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shumail/wav2vec2-base-timit-demo-colab

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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wav2vec2-base-timit-demo-colab

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: 0.8686
  • Wer: 0.6263

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: 30
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
5.050513.895003.07601.0
1.274827.7810000.86860.6263

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.11.0+cu113
  • Datasets 1.18.3
  • Tokenizers 0.10.3