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nrshoudi/arabic_speech_ASR_Whisper

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

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arabicspeechASR_Whisper

This model is a fine-tuned version of openai/whisper-tiny on the commonvoice13_0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8332

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: 0.001
  • trainbatchsize: 6
  • evalbatchsize: 6
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • lrschedulerwarmup_steps: 50
  • num_epochs: 10
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
0.94541.04000.9238
0.8462.08000.8786
0.73493.012000.8355
0.60794.016000.8174
0.50835.020000.8075
0.46556.024000.8072
0.35877.028000.8087
0.33368.032000.8147
0.269.036000.8242
0.219310.040000.8332

Framework versions

  • PEFT 0.9.0
  • Transformers 4.38.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2