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dianavdavidson/wav2vec2-xls-r-1b-iv_hindi_vaani-62414-hinglish_mixed_scripts-alldata-1e-4-epochs-100-mix-0.5-FT

sourceHugging Faceapache-2.0updated 24d agoView on Hugging Face
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Model Card

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wav2vec2-xls-r-1b-ivhindivaani-62414-hinglishmixedscripts-alldata-1e-4-epochs-100-mix-0.5-FT

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: 0.8588
  • —Global Wer: 34.9752

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: 16
  • —seed: 42
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 32
  • —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: constantwithwarmup
  • —lrschedulerwarmup_steps: 500
  • —num_epochs: 100
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossGlobal Wer
2.08761.010800.873751.5890
1.50122.021600.730943.7930
1.20463.032400.685139.4289
0.98154.043200.713037.6894
0.84595.054000.702336.7049
0.75176.064800.732135.5040
0.60447.075600.754536.2460
0.54858.086400.738635.6586
0.49339.097200.775935.4780
0.440310.0108000.773234.5716
0.393111.0118800.782434.7311
0.363612.0129600.821635.2909
0.323613.0140400.795934.0379
0.301114.0151200.811834.7929
0.276715.0162000.820934.6969
0.263016.0172800.858834.9752

Framework versions

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