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lejonck/xlsr53-ptbr-mupe-final1

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
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xlsr53-ptbr-mupe-final1

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53-portuguese on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.4832
  • —Wer: 0.5878
  • —Cer: 0.3261

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
1.64381.010001.59400.66240.3650
1.43112.020001.51490.63790.3488
1.293.030001.47330.61170.3317
1.19684.040001.45220.61630.3330
0.80055.050001.45040.59650.3297
0.54896.060001.48320.58780.3260
0.83537.070001.46580.59360.3248
1.72518.080001.49220.59010.3261
1.06799.090001.48670.59130.3238

Framework versions

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