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wav2vec2-large-xls-r-300m-tr

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: 0.4074
  • Wer: 0.4227

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: 0.0003
  • 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: 500
  • num_epochs: 30
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
3.9399 4.21 400 0.7252 0.7387
0.4147 8.42 800 0.4693 0.5201
0.1855 12.63 1200 0.4584 0.4848
0.1256 16.84 1600 0.4464 0.4708
0.0948 21.05 2000 0.4261 0.4389
0.0714 25.26 2400 0.4331 0.4349
0.0532 29.47 2800 0.4074 0.4227

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.10.0+cu111
  • Datasets 1.18.3
  • Tokenizers 0.10.3
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Dataset used to train mvip/wav2vec2-large-xls-r-300m-tr