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large-v3-ar-finetune-ten-epoch – AI Model by EMahdi | AlphaNeural AI
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EMahdi
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large-v3-ar-finetune-ten-epoch
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ar
EMahdi/WhisperFinetune
openai/whisper-large-v3
finetune
apache-2.0
endpoints_compatible
us
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Whisper Large V3 Arabic Finetune
This model is a fine-tuned version of
openai/whisper-large-v3
on the EMahdi/WhisperFinetune dataset.
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
num_epochs: 10
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.45.2
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.20.3
