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scasutt/wav2vec2-base_toy_train_data_augment_0.1.csv

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

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: 2.3933
  • Wer: 0.9997

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: 4

Training results

Training LossEpochStepValidation LossWer
3.27870.842003.59201.0
3.06131.684003.40691.0
3.04812.526003.48111.0
2.8963.368002.39330.9997

Framework versions

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