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wav2vec2-large-medical-speed

This model is a fine-tuned version of facebook/wav2vec2-large on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4703
  • Wer: 0.1992

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: 30

Training results

Training Loss Epoch Step Validation Loss Wer
3.9919 3.97 500 3.0791 0.9895
1.6651 7.94 1000 0.5613 0.4259
0.4694 11.9 1500 0.4658 0.2835
0.2812 15.87 2000 0.5245 0.2460
0.1923 19.84 2500 0.4438 0.2300
0.1406 23.81 3000 0.5112 0.2121
0.1082 27.78 3500 0.4703 0.1992

Framework versions

  • Transformers 4.34.1
  • Pytorch 2.1.0
  • Datasets 2.14.6
  • Tokenizers 0.14.1
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