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dianavdavidson/wav2vec2-xls-r-300m-iv_hindi_only-62232-normalized-5e-6-epochs-100-FT

sourceHugging Faceapache-2.0updated 27d agoView on Hugging Face
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Model Card

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wav2vec2-xls-r-300m-ivhindionly-62232-normalized-5e-6-epochs-100-FT

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 3.5582
  • —Global Wer: 100.0

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: 5e-06
  • —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
26.36051.05406.5157100.0
11.35022.010804.7266100.0
8.75543.016203.8646100.0
7.54694.021603.5582100.0

Framework versions

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