CoolFace
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susmitabhatt/xlsr-nm-nomi

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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xlsr-nm-nomi

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

  • —Loss: 0.3324
  • —Wer: 0.3245

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: 0.0004
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 16
  • —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 132
  • —num_epochs: 100
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
4.97736.06062003.05221.0
2.887512.12124002.35690.9959
1.513118.18186000.57950.6024
0.467524.24248000.40220.4523
0.247430.303010000.33960.4422
0.157336.363612000.31880.3611
0.116242.424214000.34500.3570
0.085848.484816000.31620.3469
0.067554.545518000.28320.3327
0.05860.606120000.29040.3266
0.041566.666722000.35550.3306
0.034872.727324000.31160.3327
0.023478.787926000.29440.3245
0.021584.848528000.32590.3266
0.020890.909130000.33120.3185
0.016896.969732000.33240.3245

Framework versions

  • —Transformers 4.47.0.dev0
  • —Pytorch 2.4.0
  • —Datasets 3.0.1
  • —Tokenizers 0.20.0