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: 0.0157
Wer: 5.2632

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: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0155	2.8571	100	0.0156	5.2632
0.0037	5.7143	200	0.0199	5.2632
0.0011	8.5714	300	0.0175	5.2632
0.0006	11.4286	400	0.0123	5.2632
0.0003	14.2857	500	0.0187	5.2632
0.0001	17.1429	600	0.0126	5.2632
0.0001	20.0	700	0.0159	5.2632
0.0002	22.8571	800	0.0137	5.2632
0.0001	25.7143	900	0.0149	5.2632
0.0001	28.5714	1000	0.0157	5.2632

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1

raghadOmar/whisper-base-quran

Zolfa-raghadomar

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

raghadOmar/
whisper-base-quran