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dianavdavidson/wav2vec2-large-xlsr-53-vaani-62079-normalized-alldata-1e-4-epochs-100-FT

sourceHugging Faceapache-2.0updated 29d agoView on Hugging Face
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Model Card

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wav2vec2-large-xlsr-53-vaani-62079-normalized-alldata-1e-4-epochs-100-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: 0.3380
  • —Global Wer: 14.0757

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
7.61471.05401.529896.0796
1.36252.010800.521947.7986
0.80263.016200.341826.7039
0.57124.021600.302124.0463
0.44805.027000.279720.3370
0.36646.032400.272718.4296
0.30507.037800.280518.5087
0.26618.043200.295117.0009
0.22509.048600.298118.0451
0.204210.054000.298315.3687
0.180711.059400.312816.4581
0.163412.064800.303414.6223
0.140313.070200.321015.1726
0.131214.075600.325814.0154
0.121715.081000.332814.1699
0.114516.086400.337314.2453
0.107317.091800.338014.0757

Framework versions

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