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Kuray107/librispeech-5h-supervised

sourceHugging Faceapache-2.0updated 5y agoView on Hugging Face
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Model Card

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librispeech-5h-supervised

This model is a fine-tuned version of facebook/wav2vec2-large-lv60 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2041
  • Wer: 0.0624

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: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • lrschedulerwarmup_steps: 1000
  • num_epochs: 100
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
3.775811.1110000.31200.2337
0.123822.2220000.16510.0826
0.038333.3330000.16670.0712
0.02344.4440000.18930.0685
0.016655.5650000.20080.0666
0.013166.6760000.19420.0639
0.010677.7870000.19790.0628
0.009188.8980000.20270.0628
0.008100.090000.20410.0624

Framework versions

  • Transformers 4.14.1
  • Pytorch 1.10.2
  • Datasets 1.18.2
  • Tokenizers 0.10.3