CoolFace
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discoverylabs/whisper-medium-swa

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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Whisper Swahili Medium

This model is a fine-tuned version of openai/whisper-medium on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.3519
  • —Wer: 25.2615

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: 8
  • —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: 500
  • —training_steps: 4000
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
0.35950.434210000.458631.5976
0.30010.868420000.379427.8295
0.14511.302630000.370126.1972
0.14691.736940000.351925.2615

Framework versions

  • —Transformers 4.46.0.dev0
  • —Pytorch 2.1.1+cu121
  • —Datasets 3.0.1
  • —Tokenizers 0.20.0