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rashedsafa/wav2vec2-large-xls-r-300m-bengali-v7

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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wav2vec2-large-xls-r-300m-bengali-v7

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

  • —Loss: 3.2999
  • —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: 4e-05
  • —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: 10
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
9.9650.854004.00761.0
3.53811.718003.34631.0
3.33332.5612003.29271.0
3.3073.4116003.30241.0
3.33864.2620003.29841.0
3.32775.1224003.29991.0
3.31455.9728003.29991.0
3.33066.8232003.29991.0
3.3267.6836003.29991.0
3.31438.5340003.29991.0
3.33119.3844003.29991.0

Framework versions

  • —Transformers 4.18.0
  • —Pytorch 1.11.0
  • —Datasets 2.1.0
  • —Tokenizers 0.12.1