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dianavdavidson/wav2vec2-large-xlsr-53-iv_hindi_vaani-62094-hinglish_mixed_scripts-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-ivhindivaani-62094-hinglishmixedscripts-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: 0.6005
  • —Global Wer: 30.4812

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
13.46331.05403.2369100.0
3.85622.010800.852550.7031
1.69893.016200.656642.1365
1.32544.021600.599836.7372
1.12035.027000.579838.3379
0.99126.032400.547934.6280
0.89427.037800.554833.9590
0.80568.043200.546332.3515
0.73289.048600.553131.9113
0.692410.054000.551131.5017
0.631511.059400.565031.2082
0.591112.064800.573931.0239
0.514813.070200.571130.4437
0.479214.075600.591430.2833
0.451015.081000.598130.4471
0.449516.086400.615430.4061
0.423917.091800.600530.4812

Framework versions

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