CoolFace
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thevan2404/whisper-medium-ft-13epochs-movie

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
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Model Card

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whisper-medium-ft-13epochs-movie

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: 1.0875
  • —Wer: 23.5961

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: 13
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
0.54341.014240.527519.9446
0.45342.028480.525322.0473
0.35953.042720.548222.1733
0.27994.056960.610321.2478
0.21675.071200.692522.3684
0.15516.085440.776423.7409
0.1087.099680.842622.6265
0.07118.0113920.908123.9927
0.04289.0128160.962122.8532
0.027210.0142401.002622.7084
0.024211.0156641.040123.5331
0.016612.0170881.061422.7902
0.010413.0185121.087523.5961

Framework versions

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