uoseftalaat/whisper-small

Whisper Small for quran recognition

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

• Loss: 0.0183
• Wer: 3.3694

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: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0026	3.24	1000	0.0205	4.4868
0.0003	6.47	2000	0.0180	3.3522
0.0003	6.49	2005	0.0180	3.3522
0.0003	6.5	2010	0.0180	3.3522
0.0001	9.71	3000	0.0180	3.2663
0.0	12.94	4000	0.0183	3.3694

Framework versions

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