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minhvn1433/wav2vec2-base-vi-vlsp2020-ft-ViMD_central_phowhisper

sourceHugging Faceupdated 3mo agoView on Hugging Face
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wav2vec2-base-vi-vlsp2020-ft-ViMDcentralphowhisper

This model is a fine-tuned version of minhvn1433/wav2vec2-base-vi-vlsp2020 on the MINHVN1433/VIMDCENTRALPHOWHISPER - NA dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.5676
  • —Wer: 0.1943
  • —Cer: 0.1165

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: 3e-05
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —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: 500.0
  • —training_steps: 3000
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWerCer
0.44303.06755000.51600.19700.1177
0.39856.135010000.54590.20150.1164
0.36779.202515000.55840.19810.1171
0.344412.269920000.57650.19570.1172
0.335315.337425000.56760.19430.1165
0.328018.404930000.58720.19550.1173

Framework versions

  • —Transformers 5.13.0
  • —Pytorch 2.11.0+cu128
  • —Datasets 3.6.0
  • —Tokenizers 0.22.2