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mari-sachi/wav2vec2-large-xls-r-300m-dm32

sourceHugging Faceapache-2.0updated 6mo 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: 0.5092
  • —Accuracy: 0.7708

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

Training results

Training LossEpochStepValidation LossAccuracy
No log2.2759340.69560.4167
No log4.5517680.68520.5833
No log6.82761020.67720.5833
0.69629.06901360.67730.5833
0.696211.34481700.66770.7083
0.696213.62072040.53770.7292
0.669815.89662380.53380.7292
0.669818.13792720.50840.7708
0.669820.41383060.50920.7708

Framework versions

  • —Transformers 5.0.0
  • —Pytorch 2.10.0+cu128
  • —Datasets 4.0.0
  • —Tokenizers 0.22.2