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NjeriKahoro/Sunbird-2-sunbird-gikuyu-financial

sourceHugging Faceapache-2.0updated 1mo agoView on Hugging Face
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Sunbird-2-sunbird-gikuyu-financial

This model is a fine-tuned version of Sunbird/asr-whisper-51-african-languages on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.1145
  • —Wer: 64.1834
  • —Cer: 43.5638

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: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 50
  • —training_steps: 400

Training results

Training LossEpochStepValidation LossWerCer
0.91030.9615500.799758.355741.3460
0.6221.92311000.742557.136541.3181
0.53282.88461500.757959.161142.0318
0.38863.84622000.794360.111942.0824
0.26014.80772500.876860.682342.5518
0.16945.76923000.968461.633142.8990
0.11066.73083501.062164.519043.3353
0.08257.69234001.114564.183443.5638

Framework versions

  • —Transformers 4.49.0
  • —Pytorch 2.7.0a0+79aa17489c.nv25.04
  • —Datasets 2.21.0
  • —Tokenizers 0.21.4