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IoanaLivia/real-voices-800-10-epochs

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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real-voices-800-10-epochs

This model is a fine-tuned version of openai/whisper-small on the real-voices-800 dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.2401
  • —Wer: 12.6441

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: 8
  • —evalbatchsize: 4
  • —seed: 42
  • —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 10
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
No log000.689041.0325
0.27281.01000.197714.0149
0.08292.02000.184513.0028
0.04213.03000.191712.7466
0.02334.04000.198712.6313
0.01385.05000.217912.5673
0.00746.06000.218413.0028
0.00327.07000.231812.9644
0.00188.08000.236112.8363
0.00149.09000.239012.7338
0.001310.010000.240112.6441

Framework versions

  • —Transformers 4.49.0
  • —Pytorch 2.5.1+cu121
  • —Datasets 3.4.1
  • —Tokenizers 0.21.0