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UrukHan/wav2vec2-ru

sourceHugging Faceupdated 4y agoView on Hugging Face
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Model Card

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wav2vec2-ru

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5468
  • Wer: 0.4124

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: 1e-06
  • trainbatchsize: 1
  • evalbatchsize: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • lrschedulerwarmup_steps: 1000
  • num_epochs: 1
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
0.5110.2110000.54440.4183
0.50210.4320000.57270.4112
0.47460.6430000.54950.4116
0.50520.8540000.54680.4124

Framework versions

  • Transformers 4.20.0
  • Pytorch 1.11.0+cu113
  • Datasets 2.3.2
  • Tokenizers 0.12.1