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whisper-tiny-arabic-fine-tuned-v2 – AI Model by Mohammadawad1 | AlphaNeural AI
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Mohammadawad1
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whisper-tiny-arabic-fine-tuned-v2
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pytorch
whisper
generated_from_trainer
common_voice_17_0
apache-2.0
model-index
us
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whisper-tiny-arabic-fine-tuned-v2
This model is a fine-tuned version of
Mohammadawad1/whisper-tiny-arabic-finetuned-v1
on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:
Loss: 0.6705
Wer: 48.6608
Cer: 18.3751
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: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
0.1039
1.0
883
0.5912
47.6739
17.4026
0.076
2.0
1767
0.6078
47.8008
17.7679
0.0597
3.0
2650
0.6399
49.1874
18.6247
0.0374
4.0
3532
0.6705
48.6608
18.3751
Framework versions
Transformers 4.28.0
Pytorch 2.6.0+cu124
Datasets 2.18.0
Tokenizers 0.13.3
