CoolFace
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chaitanya97/german_pretrained

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

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german_pretrained

This model is a fine-tuned version of flozi00/wav2vec-xlsr-german on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 3.9812
  • Wer: 1.0

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: 0.0003
  • trainbatchsize: 16
  • evalbatchsize: 8
  • seed: 42
  • gradientaccumulationsteps: 2
  • totaltrainbatch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • lrschedulerwarmup_steps: 5
  • num_epochs: 30

Training results

Training LossEpochStepValidation LossWer
12.52295.0512.95201.0
4.378210.0105.56891.0
2.5615.0154.84101.0
2.289520.0204.03801.0
1.87225.0253.95581.0
1.699230.0303.98121.0

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.10.0+cu102
  • Datasets 1.13.3
  • Tokenizers 0.10.3