CoolFace
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dianavdavidson/wav2vec2-large-xlsr-53-indic_voices-61983-normalized-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-61983-normalized-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: 0.6266
  • —Global Wer: 40.9022

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
4.05510.578910001.493281.3472
2.28461.157520000.880357.7037
2.10051.736330000.772052.4675
1.76942.314940000.718848.9098
1.69052.893850000.703147.2425
1.44723.472460000.642443.8688
1.42504.050970000.659444.4321
1.38924.629880000.637143.2555
1.18205.208490000.646442.8595
1.29765.7873100000.619042.1736
1.15306.3658110000.638342.6253
1.17366.9447120000.626640.9022

Framework versions

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