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TurjoDutta5555/wav2vec2bert-bengali-0db-noisy-audio-1e5

sourceHugging Facemitupdated 4mo agoView on Hugging Face
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wav2vec2bert-bengali-0db-noisy-audio-1e5

This model is a fine-tuned version of facebook/w2v-bert-2.0 on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.8461
  • —Wer: 0.5885
  • —Cer: 0.1966

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: 1e-05
  • —trainbatchsize: 32
  • —evalbatchsize: 16
  • —seed: 42
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 64
  • —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 100
  • —num_epochs: 10
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWerCer
14.10571.26751006.92131.00.9949
6.27512.53502003.03670.89880.3379
4.44373.80253002.23190.71500.2458
3.28835.06374001.99390.64590.2175
3.05496.33125001.89290.61510.2076
2.35297.59876001.86360.59590.2024
2.40488.86627001.84610.58850.1966

Framework versions

  • —Transformers 5.0.0
  • —Pytorch 2.10.0+cu128
  • —Datasets 4.8.3
  • —Tokenizers 0.22.2