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Chituyi/wav2vec2-swahili-xlsr-sw300m-asr

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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wav2vec2-large-xls-r-300m-tr-colab

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the commonvoice8_0 dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.4900
  • —Wer: 0.97

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: 50
  • —num_epochs: 5

Training results

Training LossEpochStepValidation LossWer
6.54970.4502.98191.0
2.88090.81002.88731.0
2.84161.21502.84271.0
2.81451.62002.80671.0
2.7472.02502.70921.0
2.10952.43001.34721.0
0.95462.83500.77080.9975
0.61043.24000.63170.9825
0.49413.64500.54270.97
0.43454.05000.53140.975
0.33274.45500.49270.9625
0.30994.86000.49000.97

Framework versions

  • —Transformers 4.27.4
  • —Pytorch 1.13.1+cu116
  • —Datasets 2.11.0
  • —Tokenizers 0.13.2