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Max200293/wav2vec2-classic-300m-norwegian-colab-hung

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

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wav2vec2-classic-300m-norwegian-colab-hung

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the voxpopuli dataset. It achieves the following results on the evaluation set:

  • —Loss: 3.8820
  • —Wer: 1.7882

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: 500
  • —num_epochs: 30
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
4.76862.574002.99531.0
2.50055.148002.27391.9808
1.65547.7212002.47201.6708
1.199510.2916002.26131.2480
0.897212.8620002.75991.8873
0.696215.4324003.27831.9560
0.555418.0128003.22721.7544
0.423420.5832003.07551.5645
0.334123.1536003.50221.7442
0.283225.7240003.79051.8324
0.229328.344003.88201.7882

Framework versions

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