CoolFace
Modelpublic

SasankVH/sample_data

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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testing

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

  • Loss: 0.0000
  • Wer: 0.0

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: 16
  • evalbatchsize: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • lrschedulerwarmup_steps: 62
  • training_steps: 500

Training results

Training LossEpochStepValidation LossWer
0.0125.01250.00000.0
0.0250.02500.00000.0
0.0375.03750.00000.0
0.0500.05000.00000.0

Framework versions

  • Transformers 4.33.0.dev0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3