quran-whisper-ar-tiny-1

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.0968
• Wer: 174.7253

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
• training_steps: 45
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.2643	0.3333	5	4.2666	209.8901
3.5798	0.6667	10	1.9318	173.6264
1.2993	1.0	15	1.0968	102.1978
0.8612	0.6667	20	0.9798	145.0549
0.7235	0.8333	25	0.7984	131.8681
0.5694	1.0	30	0.7010	127.4725
0.5781	0.7778	35	0.7017	378.0220
0.5704	0.8889	40	0.6511	341.7582
0.4247	1.0	45	0.5858	164.8352

Framework versions

• Transformers 4.41.2
• Pytorch 2.1.2
• Datasets 2.19.2
• Tokenizers 0.19.1