CoolFace
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dianavdavidson/wav2vec2-xls-r-1b-mucs-62241-hinglish_mixed_scripts-1e-4-epochs-100-FT

sourceHugging Faceapache-2.0updated 26d agoView on Hugging Face
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Model Card

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wav2vec2-xls-r-1b-mucs-62241-hinglishmixedscripts-1e-4-epochs-100-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: 0.7887
  • —Global Wer: 25.3569

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
No log1.04401.186455.5519
5.82872.08800.995846.6710
1.50773.013200.892931.6334
1.16444.017600.818830.3585
1.00545.022000.781830.0207
0.87076.026400.773827.6888
0.76677.030800.737631.0341
0.67498.035200.726226.3594
0.67499.039600.773926.7081
0.592310.044000.776125.2479
0.526911.048400.769524.1364
0.462612.052800.745825.0300
0.413213.057200.761624.2781
0.343814.061600.788725.3569

Framework versions

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