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Ragav/wav2vec2-tk

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

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wav2vec2-tk

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6088
  • Wer: 0.6687

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
  • 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
2.07020.2910001.41700.9376
1.19140.5820001.00820.8331
0.82490.8630000.60880.6687

Framework versions

  • Transformers 4.26.1
  • Pytorch 1.10.0+cu113
  • Datasets 1.18.3
  • Tokenizers 0.13.2