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whisper-large-v3-turbo-arabic-saudi-phase1 – AI Model by Bruno7 | AlphaNeural AI
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whisper-large-v3-turbo-arabic-saudi-phase1
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peft
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openai/whisper-large-v3-turbo
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whisper-large-v3-turbo-arabic-saudi-phase1
This model is a fine-tuned version of
openai/whisper-large-v3-turbo
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2449
Wer: 13.4228
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: 32
eval_batch_size: 2
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
No log
0.3333
10
0.8112
14.4295
No log
0.6667
20
0.3173
13.7584
No log
1.0
30
0.2449
13.4228
Framework versions
PEFT 0.15.2
Transformers 4.52.4
Pytorch 2.7.0+cu126
Datasets 3.6.0
Tokenizers 0.21.1
