README.md

metadata

language:
  - ar
license: apache-2.0
tags:
  - generated_from_trainer
base_model: tarteel-ai/whisper-base-ar-quran
datasets:
  - zolfa
metrics:
  - wer
model-index:
  - name: Whisper-raghadomar
    results:
      - task:
          type: automatic-speech-recognition
          name: Automatic Speech Recognition
        dataset:
          name: Zolfa Dataset
          type: zolfa
          args: 'config: ar, split: test'
        metrics:
          - type: wer
            value: 10.344827586206897
            name: Wer

Whisper-raghadomar

This model is a fine-tuned version of tarteel-ai/whisper-base-ar-quran on the Zolfa Dataset dataset. It achieves the following results on the evaluation set:

• Loss: 0.0205
• Wer: 10.3448

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: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 5
• training_steps: 250
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0008	4.7619	100	0.0066	6.8966
0.0003	9.5238	200	0.0205	10.3448

Framework versions

• Transformers 4.41.0
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1