CoolFace
Modelpublic

Gummybear05/wav2vec2-E50

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
0likes5downloads
Model Card

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

wav2vec2-E50

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: 4.4959
  • Cer: 89.8179

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: 8
  • evalbatchsize: 8
  • seed: 42
  • optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • lrschedulertype: linear
  • lrschedulerwarmup_steps: 50
  • num_epochs: 3
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossCer
28.47750.25812005.5054100.0
4.65830.51614005.008591.3690
4.44040.77426005.244292.5264
4.34141.03238004.933090.7109
4.30641.290310004.860190.7814
4.23311.548412004.913692.1034
4.22581.806514005.035090.3702
4.17312.064516005.075490.3995
4.15862.322618004.740589.2773
4.13862.580620004.687590.8578
4.12942.838722004.495989.8179

Framework versions

  • Transformers 4.47.0
  • Pytorch 2.5.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.21.0