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Wsassi/whisper-small-minds14

sourceHugging Faceupdated 2y agoView on Hugging Face
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Model Card

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whisper-small-minds14

This model is a fine-tuned version of Wsassi/whisper-small-minds14 on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.2677
  • —Wer: 6.4516

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: 4
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —training_steps: 200

Training results

Training LossEpochStepValidation LossWer
2.289812.5252.86123.2258
2.073725.0502.10993.2258
1.416137.5751.68993.2258
1.235350.01001.45053.2258
1.116462.51251.34123.2258
1.113875.01501.29526.4516
0.993887.51751.27416.4516
1.0179100.02001.26776.4516

Framework versions

  • —PEFT 0.11.1
  • —Transformers 4.37.2
  • —Pytorch 2.2.0+cu118
  • —Datasets 2.19.2
  • —Tokenizers 0.15.1