CoolFace
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dianavdavidson/wav2vec2-large-xlsr-53-mucs-61966-hinglish_mixed_scripts-15_100-1e-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-mucs-61966-hinglishmixedscripts-15_100-1e-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: 0.8695
  • —Global Wer: 29.3268

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
6.46080.229710002.596785.6098
2.24400.459420001.226053.9772
1.81970.689130001.045443.2123
1.98200.918840000.984335.8644
1.77921.148450000.963038.9712
1.52161.378160000.968833.6374
1.44251.607870000.934931.5492
1.32741.837580000.902731.0723
1.11782.067190000.877830.2343
1.46902.2968100000.903728.6415
1.11342.5265110000.879629.9750
1.22002.7562120000.869529.3268

Framework versions

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