CoolFace
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mouseyy/result_data-4

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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result_data-4

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the commonvoice17_0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2488
  • Wer: 0.3940
  • Cer: 0.1776

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: 4.355619094803853e-05
  • trainbatchsize: 16
  • evalbatchsize: 16
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 2
  • totaltrainbatch_size: 32
  • totalevalbatch_size: 32
  • optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • lrschedulertype: linear
  • lrschedulerwarmup_steps: 102
  • num_epochs: 7.0
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWerCer
0.95560.909910000.75140.76590.2976
0.49411.819820000.39870.54710.2174
0.36942.729830000.32820.48740.2005
0.31993.639740000.28460.45060.1901
0.28054.549650000.27160.42540.1855
0.25725.459560000.26220.40840.1810
0.23896.369470000.24830.40020.1791

Framework versions

  • Transformers 4.49.0
  • Pytorch 2.6.0+cu124
  • Datasets 3.3.2
  • Tokenizers 0.21.0