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duclee9x/wav2vec2-voa-example

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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Model Card

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wav2vec2-voa-example

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

  • —Loss: nan
  • —Wer: 1.0

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
  • —trainbatchsize: 32
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 1000
  • —num_epochs: 30
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
4.2964.355003.72261.0
3.0278.710003.72331.0
3.037613.0415003.72461.0
3.022117.392000nan1.0
0.021.742500nan1.0
0.026.093000nan1.0

Framework versions

  • —Transformers 4.19.2
  • —Pytorch 1.11.0+cu113
  • —Datasets 2.2.2
  • —Tokenizers 0.12.1