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lishantKarki/wav2vec2-large-xls-r-300m-nepali-openslr1

sourceHugging Faceapache-2.0updated 6mo agoView on Hugging Face
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Model Card

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wav2vec2-large-xls-r-300m-nepali-openslr1

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: 0.4665
  • —Wer: 0.5314

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: 8
  • —seed: 42
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 32
  • —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 500
  • —num_epochs: 10
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
8.74771.02504.23721.0
7.15902.05003.56561.0
6.84433.07503.41260.9996
3.12664.010001.08610.8784
2.32595.012500.72860.7456
2.01406.015000.59230.6495
1.84877.017500.53200.5922
1.68028.020000.49150.5717
1.57259.022500.47500.5544
1.604810.025000.46650.5314

Framework versions

  • —Transformers 5.0.0
  • —Pytorch 2.10.0+cu128
  • —Datasets 2.16.0
  • —Tokenizers 0.22.2