2vec2-large-xls-r-300m-ur