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nijatzeynalov/wav2vec2-large-mms-1b-azerbaijani-common_voice15.0

sourceHugging Facecc-by-nc-4.0updated 3y agoView on Hugging Face
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Model Card

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wav2vec2-large-mms-1b-azerbaijani-common_voice15.0

This model is a fine-tuned version of facebook/mms-1b-all on the commonvoice15_0 dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.3188
  • —Wer: 0.2632

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: 0.001
  • —trainbatchsize: 16
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 100
  • —num_epochs: 15
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
7.64712.0107.67901.0658
5.67454.0204.27271.0088
3.50166.0303.10031.0
2.62238.0401.81371.0439
1.393910.0500.65490.3947
0.369612.0600.36650.2719
0.247514.0700.31880.2632

Framework versions

  • —Transformers 4.35.2
  • —Pytorch 2.1.1+cu121
  • —Datasets 2.15.0
  • —Tokenizers 0.15.0