README.md

metadata

language:
  - ara
license: apache-2.0
base_model: openai/whisper-small
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - AsemBadr/GP
model-index:
  - name: Whisper Small for Quran Recognition
    results: []

Whisper Small for Quran Recognition

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

• epoch: 1.6474
• eval_loss: 0.0829
• eval_runtime: 2832.7593
• eval_samples_per_second: 1.428
• eval_steps_per_second: 0.179
• eval_wer: 14.8450
• step: 1000

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: 500
• training_steps: 5000
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.40.0.dev0
• Pytorch 2.1.2
• Datasets 2.17.1
• Tokenizers 0.15.1