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scasutt/wav2vec2-base_toy_train_data_augment_0.1

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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wav2vec2-basetoytraindataaugment_0.1

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: 3.3786
  • Wer: 0.9954

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: 20

Training results

Training LossEpochStepValidation LossWer
3.13421.052503.39010.9954
3.08782.15003.48860.9954
3.07553.157503.46160.9954
3.08914.210003.53160.9954
3.07245.2512503.26080.9954
3.04436.315003.38810.9954
3.04217.3517503.45070.9954
3.04488.420003.45250.9954
3.04559.4522503.33420.9954
3.042510.525003.33850.9954
3.045711.5527503.44110.9954
3.037512.630003.44590.9954
3.045913.6532503.38830.9954
3.045514.735003.34170.9954
3.052415.7537503.39080.9954
3.044316.8140003.39320.9954
3.044617.8642503.40520.9954
3.041218.9145003.37760.9954
3.035819.9647503.37860.9954

Framework versions

  • Transformers 4.17.0
  • Pytorch 1.11.0+cu102
  • Datasets 2.0.0
  • Tokenizers 0.11.6