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

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

  • Loss: 0.0615
  • Wer: 0.1764

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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • 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
16.998 2.17 400 3.4205 1.0
3.6507 4.34 800 3.2819 1.0
3.2148 6.5 1200 3.0239 1.0
2.8464 8.67 1600 2.5810 1.0
2.3923 10.84 2000 2.2368 1.0
1.9358 13.01 2400 1.7072 1.0
1.5043 15.18 2800 1.3435 1.0
1.1169 17.34 3200 0.8979 0.9701
0.749 19.51 3600 0.5764 0.7490
0.4855 21.68 4000 0.2876 0.4763
0.2902 23.85 4400 0.1645 0.3379
0.198 26.02 4800 0.0988 0.2307
0.1358 28.18 5200 0.0615 0.1764

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.1
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