CoolFace
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rishabhjain16/whisper_medium_to_pf10h

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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Model Card

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openai/whisper-medium

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

  • —Loss: 0.1594
  • —Wer: 21.8343

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: 32
  • —evalbatchsize: 32
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 500
  • —training_steps: 4000
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
0.02695.05000.1069118.0302
0.004910.0110000.1263135.2788
0.000915.0115000.135594.5731
0.000120.0120000.14137.5188
0.000125.0125000.15157.2508
0.000130.0230000.156824.8493
0.035.0235000.158822.1470
0.040.0240000.159421.8343

Framework versions

  • —Transformers 4.27.0.dev0
  • —Pytorch 1.13.1+cu117
  • —Datasets 2.9.1.dev0
  • —Tokenizers 0.13.2