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whisper-large-v3-turbo-ar-sa-tuned – AI Model by Bruno7 | AlphaNeural AI
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whisper-large-v3-turbo-ar-sa-tuned
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peft
tensorboard
safetensors
whisper
generated_from_trainer
openai/whisper-large-v3-turbo
adapter
mit
us
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whisper-large-v3-turbo-ar-sa-tuned
This model is a fine-tuned version of
openai/whisper-large-v3-turbo
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: 5.5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
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: linear
lr_scheduler_warmup_steps: 100
num_epochs: 5
mixed_precision_training: Native AMP
Framework versions
PEFT 0.15.2
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1