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whisper-small-for-quran – AI Model by areaz | AlphaNeural AI
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whisper-small-for-quran
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
Whisper
Quran
Speech Recognition
abdulhamedeid/quran-verses-audio-clips
generated_from_trainer
ar
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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Whisper Small For Quran
This model is a fine-tuned version of
openai/whisper-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0425
Wer: 11.9814
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: 35
eval_batch_size: 8
seed: 42
optimizer: Use 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: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1319
0.5845
1000
0.1063
17.3778
0.0507
1.1689
2000
0.0701
14.1397
0.0406
1.7534
3000
0.0499
12.7187
0.0352
2.3378
4000
0.0425
11.9814
Framework versions
Transformers 4.48.0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
