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whisper-small-final-v2 – AI Model by uoseftalaat | AlphaNeural AI
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whisper-small-final-v2
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
ara
AsemBadr/GP
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small for Quran Recognition
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: 0.0180
Wer: 3.4382
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: 2000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0268
1.62
500
0.0316
8.0626
0.002
3.24
1000
0.0205
4.3665
0.0005
4.85
1500
0.0178
3.4210
0.0002
6.47
2000
0.0180
3.4382
Framework versions
Transformers 4.40.0.dev0
Pytorch 2.1.2
Datasets 2.17.1
Tokenizers 0.15.2
