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Arabic_STT – AI Model by HamadaFathy | AlphaNeural AI
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Arabic_STT
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-large-v3-turbo
finetune
mit
endpoints_compatible
us
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Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 1e-05
train_batch_size: 18
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 72
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 15
Framework versions
Transformers 4.48.3
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1
