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yoyodyne1962/wav2vec2-large-xls-r-300m-dm32

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
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Model Card

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wav2vec2-large-xls-r-300m-dm32

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: 0.4916
  • —Accuracy: 0.7917

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: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 32
  • —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 22
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracy
No log2.2759340.67820.5833
No log4.5517680.70190.4167
No log6.82761020.68080.5833
0.6759.06901360.67650.625
0.67511.34481700.61480.6667
0.67513.62072040.50920.7708
0.633315.89662380.60210.6875
0.633318.13792720.46910.7708
0.633320.41383060.49160.7917

Framework versions

  • —Transformers 4.51.3
  • —Pytorch 2.6.0+cu124
  • —Datasets 3.5.1
  • —Tokenizers 0.21.1