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mfaiq2307/faiq-wav2vec2-large-xlsr-indo-demo-v100

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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faiq-wav2vec2-large-xlsr-indo-demo-v100

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the commonvoice11_0 dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.3986
  • —Wer: 0.4268

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
5.01662.924002.81071.0
1.23785.848000.45950.6213
0.38198.7612000.42550.5515
0.265311.6816000.40230.4949
0.214614.620000.37800.4760
0.171117.5224000.40980.4609
0.153720.4428000.40490.4495
0.131623.3632000.39780.4408
0.120226.2836000.39290.4282
0.109529.240000.39860.4268

Framework versions

  • —Transformers 4.28.0
  • —Pytorch 2.0.0+cu118
  • —Datasets 2.6.1
  • —Tokenizers 0.13.3