CoolFace
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arynas/model

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

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model

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: 5.0046
  • Wer: 116.8945

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: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • lrschedulerwarmup_steps: 500
  • training_steps: 8000
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
1.52324.9510003.6227127.2695
0.05389.920004.3761125.3417
0.016614.8530004.6306114.6863
0.000819.840004.7625116.3687
0.002224.7550004.9290116.0182
0.000229.760004.9100118.2264
0.000134.6570004.9886116.5089
0.000139.680005.0046116.8945

Framework versions

  • Transformers 4.25.0.dev0
  • Pytorch 1.12.0+cu116
  • Datasets 2.6.1
  • Tokenizers 0.13.1