CoolFace
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dianavdavidson/wav2vec2-large-xlsr-53-iv_hindi_vaani-62420-hinglish_mixed_scripts-alldata-1e-4-100-mix-0.1-FT

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

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wav2vec2-large-xlsr-53-ivhindivaani-62420-hinglishmixedscripts-alldata-1e-4-100-mix-0.1-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: 0.6210
  • —Global Wer: 22.2936

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
2.62841.010800.746440.3228
1.04072.021600.466030.2183
0.62853.032400.436726.8265
0.44534.043200.465424.9845
0.32495.054000.467423.4127
0.25036.064800.504424.1685
0.17317.075600.520323.3433
0.15018.086400.523522.7336
0.13519.097200.571322.4451
0.124210.0108000.598923.1699
0.106611.0118800.560522.4378
0.094412.0129600.581222.4196
0.077013.0140400.585722.4744
0.075914.0151200.577622.3393
0.070115.0162000.594721.7788
0.072216.0172800.650122.1877
0.064217.0183600.607021.7825
0.059018.0194400.621022.2936

Framework versions

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