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whisper-large-v3-sorani-lora – AI Model by Muayad2025 | AlphaNeural AI
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whisper-large-v3-sorani-lora
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peft
safetensors
adapter
lora
transformers
openai/whisper-large-v3
apache-2.0
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whisper-large-v3-sorani-lora
This model is a fine-tuned version of
openai/whisper-large-v3
on the None 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: 0.0001
train_batch_size: 16
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 32
total_eval_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_BNB 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: 50
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.18.1
Transformers 5.2.0
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2
