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

Loss: 1.3458
Wer: 190.3525

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
0.0001	500.0	1000	1.3154	243.7848
0.0001	1000.0	2000	1.3080	204.8237
0.0	1500.0	3000	1.3405	221.1503
0.0	2000.0	4000	1.3458	190.3525

Framework versions

Transformers 4.42.3
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

ubulut/whisper-tiny-quran

Whisper Tiny AR - Quran

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ubulut/
whisper-tiny-quran