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metadata
language:
  - ar
license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - generated_from_trainer
datasets:
  - ubulut/quran-verses-lite
metrics:
  - wer
model-index:
  - name: Whisper Tiny AR - Quran
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: quran-whisper-dataset-lite
          type: ubulut/quran-verses-lite
          config: default
          split: None
          args: 'config: ar, split: test'
        metrics:
          - name: Wer
            type: wer
            value: 94.30650684931507

Whisper Tiny AR - Quran

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

  • Loss: 2.2877
  • Wer: 94.3065

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
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 4000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.0026 17.2414 1000 2.0479 100.2997
0.0004 34.4828 2000 2.1836 94.0925
0.0002 51.7241 3000 2.2654 94.7346
0.0001 68.9655 4000 2.2877 94.3065

Framework versions

  • Transformers 4.42.3
  • Pytorch 2.3.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1