whisper-tiny-ar-quran

This model is a fine-tuned version of openai/whisper-tiny on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0928
• Wer: 7.0535

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: 0.0001
• 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

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1766	0.05	500	0.2829	20.0236
0.1129	0.09	1000	0.1981	13.8364
0.0775	0.14	1500	0.1763	12.5450
0.0678	0.19	2000	0.1485	10.7302
0.0437	0.23	2500	0.1336	9.6693
0.0341	0.28	3000	0.1244	8.9602
0.0302	0.33	3500	0.1059	8.2224
0.0189	0.37	4000	0.1044	7.6902
0.0167	0.42	4500	0.0966	7.2643
0.0151	0.47	5000	0.0928	7.0535

Framework versions

• Transformers 4.26.0.dev0
• Pytorch 1.13.0+cu117
• Datasets 2.7.1.dev0
• Tokenizers 0.13.2