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davidilag/wav2vec2-xls-r-1b-scandinavian-E5-100h-30-epochs-20250124

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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wav2vec2-xls-r-1b-scandinavian-E5-100h-30-epochs-20250124

This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.2093
  • —Wer: 31.5873
  • —Cer: 16.9806

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: 16
  • —evalbatchsize: 8
  • —seed: 42
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 32
  • —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_steps: 6000
  • —num_epochs: 30
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWerCer
1.36942.632410001.176167.314726.5833
0.88255.263520000.814238.098717.7731
0.7717.895930000.767136.336117.4212
0.671510.527040000.835633.932517.2121
0.625813.158150000.791735.693917.7429
0.575315.790560000.869135.433017.9205
0.499918.421670000.861434.556017.5324
0.443221.052780000.907433.609517.4453
0.347923.685190001.025833.636817.7273
0.320226.3162100001.145731.808417.0006
0.297428.9486110001.209331.587316.9806

Framework versions

  • —Transformers 4.48.1
  • —Pytorch 2.5.1+cu124
  • —Datasets 3.2.0
  • —Tokenizers 0.21.0