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Sammyeazzy/whisper-small-hi-benin1

sourceHugging Faceapache-2.0updated 9mo agoView on Hugging Face
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Model Card

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whisper-small-hi-benin1

This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.4379
  • —Wer: 4.7977

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: 4e-06
  • —trainbatchsize: 4
  • —evalbatchsize: 4
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 25
  • —training_steps: 500
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
3.69620.33221003.68475.1057
2.96250.66452002.83248.2138
2.2220.99673002.15547.3057
0.56951.32894000.53524.9540
0.35821.66115000.43794.7977

Framework versions

  • —Transformers 4.57.3
  • —Pytorch 2.9.0+cu126
  • —Datasets 3.6.0
  • —Tokenizers 0.22.1