CoolFace
Modelpublic

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

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
0likes4downloads
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-large-xls-r-300m-dm32

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.5472
  • —Accuracy: 0.7292

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.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 log2.2759340.70120.5833
No log4.5517680.67740.5833
No log6.82761020.67890.5833
0.67679.06901360.63600.7083
0.676711.34481700.68650.5417
0.676713.62072041.08230.4375
0.654315.89662380.58490.6667
0.654318.13792720.42590.8333
0.654320.41383060.54720.7292

Framework versions

  • —Transformers 4.52.4
  • —Pytorch 2.6.0+cu124
  • —Datasets 2.14.4
  • —Tokenizers 0.21.2