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thevan2404/whisper-medium-mini-media-long-ft-40epochs

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
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whisper-medium-mini-media-long-ft-10epochs-2

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

  • —Loss: 0.4343
  • —Wer: 16.8810

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: 4
  • —evalbatchsize: 1
  • —seed: 42
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 8
  • —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 500
  • —num_epochs: 10
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
0.35011.05320.350060.9325
0.17222.010640.320420.5788
0.06393.015960.330817.7653
0.02214.021280.375318.4887
0.01555.026600.375717.2026
0.00686.031920.417219.5338
0.00237.037240.410017.2026
0.00118.042560.419716.8810
0.00129.047880.436417.0418
0.000810.053200.434316.8810

Framework versions

  • —Transformers 4.53.3
  • —Pytorch 2.7.1+cu118
  • —Datasets 3.6.0
  • —Tokenizers 0.21.2