CoolFace
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deepdml/whisper-small-eu

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

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openai/whisper-small Basque-Euskera

This model is a fine-tuned version of openai/whisper-small on the commonvoice11_0 dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.4485
  • —Wer: 19.7663

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: 64
  • —evalbatchsize: 32
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 500
  • —training_steps: 5000
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
0.0484.0410000.340221.7816
0.00479.0320000.386220.1694
0.001214.0230000.422119.7419
0.000819.0240000.441119.7174
0.000624.0150000.448519.7663

Framework versions

  • —Transformers 4.26.0.dev0
  • —Pytorch 1.13.0+cu117
  • —Datasets 2.7.1.dev0
  • —Tokenizers 0.13.2