moatazlumin/Arabic_ASR_whisper_small_with_diacritics

Whisper Small for Arabic ASR with diacritics

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:

• Loss: 0.188
• Wer: 16.9

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

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0059	1.62	500	0.0259	18.8277
0.0019	3.24	1000	0.0223	17.1430
0.0007	4.85	1500	0.0211	17.0055
0.0003	6.47	2000	0.0198	16.4726
0.0	8.09	2500	0.0191	16.3351
0.0	9.71	3000	0.0187	16.3007
0.0	11.33	3500	0.0188	16.2491
0.0	12.94	4000	0.0188	16.9128

Framework versions

• Transformers 4.40.0.dev0
• Pytorch 2.1.2
• Datasets 2.17.1
• Tokenizers 0.15.2