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dianavdavidson/wav2vec2-large-xlsr-53-indic_voices-61980-hinglish_mixed_scripts-30_70-1e-4-steps-12000-FT

sourceHugging Faceapache-2.0updated 1mo agoView on Hugging Face
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Model Card

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wav2vec2-large-xlsr-53-indicvoices-61980-hinglishmixedscripts-3070-1e-4-steps-12000-FT

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.7879
  • —Global Wer: 51.0294

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: 4
  • —evalbatchsize: 4
  • —seed: 42
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 8
  • —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: constantwithwarmup
  • —lrschedulerwarmup_steps: 500
  • —training_steps: 12000
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossGlobal Wer
5.96370.578910002.452295.3318
3.09951.157520001.263970.7805
2.67081.736330001.046463.7839
2.20112.314940000.926859.7924
2.10462.893850000.919558.1694
1.72383.472460000.855755.6747
1.72914.050970000.826153.6904
1.63224.629880000.838653.4725
1.38945.208490000.826052.5836
1.49585.7873100000.814052.0330
1.31016.3658110000.812951.5685
1.35666.9447120000.787951.0294

Framework versions

  • —Transformers 5.13.0
  • —Pytorch 2.6.0+cu124
  • —Datasets 3.6.0
  • —Tokenizers 0.22.2