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dianavdavidson/wav2vec2-large-xlsr-53-indic_voices-61981-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-indicvoices-61981-hinglishmixedscripts-15100-1e-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: 0.6940
  • —Global Wer: 42.7617

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
5.37160.180110001.999985.0939
2.73390.360220001.117061.4944
2.38800.540230000.953653.4972
2.21320.720340000.860750.3109
2.04040.900450000.814448.0711
1.80981.080560000.768046.7980
1.75921.260670000.746145.1598
1.71541.440780000.724544.1921
1.66111.620790000.716643.6200
1.67251.8008100000.710143.6880
1.63601.9809110000.707542.4646
1.48122.1610120000.694042.7617

Framework versions

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