quran-asr – AI Model by uzair0 | AlphaNeural AI

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quran-asr

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uzair0/quran-asr

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quran-asr

This model is a fine-tuned version of uzair0/quran-asr on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.0083
Wer: 0.6094
Cer: 0.1724

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: 1
eval_batch_size: 1
seed: 1869940075
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 800
training_steps: 15000

Training results

Training Loss	Epoch	Step	Cer	Validation Loss	Wer
0.3657	4.5669	2000	0.2276	1.0013	0.759
0.2776	9.1326	4000	0.2153	0.9888	0.7128
0.2465	13.6994	6000	0.201	1.0453	0.7355
0.1763	18.2651	8000	0.1908	1.0804	0.733
0.1584	22.832	10000	0.1915	1.0795	0.7153
0.1762	27.3977	12000	1.0009	0.6368	0.1796
0.1373	31.9646	14000	1.0083	0.6094	0.1724

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.8.3
Tokenizers 0.22.2