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davidilag/wav2vec2-xls-r-1b-scandinavian-E4-100h-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-E4-100h-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: nan
  • —Wer: 100.0
  • —Cer: 100.0

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: 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
1.2670.78191000inf47.636713.5610
0.55841.56372000inf26.40597.2903
0.42112.34563000inf23.45386.4409
0.54733.12744000inf21.62336.0101
0.46313.90935000inf21.48305.9161
0.28694.69126000inf21.62866.0356
0.45725.47307000inf22.47686.2442
0.23786.25498000inf21.73726.1153
0.34797.03679000inf22.63726.2812
0.3687.818610000inf23.17006.3923
0.50238.600511000inf22.29966.2065
0.46959.382312000inf21.29415.9487
0.010.164213000nan100.0100.0

Framework versions

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