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wav2vec2-large-xls-r-300m-dysarthria-big-dataset

This model is a fine-tuned version of jmaczan/wav2vec2-large-xls-r-300m-dysarthria-big-dataset on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0864
  • Wer: 0.182

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
1.419 3.2 200 0.7599 0.668
0.7759 6.4 400 0.4966 0.618
0.5808 9.6 600 0.3352 0.508
0.3652 12.8 800 0.2214 0.386
0.2347 16.0 1000 0.1566 0.246
0.1738 19.2 1200 0.1340 0.23
0.1076 22.4 1400 0.1244 0.242
0.077 25.6 1600 0.0948 0.184
0.0566 28.8 1800 0.0864 0.182

Framework versions

  • Transformers 4.43.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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