CoolFace
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lejonck/xlsr53-ptbr-mupe-final2

sourceHugging Faceupdated 1y agoView on Hugging Face
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xlsr53-ptbr-mupe-final2

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.6446
  • —Wer: 0.5318
  • —Cer: 0.2984

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: 1e-05
  • —trainbatchsize: 2
  • —evalbatchsize: 2
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 100
  • —num_epochs: 12

Training results

Training LossEpochStepValidation LossWerCer
1.32391.015001.45190.59260.3194
1.25792.030001.50370.58300.3204
1.05813.045001.55010.57540.3114
0.78614.060001.55350.56620.3092
0.74675.075001.54580.55180.3066
1.37736.090001.63300.55340.3023
0.83797.0105001.63140.54780.2960
1.05318.0120001.61870.55020.3027
0.88919.0135001.62270.53860.3004
0.772110.0150001.63310.53460.3001
0.856111.0165001.63550.53180.2988
0.388212.0180001.64460.53060.2982

Framework versions

  • —Transformers 4.55.0
  • —Pytorch 2.7.0+cu126
  • —Datasets 4.0.0
  • —Tokenizers 0.21.4