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Mustafaa4a/ASR-Somali

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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ASR-Somali

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.3660
  • —Wer: 0.3060

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
3.14352.094000.76240.7706
0.58294.188000.36460.3935
0.36346.2712000.33180.3944
0.29428.3616000.31480.3403
0.241910.4420000.30000.3255
0.210412.5324000.29510.3312
0.186414.6228000.32960.3083
0.166616.7132000.32640.3153
0.14818.836000.31880.3028
0.130520.8940000.34480.3002
0.120622.9844000.36600.3060

Framework versions

  • —Transformers 4.28.0
  • —Pytorch 2.0.0
  • —Datasets 1.18.3
  • —Tokenizers 0.13.3