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whisper-large-v3-turbo-arabic-saudi-phase2 – AI Model by Bruno7 | AlphaNeural AI
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whisper-large-v3-turbo-arabic-saudi-phase2
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peft
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openai/whisper-large-v3-turbo
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whisper-large-v3-turbo-arabic-saudi-phase2
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: 0.3257
Wer: 141.1640
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
0.4085
0.1689
200
0.4057
30.8476
0.372
0.3378
400
0.3659
57.7550
0.3519
0.5068
600
0.3507
45.0337
0.3432
0.6757
800
0.3356
177.4714
0.3227
0.8446
1000
0.3257
141.1640
Framework versions
PEFT 0.15.2
Transformers 4.52.4
Pytorch 2.7.0+cu126
Datasets 3.6.0
Tokenizers 0.21.1
