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Roxysun/cs2no_wav2vec2-large-xls-r-300m-czech-colab

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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cs2no_wav2vec2-large-xls-r-300m-czech-colab

This model is a fine-tuned version of facebook/wav2vec2-lv-60-espeak-cv-ft on the nb_samtale dataset. It achieves the following results on the evaluation set:

  • —Loss: 396.8153
  • —Wer: 0.8457

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: 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: 500
  • —num_epochs: 50
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
3026.36633.51100472.10260.9873
336.24397.02200239.38060.9987
208.618410.53300206.72930.9917
182.655614.04400221.55850.8908
174.315117.54500262.39530.8921
140.5721.05600225.98870.8330
114.596724.56700275.78230.8495
91.274828.07800314.02840.8610
80.049631.58900314.46080.8552
66.733835.091000326.79650.8527
56.92138.61100373.02370.8425
50.712542.111200374.95530.8527
47.423545.611300404.81240.8489
45.162349.121400396.81530.8457

Framework versions

  • —Transformers 4.35.2
  • —Pytorch 2.1.0+cu118
  • —Datasets 2.15.0
  • —Tokenizers 0.15.0