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scasutt/wav2vec2-base_toy_train_data

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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wav2vec2-basetoytrain_data

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

  • Loss: 1.2522
  • Wer: 0.7297

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • lrschedulerwarmup_steps: 1000
  • num_epochs: 30

Training results

Training LossEpochStepValidation LossWer
3.00334.25002.77021.0
1.0558.410001.26710.8667
0.662812.615001.19520.7883
0.502316.820001.14350.7659
0.453521.0125001.18890.7458
0.360425.2130001.26500.7378
0.317529.4135001.25220.7297

Framework versions

  • Transformers 4.18.0
  • Pytorch 1.11.0+cu102
  • Datasets 2.1.0
  • Tokenizers 0.12.1