librispeech-100h-supervised-aug

This model is a fine-tuned version of Kuray107/librispeech-5h-supervised on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0776
  • Wer: 0.0327

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: 0.0001
  • train_batch_size: 32
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1000
  • num_epochs: 20
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.3099 1.12 1000 0.0748 0.0521
0.1873 2.24 2000 0.0674 0.0440
0.146 3.36 3000 0.0671 0.0406
0.1233 4.48 4000 0.0619 0.0381
0.1098 5.61 5000 0.0618 0.0381
0.0985 6.73 6000 0.0590 0.0355
0.0907 7.85 7000 0.0659 0.0352
0.0837 8.97 8000 0.0679 0.0359
0.0762 10.09 9000 0.0701 0.0349
0.0707 11.21 10000 0.0715 0.0348
0.0666 12.33 11000 0.0719 0.0346
0.0631 13.45 12000 0.0746 0.0347
0.0593 14.57 13000 0.0757 0.0340
0.0554 15.7 14000 0.0746 0.0337
0.053 16.82 15000 0.0757 0.0331
0.0525 17.94 16000 0.0752 0.0327
0.0514 19.06 17000 0.0776 0.0327

Framework versions

  • Transformers 4.16.2
  • Pytorch 1.10.2
  • Datasets 1.18.2
  • Tokenizers 0.10.3
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