CoolFace
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mouseyy/result_data_2-2

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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resultdata2-2

This model is a fine-tuned version of mouseyy/result_data-1 on the commonvoice17_0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2338
  • Wer: 0.3479
  • Cer: 0.1661

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: 1.3065956368514577e-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: 184
  • num_epochs: 5.0
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWerCer
0.16950.909910000.24570.37250.1714
0.15021.819820000.23440.36400.1704
0.12872.729830000.23210.36170.1691
0.12483.639740000.23870.35610.1665
0.11274.549650000.23710.34930.1667

Framework versions

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