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IoanaLivia/real-voices-400-10-epochs

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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real-voices-400-10-epochs

This model is a fine-tuned version of openai/whisper-small on the 400-real-voices dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.2847
  • —Wer: 13.9764

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
0.33211.0500.236416.4233
0.08692.01000.219714.5017
0.03543.01500.250614.8604
0.01764.02000.244914.0405
0.00975.02500.261614.1430
0.00546.03000.270914.0277
0.00277.03500.277113.8611
0.00238.04000.283613.9380
0.00199.04500.284013.9252
0.001710.05000.284713.9764

Framework versions

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