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Roxysun/wav2vec2-large-xls-r-300m-czech-colab-finetuned

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

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wav2vec2-large-xls-r-300m-czech-colab-finetuned

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

  • —Loss: 624.5939
  • —Wer: 0.6178

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
3007.32123.511001006.73740.9865
354.30117.02200563.60800.9980
211.528910.53300599.57960.9165
187.865314.04400447.14780.8099
163.105617.54500430.52040.6875
143.034221.05600413.89470.6850
116.038824.56700435.57430.6737
95.555428.07800490.63290.6339
80.696631.58900493.96580.6344
68.733535.091000525.75070.6263
58.326938.61100582.57470.6128
54.318142.111200600.80870.6308
48.528745.611300594.69590.6112
43.04149.121400624.59390.6178

Framework versions

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